16 citations · 36 across the 9 of their papers we have counts for
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cs.RO2024
The Cambridge RoboMaster: An Agile Multi-Robot Research Platform
Jan Blumenkamp, Ajay Shankar, Matteo Bettini +2
Compact robotic platforms with powerful compute and actuation capabilities are key enablers for practical, real-world deployments of multi-agent research. This article introduces a…
cs.RO2023★ 7 cited
Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini, Ajay Shankar, Amanda Prorok
Cooperative multi-robot tasks can benefit from heterogeneity in the robots' physical and behavioral traits. In spite of this, traditional Multi-Agent Reinforcement Learning (MARL)…