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Planning for Multi-player Competitive Drone Racing
Drone racing is a competitive sport where pilots have to fly their platforms through a race track while avoiding and overtaking other drones. The goal of this project is to develop algorithms that plan time-optimal and collision-free trajectories for multi-player competitive drone racing.
Keywords: multi-agent planning, motion planning
Drone racing is a competitive sport where pilots have to maneuver their platforms through a race track while avoiding and overtaking other drones. Therefore, autonomous drones have to plan with respect to other competitors while flying the track in minimum time. This requires predicting opponent drones’ trajectories and planning own trajectories that avoid collisions with opponent drones. Moreover, the planner has to consider overtaking strategies and plan such maneuvers to beat other players. The goal of this project is to pursue research on planning for multi-player competitive drone racing. Applications should have experience in C++ and ROS.
Drone racing is a competitive sport where pilots have to maneuver their platforms through a race track while avoiding and overtaking other drones. Therefore, autonomous drones have to plan with respect to other competitors while flying the track in minimum time. This requires predicting opponent drones’ trajectories and planning own trajectories that avoid collisions with opponent drones. Moreover, the planner has to consider overtaking strategies and plan such maneuvers to beat other players. The goal of this project is to pursue research on planning for multi-player competitive drone racing. Applications should have experience in C++ and ROS.
Not specified
Please send your CV and transcripts (bachelor and master) to Robert Penicka (penicka AT ifi DOT uzh DOT ch) and Yunlong Song (song AT ifi DOT uzh DOT ch).
Please send your CV and transcripts (bachelor and master) to Robert Penicka (penicka AT ifi DOT uzh DOT ch) and Yunlong Song (song AT ifi DOT uzh DOT ch).