2 papers
cs.RO2025
Keep on Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training
Yang Zhang, Zhanxiang Cao, Buqing Nie +6
Humanoid robots are expected to operate reliably over long horizons while executing versatile whole-body skills. Yet Reinforcement Learning (RL) motion policies typically lose stab…
cs.RO2025
Impact of Static Friction on Sim2Real in Robotic Reinforcement Learning
Xiaoyi Hu, Qiao Sun, Bailin He +4
In robotic reinforcement learning, the Sim2Real gap remains a critical challenge. However, the impact of Static friction on Sim2Real has been underexplored. Conventional domain ran…