Task-space Separation Principle

From Human Postural Synergies to Bio-inspired Motion Planning for Redundant Manipulators

Nonfiction, Science & Nature, Technology, Robotics, Engineering, Mechanical
Cover of the book Task-space Separation Principle by Paolo Tommasino, Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Paolo Tommasino ISBN: 9789811303531
Publisher: Springer Singapore Publication: May 26, 2018
Imprint: Springer Language: English
Author: Paolo Tommasino
ISBN: 9789811303531
Publisher: Springer Singapore
Publication: May 26, 2018
Imprint: Springer
Language: English

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.

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

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.

More books from Springer Singapore

Cover of the book Islamic Perspectives on Science and Technology by Paolo Tommasino
Cover of the book The Changing Japanese Labor Market by Paolo Tommasino
Cover of the book The House of Tata Meets the Second Industrial Revolution by Paolo Tommasino
Cover of the book Managing with Humor by Paolo Tommasino
Cover of the book Teaching Language and Teaching Literature in Virtual Environments by Paolo Tommasino
Cover of the book Movement, Time, Technology, and Art by Paolo Tommasino
Cover of the book AI Applications in Sheet Metal Forming by Paolo Tommasino
Cover of the book Issues in Indian Public Policies by Paolo Tommasino
Cover of the book Technology in Education. Innovative Solutions and Practices by Paolo Tommasino
Cover of the book Geo-Spatial Knowledge and Intelligence by Paolo Tommasino
Cover of the book Rethinking Cultural-Historical Theory by Paolo Tommasino
Cover of the book Corporal Punishment in Rural Schools by Paolo Tommasino
Cover of the book Gender and Islam in Indonesian Cinema by Paolo Tommasino
Cover of the book Digital Signal Processing with Matlab Examples, Volume 2 by Paolo Tommasino
Cover of the book Domain Specific High-Level Synthesis for Cryptographic Workloads by Paolo Tommasino
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy