Ueda / Kurita | Human Modeling for Bio-Inspired Robotics | E-Book | sack.de
E-Book

E-Book, Englisch, 358 Seiten

Ueda / Kurita Human Modeling for Bio-Inspired Robotics

Mechanical Engineering in Assistive Technologies
1. Auflage 2016
ISBN: 978-0-12-803152-0
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

Mechanical Engineering in Assistive Technologies

E-Book, Englisch, 358 Seiten

ISBN: 978-0-12-803152-0
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark



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

Jun Ueda is an Associate Professor at G.W.W. School of Mechanical Engineering at the Georgia Institute of Technology. He has published over 100 peer reviewed academic papers and is an expert in system dynamics, robust control in robotics and the development of sensing and actuation devices for industry and healthcare applications

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