KINESIS is a model-free imitation-learning framework that facilitates the development of effective and scalable muscle-based control policies of locomotion. KINESIS is trained on 1.8 hours of ...
Abstract: In view of the large size of the traditional stepper motor drive system, it is not conducive to the miniaturization and integrated design of equipment. An integrated stepper motor field ...
Abstract: In model predictive control, ensuring the accuracy and robustness of the prediction model is crucial. A Kalman filter (KF) is a self-correction method commonly used as an observer for state ...