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cs.RO2024
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation
Lucas C. D. Bezerra, Ataíde M. G. dos Santos, Shinkyu Park
We propose a decentralized, learning-based framework for dynamic coalition formation in Multi-Robot Task Allocation (MRTA). Our approach extends MAPPO by integrating spatial action…
cs.RO2024★ 1 cited
Subassembly to Full Assembly: Effective Assembly Sequence Planning through Graph-based Reinforcement Learning
Chang Shu, Anton Kim, Shinkyu Park
This paper proposes an assembly sequence planning framework, named Subassembly to Assembly (S2A). The framework is designed to enable a robotic manipulator to assemble multiple par…