6 citations · 7 across the 4 of their papers we have counts for
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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
A Design Co-Pilot for Task-Tailored Manipulators
Jonathan Külz, Sehoon Ha, Matthias Althoff
Although robotic manipulators are used in an ever-growing range of applications, robot manufacturers typically follow a ``one-fits-all'' philosophy, employing identical manipulator…