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Le Mao

2 accepted papers

2024

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

ICRA 2024poster

In public spaces shared with humans, ensuring multi-robot systems navigate without collisions while respecting social norms is challenging, particularly with limited communication. Although current robot social navigation techniques leverage advances in reinforcement learning and deep learning, they…

Cited by 17SourceScholar
2023

NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning

IROS 2023poster

Developing robotic technologies for use in human society requires ensuring the safety of robots' navigation behaviors while adhering to pedestrians' expectations and social norms. However, understanding complex human-robot interactions (HRI) to infer potential cooperation and response among robots a…

Cited by 16SourceScholar