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cs.RO2025
Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids
Kaizhe Hu, Haochen Shi, Yao He +3
Simulation-based reinforcement learning (RL) has significantly advanced humanoid locomotion tasks, yet direct real-world RL from scratch or adapting from pretrained policies remain…
cs.RO2025
ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation
Haochen Shi, Weizhuo Wang, Shuran Song +1
Learning-based robotics research driven by data demands a new approach to robot hardware design-one that serves as both a platform for policy execution and a tool for embodied data…