Task-Space Motion-Force Nonlinear Model Predictive Control for Precise and Compliant Control
Overview
A new NMPC framework enables precise and compliant robot control in task-space, incorporating impedance and differential passivity for robustness under uncertainties, validated on physical hardware for manipulation and locomotion tasks. (2026-10-14).
Generated from attributed reports · Updated 47 minutes ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
No current evidence-backed claims. Missing information remains not reported.
Report timeline
Follow attributed reports and material updates.
- arXiv Robotics — research abstractsTask-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.
Event coverage history
There is not enough continuous observation data to show a trend.
Timezone · UTC
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).