Position: Visiting Scholar
Focus: Multi-agent Systems and Planning
Chegnyang He is currently a PhD student at MARMotLab, National University of Singapore (NUS), and a visiting PhD student at the Multi-robot Systems Lab (MSL), Stanford University. His previous research primarily focused on Multi-agent Pathfinding (MAPF), particularly on improving coordination among multiple agents through enhanced state representation methods. He is now interested in extending MAPF algorithms to a wider range of applications, including multi-manipulator systems.