Artificial hand gripper controller via Smart Glove for rehabilitation process

Abstract

Most parts in this research are dedicated to control of multi finger grippers with emphasis on the finger tips or finger joints. By controlling a multi finger gripper, we enable the gripper to handle an object; in another words, controlling a multi finger gripper can be viewed in terms of controlling an object's pose and the forces between the object and its environment. Hence, an object pose controller with feedback from an object pose sensor suits multi finger gripper control. Also due to the non-linear dynamic system behavior in the joints of most multi finger grippers, an effective, easily-adaptable joint controller is employed. The paper discusses the object pose controller with great detail in a new joint controller. Since the joint controller is based on microcontroller thus, we do not use an exact analytical model for this case.