6 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 6 cited
Deep Reinforcement Learning for Multi-Agent Coordination
Kehinde O. Aina, Sehoon Ha
We address the challenge of coordinating multiple robots in narrow and confined environments, where congestion and interference often hinder collective task performance. Drawing in…
cs.RO2025★ 2 cited
Fault-Tolerant Multi-Robot Coordination with Limited Sensing within Confined Environments
Kehinde O. Aina, Hosain Bagheri, Daniel I. Goldman
As robots are increasingly deployed to collaborate on tasks within shared workspaces and resources, the failure of an individual robot can critically affect the group's performance…