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Human Modeling for Bio-Inspired Robotics: Mechanical Engineering in Assistive Technologies

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by Jun Ueda & Yuichi Kurita
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Human Modeling for Bio-Inspired Robotics: Mechanical Engineering in Assistive Technologies by Jun Ueda & Yuichi Kurita

Human Modelling for Bio-inspired Robotics: Mechanical Engineering in Assistive Technologies presents the most cutting-edge research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications. Intended to provide researchers both in academia and industry with key content on which to base their developments, this book is organized and written by senior experts in their fields.

Human Modeling for Bio-Inspired Robotics: Mechanical Engineering in Assistive Technologies offers a system-level investigation into human mechanisms that inspire the development of assistive technologies and humanoid robotics, including topics in modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation and integration. Each chapter is written by a subject expert and discusses its background, research challenges, key outcomes, application, and future trends.

This book will be especially useful for academic and industry researchers in this exciting field, as well as graduate-level students to bring them up to speed with the latest technology in mechanical design and control aspects of the area. Previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing is assumed.

  • Presents the most recent research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications
  • Covers background information and fundamental concepts of human modelling
  • Includes modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation, integration, and safety issues
  • Assumes previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing

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Ebook Details
Pages: 358
Size: 47.8 MB
Publisher: Academic Press
Date published:   2016
ISBN: 2370007620166 (DRM-EPUB)
9780128031520 (DRM-PDF)

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09/27/2016
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