101 citations · 106 across the 11 of their papers we have counts for
4 papers · 1 filter
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
Shanqi Liu, Licheng Wen, Jinhao Cui +3
Multi-agent path finding in formation has many potential real-world applications like mobile warehouse robots. However, previous multi-agent path finding (MAPF) methods hardly take…
HILONet: Hierarchical Imitation Learning from Non-Aligned Observations
Shanqi Liu, Junjie Cao, Wenzhou Chen +2
It is challenging learning from demonstrated observation-only trajectories in a non-time-aligned environment because most imitation learning methods aim to imitate experts by follo…
CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
Licheng Wen, Zhen Zhang, Zhe Chen +2
Multi-Agent Path Finding has been widely studied in the past few years due to its broad application in the field of robotics and AI. However, previous solvers rely on several simpl…
Collision-free Trajectory Planning for Autonomous Surface Vehicle
Licheng Wen, Jiaqing Yan, Xuemeng Yang +2
In this paper, we propose an efficient and accurate method for autonomous surface vehicles to generate a smooth and collision-free trajectory considering its dynamics constraints.…