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

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) applicationsCovers background information and fundamental concepts of human modellingIncludes modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation, integration, and safety issuesAssumes previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing

PART 1: Introduction

PART 2: Modeling of human anatomical and musculoskeletal system/computational analysis of human movements

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   1. Modeling of Tendon Structure and Variable Moment Arms in Human Thumb Using a Robotic Thumb
   2. Statistical body shape modeling
   3. Review of Musculoskeletal Modeling of Human Movement for Rehabilitation Purposes

PART 3: Modeling of human neural and cognitive system/neural interface and decision making

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   identification.

    

    

    

    

    

    

    

    

   1. EMG-controlled Human-Robot Interfaces: A Hybrid Motion and Task Modeling Approach
   2. Personalized Modeling for Home-based Balance Rehabilitation
   3. Brain machine interfaces for wearable robots
   4. Human Intention Inference using Expectation-Maximization Algorithm with Online Model Learning
   5. Optimized control of different actuation strategies for FES and orthosis aided gait

PART 4: Modeling of motor skills and adaptation/haptics

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   1. Soft Wearable Robotics Technologies for Body Motion Sensing and Assistance
   2. Biomechatronic design of lightweight exoskeletons for assistive applications
   3. Psychological Modeling of Humans by Assistive Robots
   4. Adaptive human-robot physical interaction for robot co-workers