22 citations · 34 across the 11 of their papers we have counts for
3 papers · 1 filter
HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments
Shuijing Liu, Haochen Xia, Fatemeh Cheraghi Pouria +5
We study the problem of robot navigation in dense and interactive crowds with static constraints such as corridors and furniture. Previous methods fail to consider all types of spa…
Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition
Shengcheng Luo, Quanquan Peng, Jun Lv +4
Employing a teleoperation system for gathering demonstrations offers the potential for more efficient learning of robot manipulation. However, teleoperating a robot arm equipped wi…
Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation
Shuijing Liu, Kaiwen Hong, Neeloy Chakraborty +1
We investigate the feasibility of deploying reinforcement learning (RL) policies for constrained crowd navigation using a low-fidelity simulator. We introduce a representation of t…