Learning Multi-Agent Task Assignment and Navigation in the Factory: from Simulation to Real Robots

arXiv:2609.14567 · cs.RO, cs.LG · Submitted 2026-09-13 · Read on arXiv

cs.RO, cs.LG

Submitted: 2026-09-13

Updated: 2026-09-13

Comments: This work has been submitted for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible

Project page: https://anonymouspapers123.github.io/FMAPPO

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Feature-fusion Multi-Agent Proximal Policy Optimization — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

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