For a humanoid robot to walk, grasp objects, and perform tasks like a human, it first needs data that teaches it how humans move. As research in Physical AI and humanoid robotics accelerates, many labs and companies are facing the same questions: How do you capture motion data precise enough to use directly for robot learning? How do you integrate motion capture data with data from other sensors? How do you connect that data to real robot learning, such as imitation learning

Zenix Robotics, a logistics automation robotics company, has adopted XEROmotion's industrial motion capture camera, the HALO v22. A Stable Motion Capture Setup for Robotics Development HALO v22 cameras were arranged in a circle around a large indoor space to build a capture volume. This layout delivers stable, multi-angle tracking of full-body movement, making it well suited for robotics R&D — from motion learning and AI dataset creation to motion analysis and control algorit