Innodata Opens Motion-Capture AI Lab to Help Humanoids Move Like Humans

Frank Tanner, Vice president of robotics and physical AI at Innodata

“There's just no substitute for direct 3D motion capture. When a computer vision model tries to make sense of a 2D grid of pixels, mistakes inevitably creep in. Our sensors are designed to register the tiniest motion of every joint, which makes training more accurate and efficient. When you're training a humanoid that weighs almost 200 pounds, your readings can't be in the ballpark. They need to be precise. And with this lab, they are.”

Andrew Knox, Managing director of Vicon

“Plenty of motion capture companies have discovered humanoid robotics lately. But the teams building the most capable robots keep reaching the same conclusion: if the training data is approximate, the robot will be too. Vicon sets the standard that motion data is measured against. Our systems capture people, robots and the objects they handle in the same space, with sub-millimeter accuracy and millisecond latency. That gives you independent ground truth, not an estimate. It's why the leading humanoid developers, frontier AI labs and research universities keep choosing Vicon, and why Innodata's lab is well placed to become a reference point for the whole physical AI industry.”

Rahul Singhal, CEO of Innodata

“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 exists is expensive and slow to produce. This facility removes that wall. We now offer physical AI companies a complete end-to-end capability - from data collection through model evaluation - that compresses development cycles and gets more capable, safer robots into the world sooner.”