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Xiaojun Lu

2 accepted papers

2025

Group-Aware Robot Navigation in Crowds Using Spatio-Temporal Graph Attention Network With Deep Reinforcement Learning

RA-L 2025

Robots are becoming essential in human environments, requiring them to behave in a socially compliant manner. Although previous learning-based methods have shown potential in social navigation, most have treated pedestrians as individuals, failing to account for group level interactions. Additionall

Cited by 7SourceScholar
2023

All Aware Robot Navigation in Human Environments Using Deep Reinforcement Learning

IROS 2023poster

Mobile robots functioning in human environments should behave with a secure and socially-compliant manner. Although many studies have revealed the effectiveness of Deep Reinforcement Learning (DRL) in robot navigation, most of them can only handle the presence of human as independent individuals. Fa…

Cited by 2SourceScholar