Project title: Drone Racing with Deep Reinforcement Learning

Description:
Autonomous drone racing is gaining a great popularity among researchers. Recently, a number of projects have been launched to encourage rapid advances in the field, e.g. Fast Lightweight Autonomy (FLA), European Research Council’s AgileFlight, and the AutoAssess project. To achieve high performance, racing drones require real-time algorithms that are robust to motion blur, high dynamic range, aerodynamic disturbances, and appearance of opponents. ETH Zurich reached an important milestone when its RL policy outraced all human pilots. The project will focus on the development on Russian first vision-based, autonomous drone racing with leveraging Reinforcement Learning (RL) and Imitation Learning (IL). The experiments in drone racing arena with gates with sub-millimeter precision mocap system will be conducted.

Candidates requirements:
➔ basic programming skills in Python or ROS/Gazebo

Supervisor: Associate Professor Dzmitry Tsetserukou

Internship duration: 1-2 months

The start date of the internship: July 12

End day: August 31

Contact person: Dzmitry Tsetserukou d.tsetserukou@skoltech.ru