3 accepted papers
Achieving efficient cooperative exploration with multiple Unmanned Aerial Vehicles (UAV) is challenging due to the conflict between the requirement for map sharing among UAVs and the limited onboard communication resources. In this letter, we propose PC-Explorer, a decentralized cooperative explorat
In this work, we propose a learning-based one-stage planner for trajectory generation of quadrotor in obstacle-cluttered environment without relying on explicit map. We integrate perception and mapping, front-end path searching, and back-end optimization into a single network. We frame the motion pl
In this work, we propose a reaction-based local planner for autonomous collision avoidance of quadrotor in obstacle-cluttered environment without relying on an explicit map. Our approach searches for feasible trajectory using a set of motion primitives in state lattice and represents the optimal one