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.
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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
Yuichi Kurita is an associate professor in the Department of Engineering of Hiroshima University. He is an expert in human factor analysis and physiological measurement in robotics and biomedicine, working on several research projects such as assistive suits for improving human's sensory/motor capabilities, affective evaluation of human interface, and medical applications of haptic modeling.
Intended to provide researchers both in academia and industry with key content on which to base their developments, this book presents the most cutting-edge research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications, organized and written by senior experts in their fields. Human Modeling for Bio-Inspired Robotics 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.
About the authors
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.
Yuichi Kurita is an Associate Professor at the Biological Systems Engineering Lab in the Department of System Cybernetics of Hiroshima University and has been Visiting Associate Professor at the Department of Mechanical Engineering of the State University of New York. He is an expert in human factor analysis and physiological measurement in robotics and biomedicine, working on several research projects such as Human Biomechanics Model and Product Usability Evaluation, and Medical Applications of Haptic Modeling.
"About this title" may belong to another edition of this title.
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