最近很多同学咨询我们全身动捕数据的方案，相比于遥操作/VR+动捕手套，这种方案技术难度上更大，今 天也为大家汇总几篇行业里面比较知名的全身动捕方案。更多内容欢迎移步到具身智能之心知识星球，一 个交流技术和方案的地方。 OpenWBC 项目链接：https://github.com/jiachengliu3/WBC_Deploy 本项目实现了对 Unitree G1 机器人的全身控制：使用 Apple Vision Pro 结合 avp_teleoperate 控制机器人上 半身，使用 OpenHomie 算法控制下半身运动。同时支持 全身数据采集 功能。 主要功能特性： TWIST TWIST: Teleoperated Whole-Body Imitation System 项目链接：https://yanjieze.com/TWIST/ 斯坦福大学团队出品的工作。全身远程操控人形机器人标志着迈向通用机器人智能的关键一步，而人体运 动为控制所有自由度提供了理想接口。然而，当前大多数人形机器人遥操作系统难以实现协调的全身行 为，通常仅限于孤立的移动或操作任务。团队提出"全身运动模仿遥操作系统"（TWIST）， ...

Market Performance - On May 14, 2025, the CSI 300 index rose by 1.21%, while the machinery sector declined by 0.43%, ranking 29th among all primary industries [2][1] - Within the sub-sectors, semiconductor equipment had the highest increase of 0.79%, whereas engineering machinery experienced the largest drop of 1.96% [2][1] - The top three gainers in individual stocks were Heng Er Da (+20.00%), Zhong Ji Huan Ke (+19.97%), and Da Ye Co. (+12.98%); the top three losers were Magnetic Valley Technology (-8.20%), Xin Yu Ren (-7.46%), and De Ma Technology (-6.19%) [2][1] Company Announcements - New Era's shareholder Wang Chunxiang plans to reduce his stake by 0.15% through block trading or centralized bidding, having previously held 2.12% [3] - Guangge Technology's major shareholder Beijing Jishi Chuangye Investment Fund reduced its stake by 0.27% from 5.00% between May 7 and May 13, 2025 [3] - Fengxing Co.'s major shareholder Jiangxi Taihao Technology Development Co. has reduced its stake by 1.02% from 7.92% through centralized bidding [3] - Zhuozhao Point Glue's shareholder Yinghao (Hainan) Venture Capital Co. has reduced its stake by 0.2914% from 1.2230% through centralized bidding [3] Industry News - Zhiyuan Robotics and the University of Hong Kong launched UniVLA, a new framework for universal strategy learning in robotics, which allows for cross-domain, cross-scenario, and cross-task capabilities [6] - UniVLA's core innovation is the task-centric latent action space, enabling efficient learning from vast amounts of unlabeled video data, achieving state-of-the-art performance with significantly lower computational resources [6] - The model demonstrated an average success rate improvement of 18.5% across four evaluation metrics and achieved state-of-the-art results with only 10% of the data in specific tasks [6] - The first practical quantum-resistant chip "Mi Xin PQC01" was released by Zhengzhou Xinda Yimi Technology Co., featuring 100% domestic production and core technology [7][8] - The chip supports dynamic switching between quantum-resistant and classical algorithms, operates on a 28nm process, and reduces power consumption by 60%, making it suitable for IoT and mobile devices [8]