Core Viewpoint - The article discusses various advanced full-body motion capture solutions, highlighting their technical complexities and potential applications in robotics and teleoperation [1][3]. Group 1: OpenWBC Project - OpenWBC enables full-body control of the Unitree G1 robot using Apple Vision Pro for upper body teleoperation and OpenHomie algorithm for lower body movement, supporting full-body data collection [3][5]. Group 2: TWIST Project - TWIST, developed by Stanford University, represents a significant advancement in humanoid robot teleoperation, utilizing full-body motion imitation to achieve coordinated actions through a single neural network controller [6][11]. Group 3: AMO Project - The Adaptive Motion Optimization (AMO) framework from UC San Diego combines reinforcement learning and trajectory optimization for real-time adaptive full-body control, demonstrating superior stability and expanded workspace [9][11]. Group 4: R²S² Framework - The Real-world-Ready Skill Space (R²S²) framework focuses on developing a skill library for humanoid robots, ensuring optimal performance and robust transferability from simulation to real-world tasks [16]. Group 5: CLONE Project - The CLONE system from Beijing Institute of Technology addresses the challenges of humanoid robot teleoperation by implementing a closed-loop correction system, achieving high fidelity in full-body operations with minimal drift [20]. Group 6: Community and Resources - The article promotes the "Embodied Intelligence Knowledge Planet," a community for sharing cutting-edge academic content, open-source projects, and job opportunities in the field of embodied intelligence [23][25][32].