Overview

The Robot Physical Intelligence module focuses on generating high-quality 3D human-motion datasets that robotics teams use to study locomotion, grasping, coordination, and embodied intelligence.

RayKnot provides consistent motion measurements that can be mapped into robot-learning pipelines and physics-based simulations.

Robot Physical Intelligence

Key Features

• Precise 3D joint trajectories for locomotion, reaching, grasping, and coordinated tasks

• Suitable for learning-from-demonstration and behaviour-cloning datasets

• Clean multi-view data for simulation, modelling, and trajectory retargeting

• Compatible with humanoid and mobile-robot development frameworks

• Portable and repeatable setup for generating motion libraries

• Sync support for haptics, force sensors, and robot digital IO

Applications

• Generating datasets for robot imitation learning and task-level motion patterns

• Supporting grasp-learning, motor coordination, and adaptive control studies

• Research linking biomechanics, motion dynamics, and robot behaviour modelling