AI RESEARCH
Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots
arXiv CS.AI
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ArXi:2604.19104v1 Announce Type: cross Developing bipedal football robots in dynamiccombat environments presents challenges related to motionstability and deep coupling of multiple tasks, as well ascontrol switching issues between different states such as up-right walking and fall recovery. To address these problems,this paper proposes a modular reinforcement learning (RL)framework for achieving adaptive multi-task control.