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20232026
most citedUnifying Large Language Model and Deep Reinforcement Learning for Human-in-Loop Interactive Socially-aware Navigation

5 citations · 13 across the 12 of their papers we have counts for

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2 papers · 1 filter

cs.RO2023★ 1 cited

Initial Task Assignment in Multi-Human Multi-Robot Teams: An Attention-enhanced Hierarchical Reinforcement Learning Approach

Ruiqi Wang, Dezhong Zhao, Arjun Gupte +1

Multi-human multi-robot teams (MH-MR) obtain tremendous potential in tackling intricate and massive missions by merging distinct strengths and expertise of individual members. The…

cs.RO2023★ 2 cited

Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent Reinforcement Learning

Weizheng Wang, Le Mao, Ruiqi Wang +1

In public spaces shared with humans, ensuring multi-robot systems navigate without collisions while respecting social norms is challenging, particularly with limited communication.…