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.
HiPHI: A Large-Scale Benchmark for High-Precision Human Motion and Object Interaction.
According to the source: 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 and existing motion capture datasets cannot provide. How FrameNet , a linguistic framework for human action, can guide motion capture collection to systematically cover a broad range of whole-body…
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