{"version":1,"type":"story","url":"https://digestai.news/story/innodata-opens-motion-capture-lab-for-humanoid-robot-training-data","json":"https://digestai.news/story/innodata-opens-motion-capture-lab-for-humanoid-robot-training-data.json","markdown":"https://digestai.news/story/innodata-opens-motion-capture-lab-for-humanoid-robot-training-data.md","slug":"innodata-opens-motion-capture-lab-for-humanoid-robot-training-data","headline":"Innodata opens motion-capture lab for humanoid robot training data","summary":"Innodata Inc. announced the launch of a motion-capture lab in Ridgefield Park, New Jersey, designed to generate high-quality training data for humanoid robots and other physical AI systems. The facility uses Vicon’s high-precision infrared cameras to capture 3D motion data directly from bodies—human or robotic—with sub-millimeter accuracy, addressing a critical bottleneck in robotics development. Unlike 2D video-based methods, this approach ensures precise joint-level tracking, which is essential for tasks like picking up objects safely, according to Franklin Tanner, vice president of robotics and physical AI at Innodata.\n\nThe lab offers end-to-end services, from data collection to model evaluation, aiming to compress development cycles and improve robot safety. Customers can purchase off-the-shelf data packages or commission custom projects, while Innodata also validates robot performance against customer specifications. The company emphasizes the need for real-world data, noting that simulations alone cannot replicate the complexity of human-robot interactions. Tanner highlighted challenges like incomplete teleoperation data and the inefficiency of collecting vast amounts of low-quality data, suggesting a focus on refining data collection methods to maximize utility.","keyPoints":["Innodata’s lab uses Vicon’s sub-millimeter cameras to capture 3D motion data for humanoid robots and physical AI","Facility offers data packages and custom projects, plus independent validation of robot performance and safety","Company claims 80% of egocentric data is often unusable, pushing for smarter data collection methods"],"whyItMatters":"Accurate motion-capture data accelerates humanoid robot development, reducing trial-and-error costs and improving safety for real-world applications.","category":{"slug":"robotics","name":"Robotics & Physical AI","url":"https://digestai.news/category/robotics"},"entities":{"companies":["Innodata Inc.","Vicon"],"models":[],"people":["Rahul Singhal","Franklin Tanner","Andrew Knox"]},"firstPublishedAt":"2026-09-30T12:59:12Z","updatedAt":"2026-09-30T12:59:12Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"The Robot Report","title":"Innodata opens motion-capture lab to help humanoids move more like people","url":"https://therobotreport.com/innodata-opens-motion-capture-lab-help-humanoids-move-more-like-people","publishedAt":"2026-09-30T12:59:12Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Innodata opens motion-capture lab for humanoid robot training data\", 30 September 2026, https://digestai.news/story/innodata-opens-motion-capture-lab-for-humanoid-robot-training-data","publisher":"Digest AI","title":"Innodata opens motion-capture lab for humanoid robot training data","datePublished":"2026-09-30T12:59:12Z","url":"https://digestai.news/story/innodata-opens-motion-capture-lab-for-humanoid-robot-training-data"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}