4 citations · 8 across the 11 of their papers we have counts for
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cs.RO2024★ 4 cited
AVOCADO: Adaptive Optimal Collision Avoidance driven by Opinion
Diego Martinez-Baselga, Eduardo Sebastián, Eduardo Montijano +3
We present AVOCADO (AdaptiVe Optimal Collision Avoidance Driven by Opinion), a novel navigation approach to address holonomic robot collision avoidance when the robot does not know…
cs.RO2024★ 3 cited
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastian, Thai Duong, Nikolay Atanasov +2
The networked nature of multi-robot systems presents challenges in the context of multi-agent reinforcement learning. Centralized control policies do not scale with increasing numb…