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