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World In Your Hands: A Large-Scale and Open-Source Ecosystem for Learning Human-Centric Manipulation in the Wild

Yupeng Zheng
Jichao Peng
Weize Li
Yuhang Zheng
Xiang Li
Yujie Jin
Julong Wei
Guanhua Zhang
Ruiling Zheng
Ming Cao
Songen Gu
Zhenhong Zou
Kaige Li
Ke Wu
Mingmin Yang
Jiahao Liu
Pengfei Li
Hengjie Si
Feiyu Zhu
Wang Fu
Likun Wang
Ruiwen Yao
Jieru Zhao
Yilun Chen
Wenchao Ding
Main:8 Pages
18 Figures
Bibliography:3 Pages
6 Tables
Appendix:9 Pages
Abstract

We introduce World In Your Hands (WIYH), a large-scale open-source ecosystem comprising over 1,000 hours of human manipulation data collected in-the-wild with millimeter-scale motion accuracy. Specifically, WIYH includes (1) the Oracle Suite, a wearable data collection kit with an auto-labeling pipeline for accurate motion capture; (2) the WIYH Dataset, featuring over 1,000 hours of multimodal manipulation data across hundreds of skills in diverse real-world scenarios; and (3) extensive annotations and benchmarks supporting tasks from perception to action. Furthermore, experiments based on the WIYH ecosystem show that integrating WIYH's human-centric data improves robotic manipulation success rates from 8% to 60% in cluttered scenes. World In Your Hands provides a foundation for advancing human-centric data collection and cross-embodiment policy learning. All data and hardware design will be open-source.

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