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cs.RO2025
Residual MPC: Blending Reinforcement Learning with GPU-Parallelized Model Predictive Control
Se Hwan Jeon, Ho Jae Lee, Seungwoo Hong +1
Model Predictive Control (MPC) provides interpretable, tunable locomotion controllers grounded in physical models, but its robustness depends on frequent replanning and is limited…
cs.RO2025
Learning Humanoid Arm Motion via Centroidal Momentum Regularized Multi-Agent Reinforcement Learning
Ho Jae Lee, Se Hwan Jeon, Sangbae Kim
Humans naturally swing their arms during locomotion to regulate whole-body dynamics, reduce angular momentum, and help maintain balance. Inspired by this principle, we present a li…