Abstract: Inverse optimal control (IOC) seeks to infer a control cost function that captures the underlying goals and preferences of expert demonstrations. While significant progress has been made in ...
Abstract: Conventional model predictive control (MPC) relies on accurate motor parameters and has a poor ability to resist unmodeled disturbance, which greatly limits its performance in complex ...