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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics

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Task-space Separation Principle - From Human Postural Synergies to Bio-inspired Motion Planning for Redundant Manipulators (Paperback, Softcover reprint of the original 1st ed. 2019) Loot Price: R2,927
Discovery Miles 29 270
Task-space Separation Principle - From Human Postural Synergies to Bio-inspired Motion Planning for Redundant Manipulators...

Task-space Separation Principle - From Human Postural Synergies to Bio-inspired Motion Planning for Redundant Manipulators (Paperback, Softcover reprint of the original 1st ed. 2019)

Paolo Tommasino

Series: Springer Theses

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Loot Price R2,927 Discovery Miles 29 270 | Repayment Terms: R274 pm x 12*

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This book addresses two fundamental issues of motor control for both humans and robots: kinematic redundancy and the posture/movement problem. It blends traditional robotic constrained-optimal approaches with neuroscientific and evidence-based principles, proposing a "Task-space Separation Principle," a novel scheme for planning both posture and movement in redundant manipulators. The proposed framework is first tested in simulation and then compared with experimental motor strategies displayed by humans during redundant pointing tasks. The book also shows how this model builds on and expands traditional formulations such as the Passive Motion Paradigm and the Equilibrium Point Theory. Lastly, breaking with the neuroscientific tradition of planar movements and linear(ized) kinematics, the theoretical formulation and experimental scenarios are set in the nonlinear space of 3D rotations which are essential for wrist motions, a somewhat neglected area despite its importance in daily tasks.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Springer Theses
Release date: December 2018
First published: 2019
Authors: Paolo Tommasino
Dimensions: 235 x 155 x 7mm (L x W x T)
Format: Paperback
Pages: 105
Edition: Softcover reprint of the original 1st ed. 2019
ISBN-13: 978-981-13-4393-3
Categories: Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > Dynamics & vibration
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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LSN: 981-13-4393-4
Barcode: 9789811343933

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