Development of a force-field-based control strategy for an upper-limb rehabilitation robot

Abstract

Robot-assisted rehabilitation has proven to be effective for improving the motor performance of patients with neuromuscular injuries. The effectiveness of robot-assisted training directly depends on the control strategy applied in the therapy training. This paper presents an end-effector upper-limb rehabilitation robot for the functional recovery training of disabled patients. A force-field-based rehabilitation control strategy is then developed to induce active patient participation during training tasks. The proposed control strategy divides the 3D space around the rehabilitation training path into a human-dominated area and a robot-dominated area. It encodes the space around the training path and endows the corresponding normal and tangential force; the tangential component assists with movement along the target path, and the normal component pushes the patient's hand towards the target path using a real-time adjustable controller. Compared with a common force-field controller, the human-robot interaction in this strategy is easy and can be quickly adjusted by changing the force field's range or the variation characteristics of two forces, and the intervention in two directions can change continuously and smoothly despite the patient's hand crossing the two areas. Visual guidance based on the Unity-3D environment is introduced to provide visual training instructions. Finally, the feasibility of the proposed control scheme is validated via training experiments using five healthy subjects.