Bipedal action model for humanoid robot

Abstract

The present disclosure provides a humanoid robot system comprising a mechanical structure including a torso, two arms, and two legs providing at least 30 degrees of freedom, actuators coupled to the degrees of freedom, a sensor suite comprising at least one camera and proprioceptive sensors including joint encoders and an inertial measurement unit, a computing system comprising at least one processor and memory storing instructions which, when executed, implement a hierarchical bipedal action model including a Beta model configured to receive multimodal input data and generate a token sequence indicative of task intent and environmental state, and an Alpha model configured to condition on the token sequence and current robot pose data to output continuous action chunks comprising sequences of future target joint states over a finite horizon, and a low-level controller configured to convert the continuous action chunks into actuator control signals for execution.