What is Duckietown?
Duckietown, an open-source education and research platform for robotics and autonomous vehicle systems.Provides hands-on hardware (Duckiebots, Duckiedrones) and modular urban testbeds (Duckietowns/Autolabs) for teaching and prototyping vehicle autonomy.
Includes curriculum materials, interactive lectures, lab exercises, ROS- and Python-compatible software, and detailed documentation for instructors and students.Offers simulation tools and workflows for sim-to-real transfer, reproducible experiments, multi-agent systems, and perception and control pipelines.
Supports classroom deployment and research projects with configurable hardware, pre-assembled kits, and integration guides.Designed for educators, learners, and researchers focused on practical robotics education, autonomous driving experiments, and hands-on AI system development.
Duckietown pricing Free
Verify on the official pricing page.
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Duckietown's key features
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Low-cost Duckiebot mobile-robot hardware built from off-the-shelf parts (pre-assembled and upgrade kits available)
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Duckiedrone autonomous quadcopter platform that can be built and programmed from scratch
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Modular Duckietown/Autolab environments (roads, signage, traffic lights, watchtowers) for testing vehicle autonomy and multi-agent scenarios
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Software stack and tooling compatible with Linux, ROS, and Python, including simulation tools enabling sim-to-sim-to-real transfer
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Open research and teaching platform with interactive lectures, hands-on labs, rich documentation, and reproducible research workflows
Duckietown use cases
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Create a hands-on robotics course using Duckietown's preassembled Duckiebots, curriculum and ROS/Python labs so students can learn perception, control and sim-to-real deployment without complex hardware setup
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Prototype and validate autonomous vehicle perception and control pipelines in Duckietown simulation, then seamlessly transfer and test them on physical Duckiebots and Duckiedrones for real-world sim-to-real research
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Create reproducible multi-agent autonomy experiments on Duckietown's modular urban testbeds to evaluate coordination algorithms, collect datasets, and collaborate using ROS-compatible tools for publishable results
Who is it for?
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Software developers
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Robotics engineers
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Academic educators
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Student researchers
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Hobbyist builders