Embodied AI Reading Notes (@EmbodiedAIRead)

2026-01-03 | โค๏ธ 82 | ๐Ÿ” 11


TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System

Project: https://yanjieze.com/TWIST2/ Paper: https://yanjieze.com/TWIST2/ Code: https://github.com/amazon-far/TWIST2 Data: https://twist-data.github.io/

This project introduces a low-cost, mocap-free, easy-to-setup teleoperation data collection system for G1 humanoid whole-body control and use this system and data to train a whole-body visuomotor policy with egocentric vision.

  • System formulation: (1) low-level control: trained as a general motion tracker at 50HZ, which is task-agnostic (2) high-level control: generate motion commands conditioned on egocentric vision.

  • Hardware setup: (1) self-designed 2DoF robot neck for egocentric vision (2) PICO 4U head set and 2 PICO Motion Tracker for motion tracking teleop.

  • Authors use an adapted version of GMR, a real-time motion retargeting method for human-to-humanoid retargeting

  • Hierarchical visual policy framework: (1) system 1 general motion tracker is trained with dedicated motion dataset using RL in large-scale sim. (2) system 2 visuomotor policy is a diffusion policy to predict whole-body joint positions using teleop collected observation-action pairs.

  • This system enables simple vision-based autonomous control of full humanoid body task such as whole-body pick&place and kicking box to target region.

  • The entire system and collected dataset are open-sourced.

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Robotics AI-ML GenAI Dev-Tools