Advanced Motion Planning Techniques for the Cooperation of Multi-Agent Systems
Motion planning and control methods for cooperative robots in dynamic, cluttered environments.
This project brings together optimization-based and sampling-based motion planning methods for cooperative multi-agent systems, with emphasis on real-time execution and safe operation in cluttered environments.
Decentralized MPC-based Trajectory Generation for Multiple Quadrotors in Cluttered Environments
Sampling-based Path Planning under Temporal Logic Constraints with Real-time Adaptation
GTO-MPC-Based Target Chasing Using a Quadrotor in Cluttered Environments
