Cognitive vision system for control of dexterous prosthetic hands: Experimental evaluation

Radio Frequency Identification for the Control of Dexterous Prosthetic Hands

Simple Controllers for Dexterous Hands

Unlike pick-and-place manipulations, ne motions strategies generate movements based on sensor information to overcome mechanical and sensory uncertainties. Performing assembly operations with a dexterous hand make high demands on the controller of the robot gripper. Pre-grasping operations are highly dependent on a good position/velocity control. The control strategies for position and velocity...

Control of Prosthetic Hands via the Peripheral Nervous System

This paper intends to provide a critical review of the literature on the technological issues on control and sensorization of hand prostheses interfacing with the Peripheral Nervous System (i.e., PNS), and their experimental validation on amputees. The study opens with an in-depth analysis of control solutions and sensorization features of research and commercially available prosthetic hands. P...

The Control of Tendon-Driven Dexterous Hands with Joint Simulation

An adaptive impedance control algorithm for tendon-driven dexterous hands is presented. The main idea of this algorithm is to compensate the output of the classical impedance control by an offset that is a proportion-integration-differentiation (PID) expression of force error. The adaptive impedance control can adjust the impedance parameters indirectly when the environment position and stiffne...

Leveraging Over Priors for Boosting Control of Prosthetic Hands

5