Alexandre Lombard

2 accepted papers

2025

Learning Decentralized Multi-Robot PointGoal Navigation

Takieddine Soualhi, Nathan Crombez, Yassine Ruichek, Alexandre Lombard, Stéphane Galland

RA-L 2025

Integrating robots into real-world applications requires effective consideration of various agents, including other robots. Multi-agent reinforcement learning (MARL) is an established field that addresses multi-agent systems problems by leveraging reinforcement learning techniques. Despite its poten

Cited by 4 Source ↗Scholar ↗

2025

Online Context Learning for Socially Compliant Navigation

Iaroslav Okunevich, Alexandre Lombard, Tomás Krajník, Yassine Ruichek, Zhi Yan

RA-L 2025

Robot social navigation needs to adapt to different human factors and environmental contexts. However, since these factors and contexts are difficult to predict and cannot be exhaustively enumerated, traditional learning-based methods have difficulty in ensuring the social attributes of robots in lo

Cited by 5 Source ↗code ↗Scholar ↗