Human and Robot Hands

Editors: Bianchi, Matteo, Moscatelli, Alessandro (Eds.)
Presents an integrated approach between neuroscience and robotics to understand the complex issue of sensorimotor control of the hand
Enriches the understanding of synergies as a framework for an efficient control of multi-element motor systems and for the analysis of hand motion and grasping
Provides useful tools for the effective design of artificial hands for the analysis of hand motion and grasping

This book looks at the common problems both human and robotic hands encounter when controlling the large number of joints, actuators and sensors required to efficiently perform motor tasks such as object exploration, manipulation and grasping. The authors adopt an integrated approach to explore the control of the hand based on sensorimotor synergies that can be applied in both neuroscience and robotics. Hand synergies are based on goal-directed, combined muscle and kinematic activation leading to a reduction of the dimensionality of the motor and sensory space, presenting a highly effective solution for the fast and simplified design of artificial systems.
Presented in two parts, the first part, Neuroscience, provides the theoretical and experimental foundations to describe the synergistic organization of the human hand. The second part, Robotics, Models and Sensing Tools, exploits the framework of hand synergies to better control and design robotic hands and haptic/sensing systems/tools, using a reduced number of control inputs/sensors, with the goal of pushing their effectiveness close to the natural one.
Human and Robot Hands provides a valuable reference for students, researchers and designers who are interested in the study and design of the artificial hand.

Number of Illustrations and Tables
31 b/w illustrations, 66 illustrations in colour
Topics
User Interfaces and Human Computer Interaction
Control , Robotics, Mechatronics
Neurosciences
Artificial Intelligence (incl. Robotics)

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