Generating diverse behaviors with a humanoid robot requires a mix of human supervision and automatic control. Ideally, the user’s input is restricted to high-level instruction and guidance, and the controller is intelligent enough to accompli

Motion Planning for Humanoid Robots Using Timed Petri Net and Modular State Net

Learning Dynamic Humanoid Motion using Predictive Control in Low Dimensional Subspaces