Human and Robot Hands

Sensorimotor Synergies to Bridge the Gap Between Neuroscience and Robotics

Nonfiction, Science & Nature, Technology, Automation, Computers, Advanced Computing, Programming, User Interfaces, General Computing
Cover of the book Human and Robot Hands by , Springer International Publishing
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Author: ISBN: 9783319267067
Publisher: Springer International Publishing Publication: February 24, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319267067
Publisher: Springer International Publishing
Publication: February 24, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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