5 accepted papers
This paper presents an Iterative Velocity Profile Updating Controller (IVUC) to improve robot-assisted upper limb rehabilitation by dynamically adjusting velocity profiles during robotic exoskeleton training sessions. The proposed approach personalizes motion assistance by iteratively updating bell-
Surface electromyography (sEMG) signals hold considerable promise for predicting upper limb motion, particularly in applications related to human-machine interaction and rehabilitation. While extensive research has been conducted on sEMG signal analysis and pre-processing techniques, relatively litt
Algorithms used for controlling upper limb rehabilitation exoskeletons need to promote active participation of patients in the training while preventing incorrect hand motion and arm posture. Any such framework should also be systematically customizable for individual users. Our work is motivated by
This research paper presents an innovative multitask learning framework that allows concurrent depth estimation and semantic segmentation using a single camera. The proposed approach is based on a shared encoder-decoder architecture, which integrates various techniques to improve the accuracy of the…
This letter presents the electromechanical design, system architecture, baseline control development, and the preliminary evaluation of a novel upper-limb exoskeleton, named CLEVERarm. The developed system can support the motions of inner shoulder, glenohumeral joint, elbow and wrist’s pronation/sup