
HiPHI: A Large-Scale Benchmark for High-Precision Human Motion and Object Interaction
This White Paper gives robotics researchers and engineers an overview of a new large-scale motion capture dataset built to close the data gap limiting humanoid robot learning. It also shows how policies trained on the dataset transfer to a real humanoid robot. What you will learn about: Why humanoid robot learning, a central problem in embodied AI and Physical AI, needs data that internet video…
Read original article on IEEE Spectrum →