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

About

Large-scale data has driven breakthroughs in robotics, from language models to vision-language-action models in bimanual manipulation. However, humanoid robotics lacks equally effective data collection frameworks. Existing humanoid teleoperation systems either use decoupled control or depend on expensive motion capture setups. We introduce TWIST2, a portable, mocap-free humanoid teleoperation and data collection system that preserves full whole-body control while advancing scalability. Our system leverages PICO4U VR for obtaining real-time whole-body human motions, with a custom 2-DoF robot neck (cost around $250) for egocentric vision, enabling holistic human-to-humanoid control. We demonstrate long-horizon dexterous and mobile humanoid skills and we can collect 100 demonstrations in 15 minutes with an almost 100% success rate. Building on this pipeline, we propose a hierarchical visuomotor policy framework that autonomously controls the full humanoid body based on egocentric vision. Our visuomotor policy successfully demonstrates whole-body dexterous manipulation and dynamic kicking tasks. The entire system is fully reproducible and open-sourced at https://yanjieze.com/TWIST2 . Our collected dataset is also open-sourced at https://twist-data.github.io .

Yanjie Ze, Siheng Zhao, Weizhuo Wang, Angjoo Kanazawa, Rocky Duan, Pieter Abbeel, Guanya Shi, Jiajun Wu, C. Karen Liu• 2025

Related benchmarks

TaskDatasetResultRank
Humanoid TeleoperationHumanoid Teleoperation Estimated from released videos
End-to-End Latency (ms)234
9
Humanoid motion trackingMotionX (test)
Success Rate31.82
9
Motion TrackingStylized Kicks
MPJPE41.09
5
Motion TrackingStandard Kicks
MPJPE30.06
5
Humanoid motion trackingAMASS (train)
Success Rate72.61
3
Loco-manipulation trackingUnitree G1 (simulation)
Emgbp5.094
2
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