Guide for researchers

Build a mobile robotics lab for accessible and reproducible research

I am a researcher

Duckietown is a modular, inexpensive research platform for studying autonomy in complex systems.

Think of it as an “experimental simulator” which exposes the nuisances of the real world while preserving control over the environment.

Value proposition

We provide a baseline implementation for you to rapidly and easily test your algorithms on real physical hardware.

Convenience: You can only change the part that interests you and use the rest of the baselines to have a fully functional system.
Reproducibility: Your research has a high impact since it uses a standard platform that others can easily replicate.

Example tools for research

Imitation learning template
Reinforcement learning template
Database of Duckiebot driving logs
Duckiebot driving simulator
Modularized code (ROS baseline template)
Low cost, standardized robots, and smart city environment
An international embodied AI competition infrastructure (AI-DO)
A community to bounce ideas off
A simulation-based system for robotic agent benchmarking
A physical system for reproducible agent benchmarking (Autolab)

Join the Duckietown community on Slack
Learn about the capabilities of the platform
Get the hardware

Reach out for additional information

Want to upgrade your Duckietown to Autolab and enable experimental evaluations locally, or have questions on how to bring Duckietown to your institution?

Reach out or request a formal quote here: