Task-space Separation Principle

Editors: Paolo Tommasino

Paperback ISBN: 978-981-13-4393-3(Published: 23 December 2018)

eBook ISBN: 978-981-13-0353-1(Published: 26 May 2018)

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.

  • Passive Motion Paradigm
  • Equilibrium Point Theory
  • Nonlinear 3D Rotations
  • Motor Redundancy
  • Human Motor Control
  • Postural Control
  • Postural Muscular Synergies
  • Mechanical Impedance
  • Wrist Movement
  • Wrist Pointing Tasks
  • Introduction
  • Background: Posture, Movement & Redundancy
  • Task-Space Separation Principle: A Force Field Approach to Posture and Movement Planning for Redundant Manipulators
  • Capturing Human-Like Postural Kinematic Synergies via Non-Linear Inverse Optimization
  • Assessment of Postural Muscular Synergies
  • Effects of Mechanical Impedance (Joint Stiffness and Damping) on Wrist Movement
  • Conclusion and Outlook

Laboratory of Neuromotor Physiology, IRCCS, Fondazione Santa Lucia, Rome, Italy

Paolo Tommasino

Book Title:Task-space Separation Principle

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

Authors:Paolo Tommasino

DOI:https://doi.org/10.1007/978-981-13-0353-1

eBook Packages:Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

Edition Number:1

Number of Pages:XVII, 105

Number of Illustrations:41 b/w illustrations, 7 illustrations in colour

Topics:Robotics and Automation, Vibration, Dynamical Systems, Control, Biological and Medical Physics, Biophysics

WhatsApp