Task-Space Motion-Force Nonlinear Model Predictive Control for Precise and Compliant Control under Uncertainties

This research proposes a unified NMPC framework that directly plans and controls robot joints in task-space, enabling precise and compliant control under uncertainties. The framework incorporates task-space impedance and differential passivity to improve robustness under unmodeled interactions and is validated on physical hardware for both manipulation and locomotion tasks.