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000753969 020__ $$a9783319267067$$q(electronic book)
000753969 020__ $$a331926706X$$q(electronic book)
000753969 020__ $$z9783319267050
000753969 0247_ $$a10.1007/978-3-319-26706-7$$2doi
000753969 035__ $$aSP(OCoLC)ocn941134338
000753969 035__ $$aSP(OCoLC)941134338
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000753969 050_4 $$aTJ211.43
000753969 08204 $$a629.8/933$$223
000753969 24500 $$aHuman and robot hands$$h[electronic resource] :$$bsensorimotor synergies to bridge the gap between neuroscience and robotics /$$cMatteo Bianchi, Alessandro Moscatelli, editors.
000753969 264_1 $$aCham :$$bSpringer,$$c2016.
000753969 300__ $$a1 online resource (xi, 283 pages) :$$billustrations.
000753969 336__ $$atext$$btxt$$2rdacontent
000753969 337__ $$acomputer$$bc$$2rdamedia
000753969 338__ $$aonline resource$$bcr$$2rdacarrier
000753969 4901_ $$aSpringer series on touch and haptic systems,$$x2192-2977
000753969 5050_ $$aIntroduction -- Part I: Neuroscience -- Dexterous Manipulation: From High-level Representation to Low-level Co-ordination of Digit Force and Position -- Digit Position and Force Synergies During Unconstrained Grasping -- The Motor Control of Hand Movements in the Human Brain: Toward the Definition of a Cortical Representation of Postural Synergies -- Synergy Control in Subcortical Circuitry: Insights from Neurophysiology -- Neuronal "Op-Amps" Implement Adaptive control in Biology and Robotics -- Sensorimotor Synergies:Fusion of Cutaneous Touch and Proprioception in the Perceived Hand Kinematics -- Part II: Robotics, Models and Sensing Tools -- From Soft to Adaptive Synergies:The PISA/IIT Softhand -- A Learn by Demonstration Approach for Closed-loop Robust Anthromorphic Grasp Planning -- Teleimpudance Control: Overview and Application -- Incremental Learning of Muscle Synergies:From Calibrating a Prothesis to Interacting with it -- How to Map Human Hand Synergies onto Robotic Hands Using the Syngrasp Matlab Toolbox -- Quasi-static Analysis of Synergistically Underactuated Robotic Hands in Grasp and Manipulation Tasks -- A simple Model of the Hand for the Analysis of Object Exploration -- Synergy-based Optimal Sensing Techniques for Hand Pose Reconstruction.
000753969 506__ $$aAccess limited to authorized users.
000753969 520__ $$aThis book looks at the common problems both human and robotic hands encounter when controlling the large number of joints, actuators and sensors required to efficiently perform motor tasks such as object exploration, manipulation and grasping. The authors adopt an integrated approach to explore the control of the hand based on sensorimotor synergies that can be applied in both neuroscience and robotics. Hand synergies are based on goal-directed, combined muscle and kinematic activation leading to a reduction of the dimensionality of the motor and sensory space, presenting a highly effective solution for the fast and simplified design of artificial systems. Presented in two parts, the first part, Neuroscience, provides the theoretical and experimental foundations to describe the synergistic organization of the human hand. The second part, Robotics, Models and Sensing Tools, exploits the framework of hand synergies to better control and design robotic hands and haptic/sensing systems/tools, using a reduced number of control inputs/sensors, with the goal of pushing their effectiveness close to the natural one. Human and Robot Hands provides a valuable reference for students, researchers and designers who are interested in the study and design of the artificial hand.
000753969 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 1, 2016).
000753969 650_0 $$aRobot hands.
000753969 7001_ $$aBianchi, Matteo,$$eeditor.
000753969 7001_ $$aMoscatelli, Alessandro,$$eeditor.
000753969 77608 $$iPrint version:$$z9783319267050
000753969 830_0 $$aSpringer series on touch and haptic systems.
000753969 852__ $$bebk
000753969 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-26706-7$$zOnline Access$$91397441.1
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