Trends in Control and Decision-Making for Human–Robot Collaboration Systems

  • Yue Wang
  • Fumin Zhang

Table of contents

  1. Front Matter
    Pages i-xix
  2. Yue Wang, Fumin Zhang
    Pages 1-13
  3. Jingjing Jiang, Alessandro Astolfi
    Pages 15-40
  4. Anastasia Mavrommati, Alex Ansari, Todd D. Murphey
    Pages 131-151
  5. Hamidreza Modares, Isura Ranatunga, Bakur AlQaudi, Frank L. Lewis, Dan O. Popa
    Pages 153-176
  6. José Ramón Medina, Tamara Lorenz, Sandra Hirche
    Pages 207-240
  7. Changliu Liu, Masayoshi Tomizuka
    Pages 241-270
  8. Yancy Diaz-Mercado, Sung G. Lee, Magnus Egerstedt
    Pages 357-385
  9. Back Matter
    Pages 415-418

About this book

Introduction

This book provides an overview of recent research developments in the automation and control of robotic systems that collaborate with humans. A measure of human collaboration being necessary for the optimal operation of any robotic system, the contributors exploit a broad selection of such systems to demonstrate the importance of the subject, particularly where the environment is prone to uncertainty or complexity. They show how such human strengths as high-level decision-making, flexibility, and dexterity can be combined with robotic precision, and ability to perform task repetitively or in a dangerous environment.

The book focuses on quantitative methods and control design for guaranteed robot performance and balanced human experience. Its contributions develop and expand upon material presented at various international conferences. They are organized into three parts covering:

  • one-human–one-robot collaboration;
  • one-human–multiple-robot collaboration; and
  • human–swarm collaboration.

Individual topic areas include resource optimization (human and robotic), safety in collaboration, abstraction of swarm systems to make them suitable for human control, modeling and control of internal force interactions for collaborative manipulation,  and the sharing of control between human and automated systems, etc. Control and decision algorithms feature prominently in the text, importantly within the context of human factors and the constraints they impose. Applications such as assistive technology, driverless vehicles, cooperative mobile robots, and swarm robots are considered. Illustrative figures and tables are provided throughout the book.

Researchers and students working in controls, and the interaction of humans and robots will learn new methods for human–robot collaboration from this book and will find the cutting edge of the subject described in depth.

Keywords

Human–Robot Collaboration Human–Robot Interaction Human-in-the-loop Control Robotic Control and Manufacturing Automation Multi-Robot Cooperation

Editors and affiliations

  • Yue Wang
    • 1
  • Fumin Zhang
    • 2
  1. 1.Department of Mechanical EngineeringClemson UniversityClemsonUSA
  2. 2.School of Electrical and Computer EngineeringGeorgia Institute of TechnologyAtlantaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-40533-9
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-40532-2
  • Online ISBN 978-3-319-40533-9
  • About this book