H2L Unveils BodySharing Physical AI Learning Human Motion and Force for Robotics
- Published
- Source
- RobotStart.info
On October 14, 2026, H2L Corporation announced the launch of its domestic Physical AI, BodySharing Physical AI, which learns unique human sensory data. This system generates control signals for autonomous robots by learning data related to posture, movement, and force application, achieving a 95% success rate in task performance using 15 minutes of human experience data.
The significance of this development lies in its potential to enhance automation in industrial settings by teaching robots not only how to move objects but also how to apply appropriate force based on the task. H2L aims to digitize human sensory experiences to preserve skilled labor and facilitate automation in Japan's industrial landscape.
Looking ahead, H2L plans to expand compatibility with single-arm and dual-arm robots equipped with grippers, beyond the currently validated models, xArm7 and Sciurus17. No further timeline was disclosed at the time of publication.
Original report
人の動作と力加減を学習する「BodySharing Physical AI」をH2Lが発表 体験データ15分で作業成功率95%
RobotStart.infoThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
-
12
ACIRS 2027 – Hong Kong, Jul 23–25, 2027 RobotToday · 1 day ago
Related Suppliers
FIRST
United States
U.S. nonprofit founded in 1989 that runs the FIRST Robotics Competition and other youth robotics programs across more than 110 countries.
Leobotics
France
Leobotics runs a robotics concept store in Lyon selling, renting and installing educational, service and industrial robots, plus robotics training.
Human Archive
United States
Data lab capturing aligned multimodal human-interaction data to train robotics and embodied-AI foundation models.
DexRobot 灵巧智能
China
Zhejiang-based maker of high-DOF dexterous robotic hands; DexHand021 features 19 DOF (12 active) for humanoid and industrial manipulation.
APLA Inc. 에이플라; 주식회사 에이플라
Korea, Republic of (South)
Korean computer vision startup turning ordinary 2D video into 3D motion data and robot joint control sequences, on-device and without depth sensors.
BridgeDP Robotics 桥介数物
China
Shenzhen developer of universal robot 'cerebellum' motion-control algorithms for humanoid, quadruped and wheeled-legged robots using RL and motion capture.
Flexiv Robotics 非夕
United States
Santa Clara adaptive robotics company founded 2016; makes force-controlled Rizon arm series with 0.005N force sensing; raised $322M total.
Si Robotics
Poland
Warsaw startup founded 2024 making tendon-driven actuators and the JOULE tracked dual-arm platform for defence; NATO NCAGE-registered, pre-seed funded.
UNIVER SHANGHAI Industry Automation
China
Shanghai-based pneumatic valve and actuator maker serving industrial automation; operates at universal-onebot.com.
Bozhon Precision Industry Technology Co., Ltd.
China
Suzhou-listed automation integrator for electronics/EV/semiconductor; 5 R&D centers, 11 factories; ticker 688097.SS.
Archetype AI
United States
Physical AI platform company deploying the Newton foundation model to fuse sensor data with language for real-world industrial intelligence.
Deplace AI
France
Paris-based physical AI startup capturing human motion demonstrations and converting them into multimodal action guidance priors for robotics models.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
