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.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. ix 6. Motivation - p. xi 7. About This Book - p. xiii 8. Part I: Modeling of Human Musculoskeletal System/Computational Analysis of Human Movements and Their Applications - p. xiv 9. Chapter One: Implementation of Human-Like Joint Stiffness in Robotics Hands for Improved Manipulation - p. xiv 10. Chapter Two: A Review of Computational Musculoskeletal Analysis of Human Lower Extremities - p. 35 11. Chapter Three: EMG-Controlled Human-Robot Interfaces: A Hybrid Motion and Task Modeling Approach - p. 73 12. Chapter Four: Personalized Modeling for Home-Based Postural Balance Rehabilitation - p. 109 13. Chapter Five: Modeling and Dynamic Optimization of a Hybrid Neuroprosthesis for Gait Restoration - p. 137 14. Chapter Six: Soft Wearable Robotics Technologies for Body Motion Sensing - p. 159 15. Part II: Modeling of Human Cognitive/Muscular Skills and Their Applications - p. 184 16. Chapter Seven: Noninvasive Brain Machine Interfaces for Assistive and Rehabilitation Robotics: A Review - p. 184 17. Chapter Eight: Intention Inference for Human-Robot Collaboration in Assistive Robotics - p. 216 18. Chapter Nine: Biomechanical HRI Modeling and Mechatronic Design of Exoskeletons for Assistive Applications - p. 249 19. Chapter Ten: Psychological Modeling of Humans by Assistive Robots - p. 272 20. Chapter Eleven: Adaptive Human-Robot Physical Interaction for Robot Coworkers - p. 296 21. Index - p. 335
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.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. ix 6. Motivation - p. xi 7. About This Book - p. xiii 8. Part I: Modeling of Human Musculoskeletal System/Computational Analysis of Human Movements and Their Applications - p. xiv 9. Chapter One: Implementation of Human-Like Joint Stiffness in Robotics Hands for Improved Manipulation - p. xiv 10. Chapter Two: A Review of Computational Musculoskeletal Analysis of Human Lower Extremities - p. 35 11. Chapter Three: EMG-Controlled Human-Robot Interfaces: A Hybrid Motion and Task Modeling Approach - p. 73 12. Chapter Four: Personalized Modeling for Home-Based Postural Balance Rehabilitation - p. 109 13. Chapter Five: Modeling and Dynamic Optimization of a Hybrid Neuroprosthesis for Gait Restoration - p. 137 14. Chapter Six: Soft Wearable Robotics Technologies for Body Motion Sensing - p. 159 15. Part II: Modeling of Human Cognitive/Muscular Skills and Their Applications - p. 184 16. Chapter Seven: Noninvasive Brain Machine Interfaces for Assistive and Rehabilitation Robotics: A Review - p. 184 17. Chapter Eight: Intention Inference for Human-Robot Collaboration in Assistive Robotics - p. 216 18. Chapter Nine: Biomechanical HRI Modeling and Mechatronic Design of Exoskeletons for Assistive Applications - p. 249 19. Chapter Ten: Psychological Modeling of Humans by Assistive Robots - p. 272 20. Chapter Eleven: Adaptive Human-Robot Physical Interaction for Robot Coworkers - p. 296 21. Index - p. 335
