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Task-Space Motion-Force Nonlinear Model Predictive Control for Precise and Compliant Control under Uncertainties
In Nonlinear Model Predictive Control (NMPC), the control law is implicitly determined by the solution of an Optimal Control Problem (OCP). Consequently, OCP design is often tailored to specific platforms and tasks, demanding extensive expert knowledge and tuning effort. To address this, we propose
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