人形机器人运动智能论文、开源项目、产业与求职知识库
BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
PACE: A systematic approach for sim-to-real transfer of legged robots, identifying actuator and joint dynamics with standard joint encoders.
First JEPA-based learning framework for mapping-free LiDAR-based perceptive locomotion
具身智能学习手册 - 覆盖VLA模型、遥操作、Sim2Real、强化学习等完整知识体系的系统性学习指南
Gibson Environments: Real-World Perception for Embodied Agents
关键词:ROBOCON、四足、四轮足、仿生足式、强化学习、RL、Mjlab、Mujoco、Odin1、sim2sim、sim2real。
A curated collection of papers on Sim-to-Real, Real-to-Sim, and Real2Sim2Real transfer for robotics, reinforcement learning, and embodied AI.
26赛季轮腿步兵强化学习sim2sim&sim2real部署仓库
⚙️ PACE — Sim-to-Real Transfer for Legged Robots (mjlab)