Innodata opens motion-capture AI lab to help humanoids move like humans
Innodata opens motion-capture AI lab that aims to help humanoids move like humans
Innodata has launched a new R&D lab equipped with high-precision infrared cameras to generate 3D motion data for training humanoids and validating robot performance. The lab, developed in collaboration with Vicon, provides sub-millimeter accuracy and millisecond latency, addressing the need for high-quality training data in physical AI.
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Innodata's new motion-capture lab represents a significant advancement in generating high-precision 3D data for training human-like robots, offering a more accurate alternative to 2D video analysis and enabling independent validation of robot performance.
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Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.
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customer specifications. Innodata said that its lab experts can measure a robot's movements and responses in a variety of scripted scenarios, including those in which robots and people interact. Because the lab's calibrated cameras observe each robot from the outside, the company said that it can provide an external ("exocentric") check on the robot's internal ("egocentric") telemetry, which is often noisy. Innodata
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stomers can purchase motion-capture data as off-the-shelf packages, or commission custom projects. Innodata added that it can produce training data for a wide range of physical AI platforms and retarget motion data from one platform to another as needed. "Physical AI is growing faster than any other segment in AI, but every robotics team hits the same wall: there isn't enough real-world interaction data, and what exi
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said that the resulting measurements can be used to validate a developer's internal data reports or performance claims or to provide independent, third-party benchmarks for trust and safety.
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Implications for data suppliers
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Source：Robotics 24/7 — Industry reporting · robotics247.com