Human and Robot Hands Sensorimotor Synergies to Bridge the Gap Between Neuroscience and Robotics /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bianchi, Matteo (Επιμελητής έκδοσης), Moscatelli, Alessandro (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Springer Series on Touch and Haptic Systems,
• Θέματα: Computer science.; Neurosciences.; User interfaces (Computer systems).; Artificial intelligence.; Control engineering.; Robotics.; Mechatronics.; Computer Science.; User Interfaces and Human Computer Interaction.; Control, Robotics, Mechatronics.; Artificial Intelligence (incl. Robotics).

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...

Πίνακας περιεχομένων:

• Introduction
• Part I: Neuroscience
• Dexterous Manipulation: From High-level Representation to Low-level Co-ordination of Digit Force and Position
• Digit Position and Force Synergies During Unconstrained Grasping
• The Motor Control of Hand Movements in the Human Brain: Toward the Definition of a Cortical Representation of Postural Synergies
• Synergy Control in Subcortical Circuitry: Insights from Neurophysiology
• Neuronal "Op-Amps" Implement Adaptive control in Biology and Robotics
• Sensorimotor Synergies:Fusion of Cutaneous Touch and Proprioception in the Perceived Hand Kinematics
• Part II: Robotics, Models and Sensing Tools
• From Soft to Adaptive Synergies:The PISA/IIT Softhand
• A Learn by Demonstration Approach for Closed-loop Robust Anthromorphic Grasp Planning
• Teleimpudance Control: Overview and Application
• Incremental Learning of Muscle Synergies:From Calibrating a Prothesis to Interacting with it
• How to Map Human Hand Synergies onto Robotic Hands Using the Syngrasp Matlab Toolbox
• Quasi-static Analysis of Synergistically Underactuated Robotic Hands in Grasp and Manipulation Tasks
• A simple Model of the Hand for the Analysis of Object Exploration
• Synergy-based Optimal Sensing Techniques for Hand Pose Reconstruction.