4 accepted papers
Predicting the kinematics of bending pneumatic muscles (BPMs) remains challenging due to the necessity for models that effectively address the pronounced hysteresis and creep inherent in soft materials. While prior research has predominantly focused on phenomenological and data-driven modeling appro…
Predicting the kinematics of bending pneumatic muscles (BPMs) remains challenging due to the necessity for models that effectively address the pronounced hysteresis and creep inherent in soft materials. While prior research has predominantly focused on phenomenological and data-driven modeling appro
The challenge of achieving precise control of soft actuators with strong nonlinearity is mainly due to the difficulty of deriving models suitable for model-based control techniques. Fortunately, Koopman operator provides a data-driven method for constructing control-oriented models of nonlinear syst
The brain-machine interface (BMI) has been reported to offer the potential for controlling the assistive robot for the motor impaired people, using the non-invasively obtained electroencephalogram (EEG) signals. However, the EEG based BMI may not be sufficient and stable to drive the robot moving fr…