Student Jobs

At LIS, we leverage the Duckietown hardware and software ecosystem to experiment with our reinforcement learning (RL) agents, known as learning classifier tables (LCTs), as part of the Duckiebot control system. More information on Duckietown can be found here.

In previous work, we developed a tool called DuckieVisualizer to monitor our Duckiebots, evaluate their driving performance, and visualize and interact with the actively learning RL agents.

This student assistant position will involve extending the tool and its respective interfaces on the robot side by further features, e.g., more complex learning algorithms or driving statistics. The underlying camera processing program should also be ported from Matlab to a faster programming language to enable real-time robot tracking. Furthermore, more robust Duckiebot identification mechanisms should be considered.

Besides these extensions to the DuckieVisualizer, the student will also do some general system maintenance tasks. This may include the hardware of the Duckiebots and their software stack, for example, merging different sub-projects and looking into quality-of-life improvements to the building process using Docker. Another task will be to help newly starting students set up their development environment and to assist them in their first steps. Finally, the student can get involved in expanding our track and adding new components, e.g., intersections or duckie pedestrian crossings.

Prerequisites