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# Duckietown

Learning robotics and AI like the professionals

## Sitemaps

- [XML Sitemap](https://duckietown.com/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [Duckiebots now available pre-assembled and initialized](https://duckietown.com/duckiebot-db21j-now-available-pre-assembled-and-initialized/) - Save time and start using your robot right out of the box with pre-assembled and pre-initialized Duckiebots, now available on the Duckietown shop.
- [Sim-to-Sim-to-Real Transfer for Small Autonomous Vehicles](https://duckietown.com/sim-to-sim-to-real-transfer-for-small-autonomous-vehicles/) - This project studies Sim-to-Real Transfer in Duckietown using high- and low-fidelity simulators to predict autonomous vehicles performance on Duckiebots.
- [DB21v3-J Duckiebot upgrade kit now available](https://duckietown.com/db21v3-j-duckiebot-upgrade-kit-is-out/) - The DB21Jv3 Duckiebot upgrade kit improves the omnidirectional wheel, reduces assembly time and increases compatibility with a range of Jetson Nano kits.
- [Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents](https://duckietown.com/integrated-benchmarking-and-design-for-reproducible-and-accessible-evaluation-of-robotic-agents/) - Duckietown Autolabs enables reproducible evaluation or robotic agents with an accessible setup, providing means for an integrated benchmarking system within the Duckietown ecosystem.
- [Safe Reinforcement Learning (RL) Thesis Project](https://duckietown.com/safe-reinforcement-learning-rl-duckietown-thesis-project/) - "Safe Reinforcement Learning (Safe-RL)" explores using Deep Q Learning to train Duckiebots to perform lane following. Reproduce these results with Duckietown.
- [Reinforcement Learning for the Control of Autonomous Robots](https://duckietown.com/reinforcement-learning-for-the-control-of-autonomous-robots/) - This thesis applies Reinforcement Learning (RL) for autonomous lane-keeping and YOLO v5 obstacle detection in Duckietown, achieving safe navigation.
- [Deep Reinforcement Learning for Autonomous Lane Following](https://duckietown.com/deep-reinforcement-learning-for-autonomous-lane-following/) - This project uses deep reinforcement learning for autonomous lane following, tackling sim-to-real challenges with domain adaptation and vision-based control.
- [Pure Pursuit Lane Following with Obstacle Avoidance](https://duckietown.com/pure-pursuit-lane-following-with-obstacle-avoidance/) - This project implements adaptive pure pursuit control and deep learning-based obstacle detection for lane following and obstacle avoidance for Duckiebots.
- [Introducing Autonomous Parking in Duckietown Cities](https://duckietown.com/autonomous-parking-in-duckietown/) - This student project implements an autonomous parking solution, inclusive of parking lot design and autonomous behavior, for Duckiebots in Duckietown.
- [Smart Lighting: Realistic Day and Night in Duckietown](https://duckietown.com/smart-lighting-autonomous-driving-realistic-day-and-night-in-duckietown/) - What if Duckietowns had smart lighting, so that car and street light fields would combine dynamically for optimal visual perception?
- [Path Planning for Multi-Robot Navigation in Duckietown](https://duckietown.com/path-planning-for-multi-robot-navigation-in-duckietown/) - A path planning algorithm that enables optimized multi-robot navigation in Duckietown, using nodegraph mapping and movement minimization techniques.
- [QuackCruiser: Autonomous Navigation with Dijkstra](https://duckietown.com/autonomous-navigation-in-duckietown-with-quackcruiser/) - This project develops Duckietown Autonomous Navigation using Dijkstra planning, perception, and control for lane following, turning, and obstacle detection.
- [Autonomous Navigation System Development in Duckietown](https://duckietown.com/autonomous-navigation-system-development-in-duckietown/) - This project implements an Autonomous Navigation System using computer vision, and Dijkstra algorithm for precise lane following and safe intersection handling.
- [Features for Efficient Autonomous Navigation in Duckietown](https://duckietown.com/visual-feedback-for-autonomous-navigation-in-duckietown/) - Students at TUM build on the Duckietown out-of-the-box autonomous navigation pipeline introducing features for a more complete driving experience.
- [Monocular Navigation in Duckietown Using LEDNet Architecture](https://duckietown.com/monocular-navigation-in-duckietown-using-lednet-architecture/) - This project is on monocular navigation in Duckietown using LEDNet, comparing its performance with vision transformer for lane-following and obstacle avoidance.
- [Extended Kalman Filter (EKF) SLAM for Duckiebots](https://duckietown.com/extended-kalman-filter-slam-for-duckiebots/) - Implementing Extended Kalman Filter (EKF) SLAM on Duckiebots to enhance localization accuracy and map static landmarks using AprilTags and odometry.
- [Duckiebot Localization with Sensor Fusion in Duckietown](https://duckietown.com/localization-with-sensor-fusion-in-duckietown/) - This project explores localization in Duckietown using sensor fusion to estimate Duckiebot poses through visual tags and stitched camera inputs.
- [Intersection Navigation in Duckietown Using 3D Image Features](https://duckietown.com/intersection-navigation-in-duckietown-using-3d-image-feature/) - Explore how 3D image features enhance Duckiebot intersection navigation in Duckietown, blending cutting-edge BEV tech with hands-on autonomous driving insights.
- [Visual Obstacle Detection using Inverse Perspective Mapping](https://duckietown.com/visual-obstacle-detection-using-inverse-perspective-mapping/) - This project develops a visual obstacle detection system in Duckietown using inverse perspective mapping to improve autonomous navigation accuracy.
- [Autoduck: VLM-based Autonomous Navigation in Duckietown](https://duckietown.com/autoduck-vlm-autonomous-navigation-in-duckietown/) - This project implements an autonomous navigation system on the Duckiebot DB21J in the Duckietown environment using vision-based control and VLMs.
- [Learning robot autonomy with Duckiedrones](https://duckietown.com/learning-robot-autonomy-with-duckiedrones/) - Saif Chaudry, Computer Science student at the College of Charleston, South Carolina, tells us about his experience learning robot autonomy with Duckiedrones.
- [University of Nevada: Professor Lei Yang uses Duckietown based RET](https://duckietown.com/university-of-nevada-professor-lei-yang-uses-duckietown-based-ret/) - University of Reno, March 7, 2023: Lei Yang, Associate Professor in the Department of Computer Science and Engineering of the University of Nevada in Reno shares with us his experience conducting a program called Research Experience for Teachers (RET) focused on “Integrating Big Data into Robotics”. Quick links University of Nevada Integrating Big Data into
- [Autonomous Navigation and Parking in Duckietown](https://duckietown.com/autonomous-navigation-and-parking-in-duckietown/) - This project uses PID control, AprilTag-based turns, dead reckoning, and visual servoing to enable autonomous navigation and parking in Duckietown.
- [Tor Vergata University and Duckietown deliver hands-on control systems workshop at EU Maker Faire Rome 2025](https://duckietown.com/tor-vergata-university-and-duckietown-partner-to-deliver-a-hands-on-control-systems-workshop-at-the-eu-maker-faire-rome-2025-2/) - Tor Vergata University delivers a hands-on educational workshop on control systems at the EU Maker Faire Rome 2025 in partnership with Duckietown.
- [Duckietown at the European Maker Faire 2025 - Rome](https://duckietown.com/european-maker-faire-2025/) - Duckietown goes to the European Maker Faire in Rome, where makers, innovators, and creatives from all over the world showcase their projects.
- [Visual Control for Autonomous Navigation in Duckietown](https://duckietown.com/visual-control-for-autonomous-navigation-in-duckietown/) - Visual control enables autonomous navigation of mobile robots in Duckietown by extracting lane features and computing steering commands from camera data.
- [New Software Release - Ente Changelog](https://duckietown.com/duckietown-ente-release-changelog/) - Duckietown's new software release (Ente) introduces virtual robots, the Duckiematrix, DTPS, refactored core, new robot apps, for ever more joyful learning.
- [Sim2Real Lane Segmentation via Domain Adaptation](https://duckietown.com/sim2real-lane-segmentation-via-domain-adaptation/) - Sim2Real lane segmentation using domain adaptation enables transfer from synthetic to real data with minimal labeled supervision in Duckietown.
- [Robert Moni's experience after winning AI-DO 5](https://duckietown.com/robert-monis-experience-after-winning-ai-do-5/) - Robert Moni Budapest University of Technology and Economics SmartLab AI An interview with Robert Moni Robert is a Ph. D. student at the Budapest University of Technology and Economics. His work focuses on deep learning and he has (co)authored papers on reinforcement learning (RL), imitation learning (IL), and sim-to-real learning using for autonomous vehicles using
- [Interpretable Reinforcement Learning for Visual Policies](https://duckietown.com/interpretable-reinforcement-learning-for-visual-policies/) - Explore interpretable reinforcement learning using self-supervised attention mechanisms in Duckietown to understand agent decision-making processes.
- [Object Detection on Duckiebots Using YOLOv5 Models](https://duckietown.com/object-detection-on-duckietown-robots-using-yolov5-models/) - This study analyzes object detection on Duckiebots using YOLOv5 architecture, optimizing models with various techniques to achieve 97.7% accuracy in mAP.
- [AI Driving Olympics Ready for Submissions](https://duckietown.com/ai-driving-olympics-ready-for-submissions/) - Submissions to the AI Driving Olympics are officially open for the Lane Following task evaluated in simulation. To make a submission, follow the instructions in the AIDO-book. For example, a good place to start is the Quick Start Guide. For discussion please check out the AIDO forums.
- [AI-DO I Interactive Tutorials](https://duckietown.com/ai-do-i-interactive-tutorials/) - The AI Driving Olympics, presented by the Duckietown Foundation with help from our partners and sponsors is now in full swing. Check out the leaderboard! We now have templates for ROS, PyTorch, and TensorFlow, as well as an agnostic template. We also have baseline implementation using the classical pipeline, imitation learning with data from both
- [Survey on Testbeds for Vehicle Autonomy & Robot Swarms](https://duckietown.com/survey-on-testbeds-for-vehicle-autonomy-robot-swarms/) - This paper surveys 17 small-scale testbeds for Connected and Vehicle Autonomy and Robot Swarms, detailing their characteristics and classifications.
- [Duckiebots are ready to conquer the world!](https://duckietown.com/the-duckiebots-are-ready-to-conquer-the-world/) - Dear friends of Duckietown: We are excited to bring you tremendous news about the Duckietown project. In the past years we have had the support from many enthusiastic individuals who have donated their time and efforts to help the Duckietown project grow, and grown it has! Duckietown started at MIT in 2016 – almost two
- [Kicking off the Duckietown Donation program with Cali, Colombia](https://duckietown.com/kicking-off-the-duckietown-donation-program/) - We’ve reached our Kickstarter goal! This is great news because it means that we can kick off our donation program, with our first donation of a Class Kit, to students at the Universidad Autónoma de Occidente in Cali, Colombia. Why a donation program? Artificial Intelligence and Robotics are the sciences of the future, which is why we want everyone to
- [Reproducible Sim-to-Real Traffic Signal Control Environment](https://duckietown.com/reproducible-sim-to-real-traffic-signal-control-environment/) - A low-cost sim-to-real testbed in Duckietown for evaluating traffic signal control policies with reproducible experiments and real-world sensors.
- [Visual Feedback for Autonomous Lane Tracking in Duckietown](https://duckietown.com/visual-feedback-for-lane-tracking-in-duckietown/) - Duckietown vehicle autonomy: how to get an off-the-shelf self-driving car to navigate autonomously a model urban environment using only visual feedback.
- [Making robotics in Peru more accessible](https://duckietown.com/nicolas-figueroa-robotics-in-peru/) - Nicolas Figueroa, CEO of NFM Robotics and Robotics Lab, shares his vision of making robotics in Peru and Latin America accessible.
- [Adapting World Models with Latent-State Dynamics Residuals](https://duckietown.com/adapting-world-models-with-latent-state-dynamics-residuals/) - This work uses Latent-State Dynamics Residuals for sim-to-real RL, adapting world models with minimal real data for policy transfer in Duckietown.
- [Transformer Visual Control for Dynamic Obstacle Avoidance](https://duckietown.com/transformer-visual-control-for-dynamic-obstacle-avoidance/) - Transformer Visual Control approach for robotic obstacle avoidance using GAS-H-Trans, validated in simulation with Duckietown environments.
- [VAE-Based Out-of-Distribution Detectors for Embedded Systems](https://duckietown.com/vae-based-out-of-distribution-detectors-for-embedded-systems/) - Compressing VAE-based OOD detectors for real-time deployment in Duckietown with pruning, quantization, and knowledge distillation.
- [Embedded Out-of-Distribution Detection in Duckietown](https://duckietown.com/embedded-out-of-distribution-detection-in-duckietown/) - This research explores Embedded Out-of-Distribution (OOD) Detection in Duckietown, resulting in 87.5% succesful detections for real-time autonomous systems.
- [Semantic Image Segmentation Methods in Duckietown](https://duckietown.com/semantic-image-segmentation-methods-in-duckietown/) - Semantic image segmentation studies the problem of giving meaning to pixels. Authors explore deep learning models: SegNet, U-Net, FC-DenseNet, and DeepLab-v3.
- [City Rescue: Autonomous Recovery System for Duckiebots](https://duckietown.com/city-rescue-autonomous-recovery-system-for-duckiebots/) - Learn how to transform Duckietown in a smart city performing autonomous recovery of distressed Duckiebots, through vehicle to infrastructure (v2i) interactions.
- [University of Nevada doing IoT with Duckietown](https://duckietown.com/university-of-nevada-doing-iot-with-duckietown/) - University of Nevada doing IoT with Duckietown Here’s an extract from Nevada Today’s article “Integrating big data into robotics with Duckietown”, written by Kaeli Britt. Read the full article here For the third year, the University of Nevada, Reno’s Computer Science & Engineering (CSE) department conducted a Research Experience for Teachers (RET) program focused on
- [There's MAGIC in Westminster: innovating and cultivating, an interview with Graham Dodge](https://duckietown.com/theres-magic-in-westminster-innovating-and-cultivating-an-interview-with-graham-dodge/) - Westminster, Maryland: MAGIC and Duckietown partner to bring robot autonomy education in Westminster, MD. The Mid-Atlantic Gigabit Innovation Collaboratory (MAGIC) was awarded funding from the Knorr-Bremse Global Care program in July of 2022 to launch an Autonomous Robotics Innovation Center (ARIC) in the heart of downtown Westminster. Their goal for ARIC is to use the Duckietown platform to give Westminster
- [Implementing vision based dynamic obstacle avoidance](https://duckietown.com/dynamic-obstacle-avoidance-in-duckietown/) - This student project implements dynamic obstacle avoidance for Duckiebots with the aim of detecting and navigating around static and moving obstacles.
- [Proxy Domains for Evaluation and Learning](https://duckietown.com/proxy-domains-for-evaluation-and-learning-in-duckietown/) - This research defines metrics to quantify proxy domains' in robotics, using PRPV and PLV to assess transfer learning, and domain adaptation in Duckietown.
- [Adaptive Lane Following with Auto-Trim Tuning](https://duckietown.com/adaptive-lane-following-with-automatic-trim-calibration/) - This project enhances Adaptive Lane Following by enabling Duckiebots to autonomously calibrate wheel trim, ensuring stable navigation without manual tuning.
- [Deep Reinforcement and Transfer Learning for Robot Autonomy](https://duckietown.com/deep-reinforcement-and-transfer-learning-for-robot-autonomy/) - This work explores deep reinforcement learning (DRL) agents trained in simulation and transferred using Duckietown for real-world validation.
- [Flexible tether control in marsupial systems](https://duckietown.com/flexible-tether-control-in-heterogeneous-marsupial-systems/) - This project develops a flexible tether control system for Duckiebot, using ROS and an automated spool to optimize tether length for mobility and efficiency.
- [Ozgur Erkent: robotic rescue operations with Duckietown](https://duckietown.com/ozgur-erkent-exploring-robotics-and-rescue-operations-with-duckietown/) - Meet Ozgur Erkent, Assistant Professor at Hacettepe University’s Computer Engineering Department in Turkey, who is teaching and doing research with Duckietown.
- [PID and Convolutional Neural Networks (CNN) in Duckietown](https://duckietown.com/pid-and-convolutional-neural-network-cnn-in-duckietown/) - This paper explores PID and convolutional neural networks (CNN) for autonomous driving, comparing their performance for line-following tasks in Duckietown.
- [Visual monitoring of automated guided vehicles in Duckietown](https://duckietown.com/visual-monitoring-of-automated-guided-vehicles-in-duckietown/) - This work implemented a visual monitoring system in Duckietown to enable real-time trajectory tracking and enhance traffic safety.
- [Intelligent and autonomous mobility systems](https://duckietown.com/intelligent-and-autonomous-mobility-systems/) - Research Associates Yikai Zeng and Xinyu Zhang from the Technische Universität Dresden tell us about their work in developing autonomous mobility systems.
- [Variational Autoencoder for autonomous driving in Duckietown](https://duckietown.com/variational-autoencoder-for-autonomous-driving-in-duckietown/) - This research explores using variational autoencoder and reinforcement learning (RL) for lane following in Duckietown, highlighting benefits and challenges.
- [Autonomy Education: Teaching Networked Systems](https://duckietown.com/networked-systems-autonomy-education-with-duckietown/) - This research explores how networked systems education is enhanced with Duckietown, a platform offering hands-on autonomy learning for students worldwide.
- [Autonomous Calibration - Wheels and Camera in Duckietown](https://duckietown.com/autonomous-calibration-wheels-and-camera-in-duckietown/) - This research presents a fully autonomous calibration approach for camera and wheels for the Duckiebots, by using environmental data and self-movement.
- [Visual localization using multi-camera multi-robot system](https://duckietown.com/multi-camera-multi-robot-visual-localization-system/) - This research presents a framework for visual localization on rectangular maps with AprilTags, reducing setup allowing flexible camera placement in Duckietown.
- [The 6th Annual Massrobotics Duckiedrone Academy](https://duckietown.com/duckiedrone-academy-massrobotics-summer-2024/) - Duckietown partners with MassRobotics and Brown University to provide a week-long hands-on summer school in drone autonomy to high-school learners in Boston.
- [Duckiebot Intersection Navigation with DBSCAN](https://duckietown.com/dbscan-driven-intersection-navigation-for-duckiebots/) - This project uses DBSCAN (Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise) to improve Duckiebot intersection navigation.
- [Obstacle Avoidance for Dynamic Navigation Using Obstavoid](https://duckietown.com/obstavoid-dynamic-obstacle-avoidance-in-duckietown/) - The Obstavoid Algorithm enables obstacle avoidance in Duckietown in realtime, calculating optimal paths using a 3D grid for dynamic, collision-free navigation.
- [Nurturing future engineers and leaders with Kevin Smith](https://duckietown.com/future-engineers-with-kevin-smith/) - STEM instructor Kevin Smith shares his experience at MassRobotics: providing young learners with core skills to become future engineers and sector leaders.
- [The AI Driving Olympics at NIPS 2018](https://duckietown.com/the-ai-driving-olympics-at-nips-2018/) - General Information The AI Driving Olympics at NIPS 2018 Andrea Censi Liam Paull, Jacopo Tani, Julian Zilly, Thomas Ackermann, Oscar Beijbom, Berabi Berkai, Gianmarco Bernasconi, Anne Kirsten Bowser, Simon Bing, Pin-Wei David Chen, Yu-Chen Chen, Maxime Chevalier-Boisvert, Breandan Considine, Andrea Daniele, Justin De Castri, Maurilio Di Cicco, Manfred Diaz, Paul Aurel Diederichs, Florian Golemo, Ruslan
- [Successful failures: learning robotics with Prof. Bruegge](https://duckietown.com/prof-bruegge-interview-failing-successfully/) - Prof. Bruegge and his colleagues about his experience using Duckietown and the new 4GB Duckiebots.
- [Monocular Visual Odometry for Duckiebot Navigation](https://duckietown.com/monocular-visual-odometry-for-duckiebot-navigation/) - This project by Gianmarco Bernasconi, a former Duckietown student, provided an estimate of the Duckiebot's pose using a monocular visual odometry approach.
- [ProTip: Duckiebot Remote Connection](https://duckietown.com/protip-duckiebot-remote-connection/) - Have you ever wanted to work from home but your Duckiebot is back at the lab? Learn how to access your Duckiebot from anywhere at any time.
- [Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development](https://duckietown.com/towards-autonomous-driving-with-small-scale-cars-a-survey-of-recent-development/) - This survey reviews small-scale car platforms and Autonomous Driving as cost-effective educational and research tools, advancing robot autonomy.
- [YOLO-based Robust Object Detection in Duckietown](https://duckietown.com/yolo-based-robust-object-detection/) - This project implements robust object detection in Duckietown for Duckiebots under varying lighting conditions and object clutter using a YOLO-based NN.
- [Goto-1: Planning with Dijkstra](https://duckietown.com/goto-1-planning-with-dijkstra/) - This project enhances Duckiebot planning capabilities for autonomous navigation in Duckietowns using the Dijkstra algorithm.
- [Enhancing Visual Domain Randomization for Sim2Real Transfer](https://duckietown.com/enhancing-visual-domain-randomization-for-sim2real-transfer/) - Domain randomization helps sim-to-real-transfer. This work focuses on visual domain randomization, adding real images to synthetic ones from Duckietown Gym.
- [Reward Consistency for Interpretable Feature Discovery in RL](https://duckietown.com/leveraging-reward-consistency-for-interpretable-feature-discovery-in-reinforcement-learning/) - "RL-in-RL" is proposed for interpretable feature discovery in RL agents, emphasizing reward consistency over action matching. Validated on Atari and Duckietown.
- [Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer](https://duckietown.com/vision-based-drl-autonomous-driving-agent-with-sim2real-transfer-li-okhrin/) - To achieve autonomous driving, vehicles must perform tasks such as lane and car following. Here is a vision-based deep RL agent with Sim2Real training to do so.
- [Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm](https://duckietown.com/sequential-multi-policy-reinforcement-learning-dukkipati-et-al/) - Solving complex problems using reinforcement learning necessitates breaking down the problem into manageable tasks, and learning policies to solve these tasks. Learn more about Sequential Multi-Policy Reinforcement Learning in this article.
- [Sim2Real Transfer of Multi-Agent Policies for Self-Driving](https://duckietown.com/sim2real-transfer-of-multi-agent-policies-for-self-driving/) - This work proposes a sim2real transfer method for AVs multi-agent policies, reducing the reality gap using "MAPPO" with domain randomization.
- [Exploring the skies at the summer Duckiedrone academy](https://duckietown.com/exploring-the-skies-at-the-summer-duckiedrone-academy/) - The Duckiedrone summer academy is an event organized in Boston by MassRobotics, Brown University and Duckietown with the generous support of Amazon Robotics designed to introduce young learners to autonomous robotics.
- [Teaching robot autonomy at AGH Krakow with Prof. Długosz](https://duckietown.com/dlugosz-robot-autonomy/) - Prof. Marek Dlugosz tells us what he likes about teaching robot autonomy with Duckietown in his AI and Autonomous Vehicles laboratory in Krakow, Poland.
- [Development of an Ackermann steering autonomous vehicle](https://duckietown.com/ackermann-steering-duckiebot/) - This student project implements an Ackermann steering system on a Duckiebot to simulate 4 wheels, and better and more complex real-world car model.
- [Vision-based Reinforcement Learning for Lane-Tracking Control](https://duckietown.com/vision-based-reinforcement-learning-for-lane-tracking-control-2/) - This Sim2Real study develops a vision-based reinforcement learning controller for Duckiebot lane following and collision avoidance.
- [Evaluating Adversarial Robustness in Duckietown Navigation](https://duckietown.com/deep-rl-adversarial-robustness/) - This study investigates security risks and evaluates adversarial robustness in DRL for autonomous driving in Duckietown's simulated environment.
- [Anatidaephilia: centralized city-based SLAM (cSLAM)](https://duckietown.com/anatidaephilia-centralized-city-based-slam-cslam/) - Anatidaephilia is loving the idea that somewhere, somehow, a duck is watching you. The cSLAM equips Duckietowns with the ability to localize Duckiebots.
- [Dino Claro: a Duckietown journey from project to thesis](https://duckietown.com/dino-claro-duckietown-journey/) - Dino Claro, a mechanical and mechatronics engineering graduate from the University of Cape Town, shares his Duckietown journey: with challenges and results.
- [Massachusettes Institute of Technology: first BCI hackathon](https://duckietown.com/mit-bci-hackathon/) - Take a look at MIT's first BCI hackathon, and how students used their brains to move around Duckiebots in Duckietowns filled with pedestrian-obstacle duckies.
- [Round 2 of the the AI Driving Olympics is underway!](https://duckietown.com/round-2-of-the-the-ai-driving-olympics-is-underway/) - The AI-DO is back! We are excited to announce that we are now ready to accept submissions for AI-DO 2, which will culminate in a live competition event to be held at ICRA 2019 this May 20-22. The AI Driving Olympics is a global robotics competition that comprises a series of challenges based on autonomous
- [The Duckietown path to robotics: an interview with Prof. Francesco Maurelli](https://duckietown.com/the-duckietown-path-to-robotics-an-interview-with-prof-francesco-maurelli/) - Jacobs University, Bremen, June 1, 2022: Francesco Maurelli, professor at the Jacobs University of Bremen, talks about how Duckietown impacted his work and his academic career. The Duckietown path to robotics: an interview with Prof. Francesco Maurelli Francesco Maurelli, professor at the Jacobs University of Bremen, Germany, shares in the interview below his interaction with Duckietown. Quick
- [Self-driving cars, meet rubber duckies - MIT News](https://duckietown.com/self-driving-cars-meet-rubber-duckies-mit-news/) - Self-driving cars, meet rubber duckies MIT News
- [STEM Intensive Learning with Prof. Krinkin](https://duckietown.com/community-spotlight-kirill-krinkin-stem-intensive-learning-approach/) - In the world of engineering education, there are many excellent courses, but often the curriculum has one serious drawback – the lack of good connectivity between different topics. Over in Saint Petersburg, Russia, Kirill Krinkin from SPbETU and JetBrains Research has been using Duckietown to address this problem through an intensive STEM winter course. STEM Intensive Learning Approach by Kirill
- [Learn to Program Self-Driving Cars With Duckietown - IEEE Spectrum](https://duckietown.com/learn-to-program-self-driving-cars-and-help-duckies-commute-with-duckietown-ieee-spectrum/) - Learn to Program Self-Driving Cars (and Help Duckies Commute) With Duckietown IEEE Spectrum
- [Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers](https://duckietown.com/monocular-robot-navigation-with-self-supervised-pretrained-vision-transformers/) - Duckietown is used by researchers worldwide. Read about "Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers" by Saavedra-Ruiz et al.
- [Spearheading Autonomy: Giulio Vaccari and the amazing AEA](https://duckietown.com/duckietown-politecnico-milano-giulio-vaccari/) - Giulio Vaccari tells us how he spearheaded Duckietown at the Milan Polytechnic through the AEA student association, to support autonomy research and networking.
- [How Duckietown inspired a 14 year old girl to become a tech entrepreneur](https://duckietown.com/valeria-cagninas-experience-with-duckietown/) - Learn how Duckietown inspired 14 year old Valeria Cagnina to pursue a career in robotics!
- [Duckietown: An Innovative Way to Teach Autonomy](https://duckietown.com/learning-autonomous-systems-an-interdisciplinary-project-based-experience-6/) - Title: Duckietown: An Innovative Way to Teach Autonomy Authors: Jacopo Tani, Liam Paull, Maria T. Zuber, Daniela Rus, Jonathan How, John Leonard, Andrea Censi Published in EDURobotics 2016 Duckietown: An Innovative Way to Teach Autonomy Teaching robotics is challenging because it is a multidisciplinary, rapidly evolving and experimental discipline that integrates cutting-edge hardware and software.
- [Global Demo Day 2017 at Montreal, Zurich and Chicago](https://duckietown.com/global-demo-day-2017-at-montreal-zurich-and-chicago/) - The 2nd edition of the Duckietown demo was a an internationally coordinated event. Massive Duckietown expositions were built in ETH Zürich and Université de Montréal, and TTI Chicago also joined remotely. The event was broadcast over skype between the locations and thousands of visitors were present between the locations. The Montréal event was sponsored by
- [TV Svizzera - Una "Paperopoli" per la guida autonoma](https://duckietown.com/tv-svizzera-una-paperopoli-per-la-guida-autonoma/) - La TV Svizzera ci intervista.
- [A lab for self-driving vehicles](https://duckietown.com/a-lab-for-self-driving-vehicles/) - A lab for self-driving vehicles: profile of the Fall 2017 class.
- [Student Day at ST Napoli](https://duckietown.com/student-day-at-st-napoli/) - High school students from around Naples enjoyed Duckietown at STMicroelectronics Research Centre this past May 9th. [embedyt] https://www.youtube.com/watch?v=-TKZ-JZfAzE[/embedyt]
- [Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions](https://duckietown.com/learning-autonomous-systems-an-interdisciplinary-project-based-experience-2/) - Title: Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions Authors: Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How Published in IROS 2017. Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions This paper presents a data-driven approach for multi-robot coordination in partially-observable domains based on Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs)
- [August 6-8, 2018: Duckietown Summer School, Taiwan](https://duckietown.com/august-6-8-2018-duckietown-summer-school-taiwan/) - The second edition of the Duckietown Summer School will take place August 6-8 in Taiwan.
- [Dec 7, 2018: AI Driving Olympics at NIPS 2018](https://duckietown.com/dec-7-2018-ai-driving-olympics-at-nips-2018/)
- [May 2019: AI Driving Olympics at ICRA 2019](https://duckietown.com/may-2019-ai-driving-olympics-at-icra-2019/)
- [Towards blockchain-based robonomics: autonomous agents behavior validation](https://duckietown.com/learning-autonomous-systems-an-interdisciplinary-project-based-experience-3/) - Title: Towards blockchain-based robonomics: autonomous agents behavior validation Authors: Konstantin Danilov, Ruslan Rezin, Alexander Kolotov, Ilya Afanasyev Published on arXiv on May 8, 2018 Towards blockchain-based robonomics: autonomous agents behavior validation The decentralized trading market approach, where both autonomous agents and people can consume and produce services expanding own opportunities to reach goals, looks very promising as a
- [Hybrid control and learning with coresets for autonomous vehicles](https://duckietown.com/learning-autonomous-systems-an-interdisciplinary-project-based-experience-4/) - Title: Hybrid control and learning with coresets for autonomous vehicles Guy Rosman, Liam Paull, and Daniela Rus Published in IROS 2017 Hybrid control and learning with coresets for autonomous vehicles Modern autonomous systems such as driverless vehicles need to safely operate in a wide range of conditions. A potential solution is to employ a hybrid
- [Integration of open source platform Duckietown and gesture recognition as an interactive interface for the museum robotic guide](https://duckietown.com/learning-autonomous-systems-an-interdisciplinary-project-based-experience-5/) - Title: Integration of open source platform Duckietown and gesture recognition as an interactive interface for the museum robotic guide Authors: Feng-Ching Cheng, Zi-Yu Wang, and Jee-Jee Chen Published in 2018 Wireless and Optical Communication Conference Integration of open source platform Duckietown and gesture recognition as an interactive interface for the museum robotic guide In recent
- [Deep Trail-Following Robotic Guide Dog in Pedestrian Environments for People who are Blind and Visually Impaired - Learning from Virtual and Real Worlds](https://duckietown.com/learning-autonomous-systems-an-interdisciplinary-project-based-experience-7/) - Title: Deep Trail-Following Robotic Guide Dog in Pedestrian Environments for People who are Blind and Visually Impaired - Learning from Virtual and Real Worlds Authors: Tzu-Kuan Chuang, Ni-Ching Lin, Jih-Shi Chen, Chen-Hao Hung, Yi-Wei Huang, Chunchih Teng, Haikun Huang, Lap-Fai Yu, Laura Giarre, and Hsueh-Cheng Wang Published in ICRA 2018 Deep Trail-Following Robotic Guide Dog
- [Learning autonomous systems — An interdisciplinary project-based experience](https://duckietown.com/learning-autonomous-systems-an-interdisciplinary-project-based-experience/) - Title: Learning autonomous systems — An interdisciplinary project-based experience Authors: Brian Page, Saeedeh Ziaeefard, Barzin Moridian, Nina Mahmoudian Published: 2017 IEEE Frontiers in Education Conference Learning autonomous systems — An interdisciplinary project-based experience With the increased influence of automation into every part of our lives, tomorrow’s engineers must be capable working with autonomous systems. The
- [Duckietown: An open, inexpensive and flexible platform for autonomy education and research](https://duckietown.com/duckietown-an-open-inexpensive-and-flexible-platform-for-autonomy-education-and-research/) - Title: Duckietown: An open, inexpensive and flexible platform for autonomy education and research Authors: Liam Paull; Jacopo Tani; Heejin Ahn; Javier Alonso-Mora; Luca Carlone; Michal Cap; Yu Fan Chen; Changhyun Choi; Jeff Dusek; Yajun Fang; Daniel Hoehener; Shih-Yuan Liu; Michael Novitzky; Igor Franzoni Okuyama; Jason Pazis; Guy Rosman; Valerio Varricchio; Hsueh-Cheng Wang; Dmitry Yershov; Hang
- [Swiss TV interviews ETH Zurich instructors](https://duckietown.com/swiss-tv-intervies-eth-zurich-instructors/) - An Italian interview to the Zürich students and instructors in the occasion of Demo Day 2017.
- [Die AI-Fahrolympiade auf der NIPS 2018](https://duckietown.com/die-ai-fahrolympiade-auf-der-nips-2018/) - Autoren: Andrea Censi Liam Paull, Jacopo Tani, Julian Zilly, Thomas Ackermann, Oscar Beijbom, Berabi Berkai, Gianmarco Bernasconi, Anne Kirsten Bowser, Simon Bing, Pin-Wei David Chen, Yu-Chen Chen, Maxime Chevalier-Boisvert, Breandan Considine, Andrea Daniele, Justin De Castri, Maurilio Di Cicco, Manfred Diaz, Paul Aurel Diederichs, Florian Golemo, Ruslan Hristov, Lily Hsu, Yi-Wei Daniel Huang, Chen-Hao Peter
- [Las Olimpiadas AI Driving en NIPS 2018](https://duckietown.com/las-olimpiadas-ai-driving-en-nips-2018/) - Autores: Andrea Censi Liam Paull, Jacopo Tani, Julian Zilly, Thomas Ackermann, Oscar Beijbom, Berabi Berkai, Gianmarco Bernasconi, Anne Kirsten Bowser, Simon Bing, Pin-Wei David Chen, Yu-Chen Chen, Maxime Chevalier-Boisvert, Breandan Considine, Andrea Daniele, Justin De Castri, Maurilio Di Cicco, Manfred Diaz, Paul Aurel Diederichs, Florian Golemo, Ruslan Hristov, Lily Hsu, Yi-Wei Daniel Huang, Chen-Hao Peter
- [Driving autonomy education at BFH with Prof. Affolter](https://duckietown.com/driving-autonomy-education-with-peter-affolter/) - Bern, Switzerland: Prof. Peter Affolter at Berner Fachhochschule (BFH), shares his experience creating a curriculum in autonomy education with Duckietown.
- [Problems with local evaluator (dts challenges evaluate)](https://duckietown.com/problems-with-local-evaluator-dts-challenges-evaluate/) - We have reports of problems with the dts challenges evaluate command (local evaluator). This is a tricky command because it spawns a Docker container that spawns other Docker containers etc. A workaround is described at here and it involves running the native Python code for the evaluator.
- [Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks](https://duckietown.com/interactive-learning-with-corrective-feedback-for-policies-based-on-deep-neural-networks/) - Title: Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks Authors: Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober Published: International Symposium on Experimental Robotics (ISER 2018) Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks Deep Reinforcement Learning (DRL) has become a powerful strategy tosolve complex decision making problems based on
- [Updated Duckietown-challenges server fixes speed problems; updated "dts commands evaluate"](https://duckietown.com/updated-duckietown-challenges-server-fixes-speed-problems-updated-dts-commands-evaluate/) - As we have more participants, the Duckietown Challenges Server started to feel slow. The reason: we were a bit lazy and some pages had O(n) implementations where O(1) was needed - loading all challenges/submissions/etc. We also updated the "dts challenges evaluate" command to be more robust. Please continue to report bugs as this part is
- [Server capacity increased; leaderboards logic updated.](https://duckietown.com/server-capacity-increased-leaderboards-logic-updated/) - We increased the server capacity. This should mitigate the slowness issues due to the unexpected number of participants/submissions. We updated the logic of how we compute the leaderboard; now there can be only one submission per user.
- [Update to challenge LF, LFV evaluation code](https://duckietown.com/update-to-challenge-lf-lfv-evaluation-code/) - We are going to roll out an improvement to the LF and LFV challenges competitions. This change fixes the following problems: The robot will always start in the right lane - a legal position. The evaluation and visualization code are going to be richer, with more statistics plotted (example). The evaluation rulebook is slightly changed
- [AI-DO1 Submission Deadline: Thursday Dec 6 at 11:59pm PST](https://duckietown.com/ai-do1-submission-deadline-thursday-dec-6-at-1159pm-pst/) - We're just about at the end of the road for the 2018 AI Driving Olympics. There's certainly been some action on the leaderboard these last few days and it's going down to the wire. Don't miss your chance to see you name up there and win the amazing prizes donated by nuTonomy and Amazon AWS!
- [AI-DO 1 at NeurIPS report. Congratulations to our winners!](https://duckietown.com/ai-do-at-neurips-is-over-congratulations-to-our-winners/) - The winners of AIDO-1 at NeurIPS There was a great turnout for the first AI Driving Olympics competition, which took place at the NeurIPS conference in Montreal, Canada on Dec 8, 2018. In the finals, the submissions from the top five competitors were run from five different locations on the competition track. Our top five
- [Countdown to AI-DO 2!](https://duckietown.com/countdown-to-ai-do-2/) - Didn't get a chance to compete in the AI Driving Olympics at NeurIPS this past December? Not to worry! The second iteration of the AI-DO will take place at ICRA this May. Get your engines and algorithms up and running by checking out the information on the AI-DO website.
- [Press Release AI-DO2](https://duckietown.com/press-release-ai-do2/) - [pdfviewer width="600px" height="849px" beta="false"]https://www.duckietown.com/wp-content/uploads/2019/04/AIDO2-Press-release-EN.pdf[/pdfviewer]
- [AI-DO technical updates](https://duckietown.com/ai-do-technical-updates/) - Here are some technical updates regarding the competition. Thanks for all the bug reports via Github and Slack! Changes to platform model in simulations We have changed the purely kinematic model in the simulations with one that is more similar to the real robots obtained by system identification. You can find the model here. Properties:
- [AI-DO 2 Validation and Testing Registration](https://duckietown.com/ai-do-2-validation-and-testing-registration/) - We are in the final countdown to AI-DO 2 at ICRA! Now is the time to let us know if you will be using the validation and testing facilities at the Duckietown competition ground. Please register below! [ninja_form id=27]
- [Update to Dynamics Model in Duckietown Simulator](https://duckietown.com/update-to-dynamics-model-in-duckietown-simulator/) - We have implemented an improved dynamics model in the simulator. If you are using the simulator to: Train your agent with reinforcement learning Generate data for imitation learning Test and debug your submission then you may want to retrain/retest with the new dynamics model. This model is much closer to the true Duckiebot and should
- [AI-DO Robotarium Evaluations Underway](https://duckietown.com/ai-do-robotarium-evaluations-underway/) - Autolab evaluations underway We have started evaluating the submissions in our Duckietown “Robotarium” (aka Autolab): Duckiebot onboard camera feed Robotarium watchtower camera feed To queue your submissions for robotarium evaluation, please follow these instructions: You need to use the –challenge option to specify 3 challenges: the two simulated ones (testing and validation) and the hardware
- [Congratulations to the winners of the second edition of the AI Driving Olympics!](https://duckietown.com/congratulations-to-the-winners-of-the-second-edition-of-the-ai-driving-olympics/) - Team JetBrains came out on top on all 3 challenges It was a busy (and squeaky) few days at the International Conference on Robotics and Automation in Montreal for the organizers and competitors of the AI Driving Olympics. The finals were kicked off by a semifinals round, where we the top 5 submissions from the Lane
- [Duckietown Workshop at RoboCup Junior](https://duckietown.com/duckietown-workshop-at-robocup-junior/) - Duckietown Workshop at RoboCup Junior 2019 In collaboration with the RoboCup Federation, the Duckietown Foundation will be offering workshops at RoboCup 2019 in Sydney, Australia, providing a hands-on introduction to the Duckietown platform. We will be hosting three one-day workshops as part of RoboCup 2019 from July 4-6, 2019 for teachers, students, and independent learners
- [Press Release AI-DO 3](https://duckietown.com/press-release-ai-do2-2/) - [pdfviewer width="600px" height="849px" beta="false"]https://www.duckietown.com/wp-content/uploads/2019/10/AIDO3-Press-release-EN.pdf[/pdfviewer]
- [Round 3 of the the AI Driving Olympics is underway!](https://duckietown.com/round-2-of-the-the-ai-driving-olympics-is-underway-2/) - The AI Driving Olympics (AI-DO) is back! We are excited to announce the launch of the AI-DO 3, which will culminate in a live competition event to be held at NeurIPS this Dec. 13-14. The AI-DO is a global robotics competition that comprises a series of events based on autonomous driving. This year there are three
- [AI-DO 3 - Urban Event Winners](https://duckietown.com/ai-do-3-urban-event-winners/) - In case you missed it AI-DO 3 has come and gone. Interested in reliving the competition? Here’s the video. We had a great time at NeurIPS hosting the Third Edition of the AI Driving Olympics. As usual the sound of Duckies attracted an engaging and supportive crowd. Racing Event The competition began with the Racing
- [Community Spotlight: Arian Houshmand  – Control Algorithms for Traffic](https://duckietown.com/community-spotlight-arian-houshmand-control-algorithms-for-traffic/) - Boston University, March 7, 2019: No one likes sitting in traffic: it is a waste of time and damaging to the environment. Thankfully researcher Arian Houshmand from Boston University CODES lab is on the case, and he’s using Duckietown to help solve the problem. Quick links Boston University Boston University CODES lab Arian Houshmand Control
- [Learn robotics from the comfort of your home with Duckietown](https://duckietown.com/stay-at-home-and-distanced-learning/) - These are difficult times for us all. With physical distancing directives issued across the globe and many people restricted to their homes, we want to reach out (virtually) and offer our support. To help you beat the isolation blues, the Duckietown Foundation is contributing $100 towards the next 100 orders of Duckiebots, Starter Kits, and
- [Duckietown and NVIDIA work together for accessible AI and robotics education: Meet the NVIDIA powered Duckiebot](https://duckietown.com/duckietown-and-nvidia-work-together-for-accessible-ai-and-robotics-education-meet-the-nvidia-powered-duckiebot/) - Duckietown and NVIDIA partnership for accessible AI and robotics education NVIDIA GTC, October 6, 2020: Duckietown and NVIDIA align efforts to push the boundaries of accessible, state-of-the-art higher-education in robotics and AI. The tangible outcome is a brand new “Founder’s edition” Duckiebot, which will be broadly available from January 2021, powered by the new NVIDIA
- [Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World](https://duckietown.com/duckietown-and-nvidia-work-together-for-accessible-ai-and-robotics-education-meet-the-nvidia-powered-duckiebot-2-3/) - Title: Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World - IEEE Conference Publication Authors: Péter Almási, Róbert Moni, Bálint Gyires-Tóth Published: 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-8, doi: 10.1109/IJCNN48605.2020.9207497 Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World We asked Róbert Moni
- [The Workshop on Benchmarking Progress in Autonomous Driving at IROS 2020](https://duckietown.com/duckietown-and-nvidia-work-together-for-accessible-ai-and-robotics-education-meet-the-nvidia-powered-duckiebot-3/) - The IROS 2020 Workshop on Benchmarking Autonomous Driving Duckietown has also a science mission: to help develop technologies for reproducible benchmarking in robotics. The IROS 2020 Workshop on Benchmarking Autonomous Driving provides a platform to investigate and discuss the methods by which progress in autonomous driving is evaluated, benchmarked, and verified. It is free to attend. The
- [IROS2020: Watch The Workshop on Benchmarking Progress in Autonomous Driving](https://duckietown.com/iros2020-watch-the-workshop-on-benchmarking-progress-in-autonomous-driving/) - What a start for IROS 2020 with the "Benchmarking Progress in Autonomous Driving" workshop! The 2020 edition of the International Conference on Intelligent Robots and Systems (IROS) started great with the workshop on “Benchmarking Progress in Autonomous Driving”. The workshop was held virtually on October 25th, 2020, using an engaging and concise format of a sequence
- [Join the AI Driving Olympics, 5th edition, starting now!](https://duckietown.com/join-the-ai-driving-olympics-5th-edition-starting-now/) - Compete in the 5th AI Driving Olympics (AI-DO) The 5th edition of the Artificial Intelligence Driving Olympics (AI-DO 5) has officially started! The AI-DO serves to benchmark the state of the art of artificial intelligence in autonomous driving by providing standardized simulation and hardware environments for tasks related to multi-sensory perception and embodied AI. Duckietown
- [The "Self-Driving cars with Duckietown" Massive Open Online Course on edX](https://duckietown.com/the-self-driving-cars-with-duckietown-hands-on-massive-open-online-course-on-edx/) - "Self-Driving Cars with Duckietown" hands-on MOOC on edX We are launching a massive open online course (MOOC): “Self-Driving Cars with Duckietown” on edX, and it is free to attend! This course is made possible thanks to the support of the Swiss Federal Institute of Technology in Zurich (ETHZ), in collaboration with the University of Montreal, the Duckietown
- [Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously](https://duckietown.com/imitation-learning-approach-for-ai-driving-olympics-trained-on-real-world-and-simulation-data-simultaneously/) - Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman Workshop on AI for Autonomous Driving (AIAD), the 37th International Conference on Machine Learning, Vienna, Austria, 2020 ArXiv version download: arXiv:2007.03514 Find code here Imitation Learning Approach for AI Driving Olympics Trained on
- [AI-DO 5 competition Update](https://duckietown.com/ai-do-update/) - AI-DO 5 Update AI-DO 5 is in full swing and we want to bring you some updates: better graphics, more maps, faster and more reliable backend and an improved GUI to submit to challenges! Challenges visualization We updated the visualization. Now the evaluation produces videos with your name and evaluation number (as below). Challenges updates
- [AI-DO 5 competition leaderboard update](https://duckietown.com/ai-do-5-leaderboard-update/) - AI-DO 5 pre-finals update With the fifth edition of the AI Driving Olympics finals day approaching, 1326 solutions submitted from 94 competitors in three challenges, it is time to glance over at the leaderboards! Leaderboards updates This year’s challenges are lane following (LF), lane following with pedestrians (LFP) and lane following with other vehicles, multibody
- [AI Driving Olympics 5th edition: results](https://duckietown.com/ai-do-5-leaderboard-update-2-2/) - AI-DO 5: Urban league winners This year’s challenges were lane following (LF), lane following with pedestrians (LFP) and lane following with other vehicles, multibody (LFV_multi). Let’s find out the results in each category: LF Andras Beres 🇭🇺 Zoltan Lorincz 🇭🇺 András Kalapos 🇭🇺 LFP Bea Baselines 🐤 Melisande Teng 🇨🇦 Raphael Jean 🇨🇦 LFV_multi Robert Moni 🇭🇺 Márton
- [“Self-Driving Cars with Duckietown” MOOC starting soon](https://duckietown.com/self-driving-cars-with-duckietown-2020-mooc-starting-soon/) - Join the first hardware based MOOC about autonomy on edX! Are you curious about robotics, self-driving cars, and want an opportunity to build and program your own? Set to start on March 22nd, 2020, “Self-Driving Cars with Duckietown” is a hands-on introduction to vehicle autonomy, and the first ever self-driving cars MOOC with a hardware
- [EdTech awards 2021: Duckietown finalist in 3 categories!](https://duckietown.com/edtech-2021-duckietown-finalist-in-3-categories/) - Duckietown reaches the finals in the EdTech Awards 2021 The EdTech awards are the largest and most competitive recognition program in all of education technology. The competition, led by the EdTech digest, recognizes the biggest names in edtech – and those who soon will be, by identifying all over the world the products, services and people
- [Embedded out-of-distribution detection on an autonomous robot platform](https://duckietown.com/embedded-out-of-distribution-detection-on-an-autonomous-robot-platform/) - Embedded out-of-distribution detection on an autonomous robot platform Embedded out-of-distribution detection on an autonomous robot platform Michael Yuhas, Yeli Feng, Daniel Jun Xian Ng, Zahra Rahiminasab, Arvind Easwa M ran Design Automation for CPS and IoT (DESTION 2021) Workshop ACM Digital Library Code available here Data available here Introduction Machine learning is becoming more and more common
- [Automatic Wheels and Camera Calibration for Monocular and Differential Mobile Robots](https://duckietown.com/automatic-wheels-and-camera-calibration-for-monocular-and-differential-mobile-robots/) - Automatic Wheels and Camera Calibration for Monocular and Differential Mobile Robots Konstantin Chaika, Anton Filatov, Artyom Filatov, Kirill Krinkin Applied Sciences 11, no. 13: 5806. Automatic Wheels and Camera Calibration for Monocular and Differential Mobile Robots After assembling the robot, components such as the camera and wheels need to be calibrated. This requires human participation
- [Join the AI Driving Olympics, 6th edition, starting now!](https://duckietown.com/join-the-ai-driving-olympics-5th-edition-starting-now-2/) - The 2021 AI Driving Olympics Compete in the 2021 edition of the Artificial Intelligence Driving Olympics (AI-DO 6)! The AI-DO serves to benchmark the state of the art of artificial intelligence in autonomous driving by providing standardized simulation and hardware environments for tasks related to multi-sensory perception and embodied AI. Duckietown traditionally hosts AI-DO competitions
- [AI Driving Olympics 2021: Urban League Finalists](https://duckietown.com/ai-do-5-leaderboard-update-2-2-2/) - AI Driving Olympics 2021 - Urban League Finalists This year’s embodied urban league challenges were lane following (LF), lane following with vehicles (LFV) and lane following with intersections, (LFI). To account for differences between the real world and simulation, this edition finalists can make one additional submission to the real challenges to improve their scores. Finalists
- [Learning Autonomy with Vincenzo Polizzi](https://duckietown.com/learning-autonomy-in-practice-with-vincenzo-polizzi/) - ETHZ, Zurich, March 11, 2022: How Vincenzo discovered his true professional passion as a student using Duckietown. Learning Autonomy in practice with Vincenzo Polizzi Vincenzo Polizzi studied robotics, systems and control at the Swiss Federal institute of Technology (ETH Zurich). Vincenzo shares below his experience with Duckietown. Starting off as a student, becoming a Teaching
- [When rubber duckies meet the road: an interview with Prof. Liam Paull](https://duckietown.com/when-rubber-duckies-meet-the-road-an-interview-with-prof-liam-paull/) - UdM, Montréal, May 5, 2022: Liam Paull, professor at the University of Montreal and one of Duckietown’s founders, talks about his role and experiences with Duckietown. When rubber duckies meet the road: an interview with Prof. Liam Paull Liam Paull, professor at the University of Montreal in Quebec, and one of the very founders of Duckietown,
- [Join the new “Self-Driving Cars with Duckietown” MOOC](https://duckietown.com/self-driving-cars-with-duckietown-mooc-starting-soon-2/) - Join the self-driving cars with Duckietown MOOC user-paced edition Over 7200 learners engaged in a robotics and AI learning adventure with “Self-Driving Cars with Duckietown”, the first massive online open course (MOOC) on robot autonomy with hardware, hosted on the edX platform. Kicking off on November 29th, this new edition is a user-paced course with rich
- [Introduction to robotics at the University of Massachusetts Lowell using Duckietown](https://duckietown.com/introduction-to-robotics-at-the-university-of-massachusetts-lowell-using-duckietown/) - University of Massachusetts, Lowell, December 20, 2022: Paul Robinette, Assistant Professor at the University of Massachusetts Lowell (UML), shares with us his Duckietown teaching experience. Introduction to robotics at the University of Massachusetts Lowell using Duckietown Paul Robinette is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Lowell. He
- [Shima Akbari graduates with Duckietown at La Sapienza University in Rome](https://duckietown.com/shima-akbari-graduates-with-duckietown-at-la-sapienza-university-in-rome/) - “La Sapienza” University of Rome, April 28, 2023: Shima Akbari, a Ph.D. student at the Italian National Program in Autonomous Systems, shares her experience working with Duckietown for her master’s thesis on lane following control for mobile robots. Quick links Sapienza University of Rome Italian National Program in Autonomous Systems Shima Akbari LinkedIn Shima's work
- [Robotics education and research at IIT Jodhpur: an interview with Prof. Debasis Das](https://duckietown.com/people-of-duckietown-iit-jodhpur-debasis-das/) - IIT Jodhpur, June 03, 2023: Prof. Debasis Das of IIT Jodhpur, Rajasthan, India, tells us about his experience in bringing Duckietown to his lab to support the teaching, research, and outreach efforts of his team in the fields of autonomous vehicles, robotics, computer vision, machine learning. Quick links IIT Jodhpur VANET@IITJ Lab Prof. Debasis Das
- [How Duckietown set "Frank" Chude Qian on the path to autonomous vehicles](https://duckietown.com/how-discovering-duckietown-set-frank-chude-qian-on-the-path-to-autonomous-vehicles/) - University of Toronto, February 3, 2022: “Frank” Chude Qian, A Master Student at the University of Toronto, shares with us his experience with Duckietown. Quick links University of Toronto The University Of Toronto Self-Driving Car Team "Frank" Chude Qian How Duckietown set Chude (Frank) Qian on the road to autonomous vehicles “Frank” Chude Qian is
- [Announcing the AI Driving Olympics (AI-DO)](https://duckietown.com/announcing-the-ai-driving-olympics/) - Press release The Duckietown Foundation is excited to announce the official opening of the The AI Driving Olympics, a new competition focused around AI for self-driving cars. The first edition of the AI Driving Olympics 2018 will take place in December 2018, at NIPS, the premiere machine learning conference, in Montréal. This is the first competition
- [Duckietown in Ghana – Teaching robotics to brilliant students](https://duckietown.com/duckietown-in-ghana/) - July 2018: Vincent Mai travels from Canada to teach a 2-week Duckietown class to some of the brightest high school students in Ghana.

## Pages

- [Duckietown: learning robotics and AI like the best professionals](https://duckietown.com/) - Learning Robotics and AI is hard. Duckietown democratizes access to the science and technology of autonomous vehicles with resources for teachers and learners.
- [The Impact of Autonomous Drone Technology](https://duckietown.com/the-impact-of-autonomous-drone-technology/) - Autonomous drone technology is maturing rapidly, driven by applications in diverse industries, from agriculture to safety and security.
- [Pricing: Duckietown software licenses](https://duckietown.com/pricing/) - Duckietown pricing depends on the intended use. Find your tailored solution for teaching and learning state-of-the-art AI robotics now.
- [Best Robotics and AI Projects](https://duckietown.com/best-robotics-and-ai-projects-for-learning-autonomy/) - Dive into our robotics and AI projects collection for Duckietown, ideal for student groups in higher-education classrooms as well as independent learners.
- [Self-Driving Cars with Duckietown: learn the technology of autonomous vehicles](https://duckietown.com/self-driving-cars-with-duckietown-mooc/) - Join the world’s first AI robotics massive open online course with hardware brought to you by ETHZ, UdM, TTIC, and Duckietown. Learn from anywhere, for free.
- [Educational resources: teach and learn robotics and AI from here](https://duckietown.com/educational-resources/) - Used by 200+ universities worldwide, we offer educational resources for teaching robot autonomy in class: curricula, slides, videos, exercises, and more!
- [Access restrictions: regions not served by Duckietown now](https://duckietown.com/legal-policies/access-restrictions/) - Duckietown restricts access to certain regions to comply with international laws and regulations. This page explains affected locations and service limitations.
- [Software License](https://duckietown.com/legal-policies/software-license/) - Review the Duckietown software license governing use, distribution, and limitations of our software, firmware, and digital learning platform.
- [Privacy Policy](https://duckietown.com/legal-policies/privacy-policy/) - Duckietown privacy policy explaining how personal data is collected, processed, and protected, including user rights, cookies, and data handling practices.
- [Website accessibility statement](https://duckietown.com/legal-policies/website-accessibility-statement/) - Website accessibility statement Our Commitment to Accessibility At Duckietown, we believe access to our websites and digital offerings should be available to everyone. As a technology and education company working to shape the next generations of talent worldwide, we aim to make a positive impact in everything we do and to meet the highest standards
- [Legal Policies](https://duckietown.com/legal-policies/) - Review Duckietown legal policies, including terms and conditions, software license, privacy, accessibility, and platform access restrictions.
- [Guides for getting started with Duckietown](https://duckietown.com/guides/) - At the intersection of education and research, Duckietown is designed for instructors, researchers, and makademics. Find the guides for getting started here.
- [People of Duckietown: stories from learners worldwide](https://duckietown.com/news/people-of-duckietown/) - We love robots, but humans even more! The experience of the people working with, on, and around Duckietown is what matters most. Read their stories here.
- [Mission: a new vision for education](https://duckietown.com/mission/) - Our mission is to democratize access to the science and technology of robot autonomy. We carry out this mission by developing learning experiences that are accessible, engaging, and inclusive.
- [Build your Duckietown robots now with step-by-step instructions](https://duckietown.com/get-started/) - First steps in Duckietown: get started building with instructions on how to assemble, initialize, and calibrate your Duckiebots, Duckietowns, and Duckiedrones.
- [Ducks and robots: why the Duckies in Duckietown](https://duckietown.com/ducks-and-robots/) - Learn why we use Duckies in Duckietown.
- [Start doing research with Duckietown: first steps for pros](https://duckietown.com/guides/start-researching/) - Join 200+ labs using Duckietown to push the boundaries of mobile robotics and smart mobility. Find the first steps to start doing research with Duckietown here.
- [Technology: a complete platform for learning robot autonomy](https://duckietown.com/platform/) - Duckietown is a modular robotics and AI platform with tightly integrated components, designed to provide joyful learning and teaching experiences.
- [Self driving cars, a technology that could change the world](https://duckietown.com/self-driving-cars-technology/) - Robot autonomy is changing the world, promising great long-term prosperity. What are self driving cars, and what impact can they have on our daily lives?
- [Start learning with Duckietown: first steps for makademics](https://duckietown.com/guides/start-learning/) - Duckietown is a platform for teaching, learning, and doing research in robotics and AI. If you are a student, start learning with Duckietown here!
- [Get a Duckietown quote](https://duckietown.com/request-quote/) - To request a Duckietown quote, get in touch with us through this form or via email at sales@duckietown.com. This formal quote can be used for purchase orders.
- [Start teaching with Duckietown: first steps for instructors](https://duckietown.com/guides/start-teaching-with-duckietown/) - Join 200+ universities using Duckietown to teach the science and technology of robot autonomy. Find the first steps to start teaching with Duckietown here.
- [Robotics and AI research with Duckietown](https://duckietown.com/research-papers/) - Get 80% of the science of autonomous vehicles with 1% of the cost. Duckietown is an accessible setup for reproducible mobile robotics research.
- [Contact information: reach out to us](https://duckietown.com/contact/) - Contact the Duckietown team via Slack or email. Join the Duckietown community for technical support and sign up for the newsletter to stay current!
- [Duckietown Terms and Conditions](https://duckietown.com/legal-policies/terms-and-conditions/) - Duckietown’s terms and conditions explain the rules for using our products, software, services, and subscriptions, including payment and cancellation terms.
- [Mission: democratizing robot autonomy](https://duckietown.com/mission-content/) - Our mission is to make the world a better place by democratizing access to the science and technology of robot autonomy with pedagogical approaches.
- [AI-DO: the AI Driving Olympics](https://duckietown.com/research/ai-driving-olympics/) - The AI Driving Olympics (AI-DO) The AI-DO are a set of competitions with the objective of evaluating the state of the art for ML/AI for embodied intelligence (can AI actually DO anything?). Overview Duckietown has been hosting the AI-DO competition finals twice per year, at ICRA (International Conference on Robotics and Automation) and NeurIPS (Neural Information Processing Systems
- [Instagram Link Tree: explore the Duckietown world](https://duckietown.com/instagram-quick-links/) - Welcome to Duckietown, the platform for learning professional robotics and AI! Find relevant resources in this Instagram quick links summary page.
- [Request information](https://duckietown.com/request-information/) - For all questions, doubts or curiosities regarding Duckietown, its products & services, do not hesitate to reach out through this form and request information.
- [Join the team](https://duckietown.com/join-the-team/) - Duckietown is a dynamic startup company serving universities, companies, and learners worldwide. We are always looking for talents to join the team, apply now!
- [A brief history of Duckietown](https://duckietown.com/history/) - Learn about Duckietown's history

## My Templates

- [Post template](https://duckietown.com/?elementor_library=elementor-single-post-103312) - Post template Post template If you liked this, you may also enjoy The DB21v3-J Duckiebot upgrade kit increases Duckiebot lifespan, enhances compatibility with different Jetson Nano 4GB development kits, improves driving performance, and reduces chassis assembly time. Upgrading your Duckiebot from DB21-M or -J to DB21-Jv3 Building on the experience and feedback from users worldwide,
- [dt-page-mooc](https://duckietown.com/?elementor_library=dt-page-mooc-2) - Enroll now Self-Driving Cars with Duckietown Massive Open Online Course (MOOC) Self-Driving Cars with Duckietown is the world’s first hardware-based massive open online course (MOOC) in AI robotics. Created in collaboration with ETH Zürich, the University of Montreal, and the Toyota Technological Institute at Chicago (TTIC), Self-Driving Cars with Duckietown is free to enroll in.
- [Page - Legal Policies](https://duckietown.com/?elementor_library=elementor-single-page-112506) - Page – Legal Policies Duckietown Software Licensing Terms
- [Imported Kit](https://duckietown.com/?elementor_library=imported-kit)
- [Elementor Loop Item #112446](https://duckietown.com/?elementor_library=elementor-loop-item-112446) - Elementor Loop Item #112446
- [University Courses](https://duckietown.com/?elementor_library=university-courses) - University Courses Course Overview Course Name: Course Level: University Instructor Course Webpage Learn more Duckietown is a modular, customizable, and state-of-the-art platform for creating and disseminating robotics and AI learning experiences. Duckietown is designed to teach, learn, and do research: from exploring the fundamentals of computer science and automation to pushing the boundaries of knowledge. These spotlight
- [dt_footer](https://duckietown.com/?elementor_library=dt_footer) - Content area
- [User Logos (PoD, Research and Projects)](https://duckietown.com/?elementor_library=user-logos-pod-research-and-projects)
- [new_dt_header_1](https://duckietown.com/?elementor_library=new_dt_header_1) - Content area
- [Social Validation](https://duckietown.com/?elementor_library=social-validation) - Teaching the Duckietown class was a wonderful experience for me and my students. The materials are great and the hands-on experience with the robot really helps reinforce the curriculum. Toyota Technological Institute at Chicago Starting from MIT CSAIL, Duckietown has grown into a global initiative that is inspiring students around the world to learn about
- [DBSCAN](https://duckietown.com/?elementor_library=dbscan) - DBSCAN Project Resources Objective: Enable Duckiebots to navigate intersections safely, smoothly and efficiently. Approach: Using the DBSCAN (A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise) algorithm to detect stoplines and guide Duckiebots along precomputed optimal trajectories. Authors: Christian Leopoldseder, Matthias Wieland, Sebastian Seb Giles, Merlin Hosner, Amaury Camus. Final Result Code
- [Slide buttons (1)](https://duckietown.com/?elementor_library=slide-buttons-1) - Get Started
- [Student Projects template - 2024-04](https://duckietown.com/?elementor_library=student-projects-2024-04) - back to all Student Projects template – 2024-04 April 26, 2024 Student Projects template – 2024-04 back to all Related Articles The DB21v3-J Duckiebot upgrade kit increases Duckiebot lifespan, enhances compatibility with different Jetson Nano 4GB development kits, improves driving performance, and reduces chassis assembly time. Upgrading your Duckiebot from DB21-M or -J to DB21-Jv3
- [Elementor Loop Item #103802](https://duckietown.com/?elementor_library=elementor-loop-item-2)
- [dt-page-home](https://duckietown.com/?elementor_library=dt-page-home) - State-of-the-art robotics and AI made tangible, accessible, and fun! State-of-the-art robotics and AI made tangible, accessible, and fun! 🏁 Get Started 🛒 Buy Hardware 📚 Learn More Get Started Learn More Get Hardware Learning autonomy: robotics and AI Originating at MIT, Duckietown is a platform for delivering cutting-edge robotics and AI learning experiences. We offer teaching resources to instructors, hands-on
- [Event Template](https://duckietown.com/?elementor_library=event-template-2) - City, Date: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam laoreet, enim rhoncus ultrices feugiat, ex nulla feugiat augue, eu lacinia sapien purus in velit. Curabitur dictum facilisis mi, eget mollis urna congue nec. Aenean vel massa nunc. Nulla vehicula, ex eget dignissim consequat, augue urna tempor odio, sit amet accumsan turpis lacus eget
- [Science Paper Template](https://duckietown.com/?elementor_library=science-paper-template) - Title: xxxxx (with link to the actual paper) Authors: XXXX, XXXX, XXXX Published: XXXX, XXXX, XXXX Paper Title Insert here the abstract – Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut aliquet congue lacus in finibus. Interdum et malesuada fames ac ante ipsum primis in faucibus. Etiam placerat enim ut dui laoreet sagittis. Vestibulum
- [POD Campaign](https://duckietown.com/?elementor_library=pod-campaign) - City, Date: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer efficitur ex id felis efficitur, id volutpat leo feugiat. Suspendisse tincidunt sed orci vitae City, Date: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer efficitur ex id felis efficitur, id volutpat leo feugiat. Suspendisse tincidunt sed orci vitae venenatis. Donec nibh nunc, interdum
- [Elementor Loop Item #101628](https://duckietown.com/?elementor_library=elementor-loop-item)
- [nips challenges](https://duckietown.com/?elementor_library=nips-challenges-2) - The challenge Lane following on a closed course with static obstacles (cones and parked vehicles). The robot will be placed on a conforming closed track (with no intersections) and should follow the trackon the right-hand lane. Lane following on a continuous closed course, with static obstacles plus dynamic vehi- cles controlled “by the matrix” sharing
- [Q4 – Left Text Right Video](https://duckietown.com/?elementor_library=q4-left-text-right-video-2) - If you feel lost, disappointed, hesitant, or weak, return to yourself, to who you are, here and now and when you get there, you will discover yourself, like a lotus flower in full bloom, even in a muddy pond, beautiful and strong. Masaru Emoto
- [Section About](https://duckietown.com/?elementor_library=section-about-2) - This is the Duckietown core team, a group of volunteers that make Duckietown run. Operations Lead: Liam Paul Contact Liam for anything regarding coordination, dissemination, fundraising, promotion. Technical lead: Andrea Censi Pedagogy Lead: [open] Makes a case for Duckietown use; measured results, write pedagogy papers, etc. Community manager: Kirsten Bowser First line of contact; handling accounts, Slack,
- [what is duckietown background pic](https://duckietown.com/?elementor_library=what-is-duckietown-background-pic-2) - The Duckietown Project is an open-source and accessible robotics research and education platform. The most tangible goal of the project is to provide a low-cost educational “experience” for learning autonomy. Our platform consists of the “Duckiebots”, simple autonomous robots, and the “Duckietowns”, the infrastructure in which the Duckiebots navigates. In addition to the hardware and software, we build a set
- [3 pictures about](https://duckietown.com/?elementor_library=3-pictures-about-2) - EDUCATION Open-source course materials and documentation with inexpensive harware RESEARCH Complex and realistic challenges with accessible materials OUTREACH Flexible, friendly, and fun platform with age and skill appropriate lessons and appeal
- [sponsors nips](https://duckietown.com/?elementor_library=sponsors-nips-2) - Our Sponsors Driving technology forward
- [duck header 1](https://duckietown.com/?elementor_library=duck-header-1-2) - Content area
- [Community](https://duckietown.com/?elementor_library=community-2) - Want to be included? If you already have a Duckietown account send us an email. Otherwise, register as an Instructor on our website here. Want to be included? If you already have a Duckietown account send us an email. Otherwise, register as an Researcher who uses Duckietown here.
- [Q5 – Hero Image with Text and Features](https://duckietown.com/?elementor_library=q5-hero-image-with-text-and-features-2) - Design is an opportunity We want to create something that does more than just look nice on a page. How are the creative stories of the future going to look like? Photographer The photo occurs in a broader scope than the snap of the camera. It starts with the first glance of attention Video Art We
- [login](https://duckietown.com/?elementor_library=login-2) - Username or Email Address Password Remember Me Log In Lost your password?
- [dt history text](https://duckietown.com/?elementor_library=dt-history-text-2) - Duckietown is a robotics educations and outreach effort The project started as a graduate class in 2016; as of 2017, about 20 other universities have used the materials produced, as well as hundreds of self-guided learners. Current status of the project Duckietown has graduated from being one class to an international initiative. We are in
- [G1 – Call To Action](https://duckietown.com/?elementor_library=g1-call-to-action-2) - Are you attending? Please RSVP Before April 1th I'll be there
- [news splash template](https://duckietown.com/?elementor_library=news-splash-template-2) - What's new? News DB21v3-J Duckiebot upgrade kit now available The DB21Jv3 Duckiebot upgrade kit improves the omnidirectional wheel, reduces assembly time and increases compatibility with a range of Jetson Nano kits. Read More » February 5, 2026 No Comments News Duckiebots now available pre-assembled and initialized Save time and start using your robot right out
- [J5 – Team Member Boxes with Contact](https://duckietown.com/?elementor_library=j5-team-member-boxes-with-contact-2) - Our Agents Tony Cardello General Manager I am text block. Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. 865-259-2467 865-321-7766 Tony@mail.com Barbara Case Business Agent I am text block. Click edit button to change this text. Lorem ipsum
- [get involved boxes splsh](https://duckietown.com/?elementor_library=get-involved-boxes-splsh-2) - Get involved Sign up! teach the class get a robot research projects Resources Q & A forum "duckuments" SOFTWARE
- [testimonial valeria ariele](https://duckietown.com/?elementor_library=testimonial-valeria-ariele-2) - testimonial Valeria Cagnina testimonial Arielle Cherie Paterson
- [video background title page](https://duckietown.com/?elementor_library=video-background-title-page-2) - an open source robotics education and research project
- [old about the team template](https://duckietown.com/?elementor_library=old-about-the-team-template-2) - Our TEAM Operations lead Liam Paull OPEN I’m in charge of anything regarding coordination of XXX, dissemination of non technical information, marketing and fundraising. Technical lead Andrea Censi OPEN Master of code. Pedagogy lead OPEN Makes a case for Duckietown use; measured results, write pedagogy papers, etc. Community manager Kirsten Bowser OPEN First line of
- [duckuments button](https://duckietown.com/?elementor_library=duckuments-button-2) - "duckuments"
- [forum button](https://duckietown.com/?elementor_library=forum-button-2) - Forums
- [Q&A button](https://duckietown.com/?elementor_library=qa-button-2) - Question & Answers
- [help us button job app form](https://duckietown.com/?elementor_library=help-us-button-job-app-form-2) - help us!
- [software button](https://duckietown.com/?elementor_library=software-button-2) - SOFTWARE
- [splash buttons](https://duckietown.com/?elementor_library=splash-buttons-2) - learn more what is duckietown? use the platform teach the class SOFTWARE get a robot research projects get help Question & Answers Forums "duckuments" support us be a partner be a sponsor make the project better/job board research projects
- [mission statement template](https://duckietown.com/?elementor_library=mission-statement-template-2) - The mission of Duckietown is to make the world excited about the beauty, the fun, the importance, and the challenges of robotics and artificial intelligence, through learning experiences that are tangible, accessible, and inclusive.
- [Get Started Blocks](https://duckietown.com/?elementor_library=get-started-blocks-2) - Help usDevelop Make the Project Better Teach the Class Get Started for Instructors Compete in the "AI-DO" Get Started for NIPS AI Driving Olympics Competitors Build a Robot Get Started for Students
- [Guide](https://duckietown.com/?elementor_library=guide-2) - Teach the class Offer. We provide a “class in a box” solution for teaching a graduate-level autonomy class. Benefits for you: One Two Three Testimonial MIT Next steps: To get started: Click here to sign up Read our Guide for instructors Duckiebook. Other instructions? FAQs Is it free? How many students can I have? Are
- [AI-DO navigation](https://duckietown.com/?elementor_library=ai-do-navigation-2) - AI-DO Timeline Organizers Challenges webinars AI-DO Timeline Organizers Challenges webinars
- [Top Header (Duckie left, My Duckietown right)](https://duckietown.com/?elementor_library=top-header-duckie-left-my-duckietown-right-2)
- [My Duckietown Nav menu](https://duckietown.com/?elementor_library=my-duckietown-nav-menu-2) - Login Register My profile Create content Logout Login Register My profile Create content Logout
- [dt story block4](https://duckietown.com/?elementor_library=dt-story-block4-2)
- [dt story block3](https://duckietown.com/?elementor_library=dt-story-block3-2) - Going Global After the 2016 class, many of the key organizers left MIT for other opportunities. In the meantime, all of the pieces of the experience (the slides, the demos, the platform, the software) were made openly available and other institutions began to take interest. The platform has since been used at several institutions around
- [dt story block2](https://duckietown.com/?elementor_library=dt-story-block2-2)
- [dt story block1](https://duckietown.com/?elementor_library=dt-story-block1-2) - The story of Duckietown The Duckietown project was conceived in 2016 as a graduate class at MIT. A group of over 15 Postdocs and 5 professors were involved in the initial development. The goal was to build a platform that was small-scale and cute yet still preserved the real scientific challenges inherent in a full-scale
- [mission block](https://duckietown.com/?elementor_library=mission-block-2) - The mission of Duckietown is to make the world excited about the beauty, the fun, the importance, and the challenges of robotics and artificial intelligence, through learning experiences that are tangible, accessible, and inclusive.
- [Open job posts](https://duckietown.com/?elementor_library=open-job-posts-2) - Open Volunteer Positions We are looking for individuals to help accomplish our mission. See below for the open volunteer positions. [ic_add_posts category=’job-post’]
- [Duckietown classes carousel](https://duckietown.com/?elementor_library=duckietown-classes-carousel-2)
- [AIDO - Organizers](https://duckietown.com/?elementor_library=aido-organizers-2) - Organizers
- [AIDO - The challenges](https://duckietown.com/?elementor_library=aido-the-challenges-2) - The Challenges Task: Lane Following Task: Lane Following with Dynamics Task: Navigation Task: Fleet Management
- [Top bar with quick advice and language bar](https://duckietown.com/?elementor_library=top-bar-with-quick-advice-and-language-bar-2) - Please pardon our dust as we refresh our website. [wpml_language_selector_widget]
- [upcoming class](https://duckietown.com/?elementor_library=upcoming-class-2) - Institution UPCOMING CLASS! Class Name Semester and Year Professor John Doe Click edit button to change this text. Lorem ipsum dolor sit amet consectetur adipiscing elit dolor Institution Name of institution Start Date Date of first class Class Description Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar
- [widget for "more news", "follow us"](https://duckietown.com/?elementor_library=widget-for-more-news-follow-us-2) - Follow us on Twitter and Facebook.
- [template-aido-nctu](https://duckietown.com/?elementor_library=template-aido-nctu-2) - 2018 AI DRIVING OLYMPICS AI駕駛訓練課程 了解更多 五所頂尖名校 兩間國際企業 五十隻黃色小鴨機器人 在國際頂尖機器學習研討會NIPS舉辦 2018年最盛大的AI駕駛競賽！ 頂尖大學: 蘇黎世聯邦理工學院. 愛因斯坦的母校。為當代孕育許多智慧機器人才。 蒙特婁大學. 加拿大頂尖研究型大學，為該國AI研究實力最強的大學。 喬治亞理工學院. 與麻省理工學院及加州理工學院並稱為美國三大理工學院 國立交通大學. 以理工著稱，尤在電子、資通訊及光電等領域已佔世界頂尖領導之地位。 北京清華大學. 被譽為「工程師的搖籃」，近年來國際學術地位突飛猛進。 國際企業: nuTonomy自駕車公司. nuTonomy為ETH知名教授技術轉移成立的自駕技術公司。與ETH有著強力的合作關係，是非常有學術潛力的公司。 Amazon亞馬遜公司. 全球知名電子商務公司，目前致力於智慧化機器人工廠的實現。 主辦單位 交大暑期培訓@NCTU 交大團隊 課程時間 贊助單位 暑期學校 一起進入AI Driving/Robotics領域 培訓課程為介紹性課程，對象為對AI Driving/Robotics有興趣的大學生，課程目標為培育人才進入AI Driving/Robotics領域，能了解自走車基本原理，並完成此競賽之基本任務。已有相關專業的學生或團對亦可直接參與競賽，不一定需要參加此課程。 做中學的課程內容 本課程以實作為主，深入淺出 2018/08/06: 人工智慧自走車與開發環境 (Raspberry Pi3、Ubuntu作業系統實作) 2018/08/07: AI Computing（基礎Python語言、電腦視覺OpenCV、深度學習套件） 2018/08/08: 機器人作業系統Robot Operation System (ROS)與AI Hardware 2018/08/09: AI
- [Video - visualization of statistics localization](https://duckietown.com/?elementor_library=video-visualization-of-statistics-localization-2)
- [Downloadable — Posts Extra – Demo 2](https://duckietown.com/?elementor_library=downloadable-posts-extra-demo-2-2)
- [Downloadable — Posts Extra – Demo 1](https://duckietown.com/?elementor_library=downloadable-posts-extra-demo-1-2)
- [get started trio](https://duckietown.com/?elementor_library=get-started-trio-2) - For university instructors Teach a Duckietown class For "Makademics" Learn Duckietown on your own For AI researchers Compete in the AI Driving Olympics
- [Competition Updates](https://duckietown.com/?elementor_library=competition-updates-2) - Competition updates Spearheading Autonomy: Giulio Vaccari and the amazing AEA Giulio Vaccari tells us how he spearheaded Duckietown at the Milan Polytechnic through the AEA student association, to support autonomy research and networking. Read More » January 25, 2024 No Comments AI Driving Olympics 2021: Urban League Finalists AI Driving Olympics 2021 – Urban League
- [Mack + big "DUCKIETOWN" + minimenu](https://duckietown.com/?elementor_library=mack-big-duckietown-minimenu-2) - Learn AI/robotics and help the Duckies get around! Login Register My profile Create content Logout Login Register My profile Create content Logout
- [second header](https://duckietown.com/?elementor_library=second-header-2) - Content area
- [upcoming class 2018 Liam](https://duckietown.com/?elementor_library=upcoming-class-2018-liam-2) - UPCOMING CLASS! Autonomous Vehicles IFT 6757 Fall 2018 Professor Liam Paull Click edit button to change this text. Lorem ipsum dolor sit amet consectetur adipiscing elit dolor Institution Université de Montréal Start Date 4 September Class Description This course focuses on problems in perception, navigation, and control, and their system integration in the context of
- [getstarted2019](https://duckietown.com/?elementor_library=getstarted2019-2) - For University Instructors Teach a Duckietown class For "Makademics" Learn Duckietown on your own Get Duckietown hardware Contact us
- [order hardware button and column](https://duckietown.com/?elementor_library=order-hardware-button-and-column-2) - The Duckietown platform consists of two main components: the Duckiebots, and the environments that they operate in, the Duckietowns. Send us an email, we can help you ORDER HARDWARE
- [get started with duckietown](https://duckietown.com/?elementor_library=get-started-with-duckietown-2) - Get Started with Duckietown! For University Instructors Teach a Duckietown class For "Makademics" Learn Duckietown on your own Start Building Get hardware
- [aido2019](https://duckietown.com/?elementor_library=aido2019-2) - AI Driving Olympics - ICRA 2021 Days
- [duckietown-users](https://duckietown.com/?elementor_library=duckietown-users-2) - Who uses Duckietown? Instructors Edit this group Instructors Andrea Censi ETH Zürich, nuTonomy/Aptiv [show_avatar id=’3′]edit user Liam Paull Université de Montréal [show_avatar id=’6′]edit user Matt Walter TTIC [show_avatar id=’296′]edit user Kirill Krinkin CSC, Russia [show_avatar id=’326′]edit user Jacopo Tani ETHZ [show_avatar id=’343′]edit user Tao Zhang none [show_avatar id=’377′]edit user John Wen none [show_avatar id=’392′]edit user
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- [dt story block1](https://duckietown.com/?elementor_library=dt-story-block1) - The story of Duckietown The Duckietown project was conceived in 2016 as a graduate class at MIT. A group of over 15 Postdocs and 5 professors were involved in the initial development. The goal was to build a platform that was small-scale and cute yet still preserved the real scientific challenges inherent in a full-scale
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- [what is duckietown background pic](https://duckietown.com/?elementor_library=what-is-duckietown-background-pic) - The Duckietown Project is an open-source and accessible robotics research and education platform. The most tangible goal of the project is to provide a low-cost educational “experience” for learning autonomy. Our platform consists of the “Duckiebots”, simple autonomous robots, and the “Duckietowns”, the infrastructure in which the Duckiebots navigates. In addition to the hardware and software, we build a set
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- [nips challenges](https://duckietown.com/?elementor_library=nips-challenges) - The challenge Lane following on a closed course with static obstacles (cones and parked vehicles). The robot will be placed on a conforming closed track (with no intersections) and should follow the trackon the right-hand lane. Lane following on a continuous closed course, with static obstacles plus dynamic vehi- cles controlled “by the matrix” sharing
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