Learning-Based Predictive Impedance Control Towards Safe Predefined-Time Physical Robotic Interaction
Impedance control can be achieved within a model predictive control (MPC) framework for optimization and constraint compliance. However, user-defined or optimization-derived impedance models can be too conservative to achieve a timely convergence, or too aggressive to ensure safety. To address this,