Innodata Launches Motion-Capture Lab to Enhance Humanoid Robot Training Data
- Published
- Source
- RoboticsBusinessReview.com
Innodata Inc. has inaugurated a new laboratory dedicated to capturing motion data essential for training humanoid robots. This facility aims to address the critical shortage of real-world interaction data that robotics teams face, as highlighted by CEO Rahul Singhal. The lab will also validate the performance data generated by robots, streamlining the development process for physical AI.
The establishment of this lab is significant as it provides a comprehensive solution for physical AI companies, enabling them to collect data and evaluate models efficiently. Innodata emphasizes the importance of high-quality training data, which is crucial for the advancement of humanoid robots and other forms of physical AI. The company’s approach of capturing 3D motion directly from human or mechanical bodies sets it apart from other data providers that rely on 2D video analysis.
Looking ahead, the lab's capabilities could lead to more precise training for humanoid robots, enhancing their functionality and safety in real-world applications. No further timeline was disclosed at the time of publication.
Original report
Innodata opens motion-capture lab to help humanoids move more like people
RoboticsBusinessReview.com · Eugene DemaitreThis 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
RobotToday Weekly November 9–13, 2026 RobotToday · 23 hours ago
- 2
-
3
RobotToday Weekly November 2 – 6, 2026 RobotToday · 1 week ago
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
MindOn
Embodied AI startup founded 2025 by an ex-Tencent Robotics X researcher; its Mind-0 and Mind-1 models run humanoid and dual-arm robots.
Perceptron, Inc.
Bellevue foundation-model lab founded by two ex-Meta FAIR scientists; its open-weight Isaac models give robots video understanding, reasoning and control.
Hubei Humanoid Robot Innovation Center 湖北人形机器人创新中心
Wuhan public platform opened in June 2025 to train humanoid robots and collect embodied-AI data in 23 simulated scenes; led by a Hubei state tech investor.
Kinetic Blocks
Oslo startup whose marketplace, in beta since Sept 2026, sells verified humanoid-robot training data, each dataset graded A+ to F by its KBQS system.
Vicon Motion Systems
UK motion capture technology leader; Valkyrie & Vantage camera systems for robotics, life sciences, entertainment & engineering.
OptiTrack
OptiTrack, an Oregon-based NaturalPoint brand, was selected by Carnegie Mellon as the motion-capture partner for its new Robotics Innovation Center in 2026.
Highlanders
Tokyo humanoid and quadruped robotics startup building the Kepler physical-AI foundation model and HLQ robot series since 2023.
Ola Dimensions 欧拉万象
Chinese home-robot startup founded in 2026 by Huawei's first embodied-AI lab head, building a mobile dual-arm robot for makers and developers.
DeepAware AI (Robotics Center)
YC S25 San Francisco start-up supplying physical-AI teams with 90+ robot platforms, teleoperation data collection, a robot data marketplace and the RC M1.
AGIRobots
Nagoya, Japan startup founded 2024 building 7-axis arms and semi-humanoid robots for physical AI R&D; stationary model priced from JPY 6 million.
APLA Inc. 에이플라; 주식회사 에이플라
Korean computer vision startup turning ordinary 2D video into 3D motion data and robot joint control sequences, on-device and without depth sensors.
NOKOV Metric Technology 度量科技
Beijing optical motion capture system maker; sub-millimeter precision 3D tracking for robotics, UAVs, VR, biomechanics, and embodied AI.
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.