Trends in control and decision-making for human-robot collaboration systems / Yue Wang, Fumin Zhang, editors.
Wang, Yue, editor.; Zhang, Fumin, editor.
2017
TJ211.49
Available Online

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Title Trends in control and decision-making for human-robot collaboration systems / Yue Wang, Fumin Zhang, editors.
ISBN 9783319405339 (electronic book)
3319405330 (electronic book)
9783319405322
DOI https://doi.org/10.1007/978-3-319-40533-9
Published Cham, Switzerland : Springer, 2017.
Language English
Description 1 online resource.
Item Number 10.1007/978-3-319-40533-9 doi
Call Number TJ211.49
Dewey Decimal Classification 629.8/924019
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 13, 2017).
Added Author Wang, Yue, editor.
Zhang, Fumin, editor.
Available in Other Form Print version: 9783319405322
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Record Appears in Online Resources > Ebooks
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Introduction
Part I: One-Human?One-Robot Collaboration
Human?Robot Cooperative Control of a Redundant Dual-Arm Mobile Manipulator
Assistive Optimal Control-on-Request with an Application in Standing Balance Control and Reinforcement
A Learning Algorithm to Select Consistent Reactions to Human Movements
Continuous Switchings between Trajectory Tracking and Force Minimization in Human-Robot Collaboration
Estimating Human Intention during a Human-Robot Cooperative Task Based on the Internal Force Model
Part II: One-Human?Multiple-Robot Collaboration
Shared-Control for the Kinematic Model of a group of Rear-Wheel Drive Cars
An Intelligent Human?Robot Interaction System Using Reinforcement Learning and Neural Networks
Regret-Based Decision-Making for Human?Robot Collaborative Assembly in Manufacturing
Designing Robot Behavior for Safe Human?Robot Interactions
To Ask or Not to Ask: A Foundation for the Optimization of Human?Robot Collaborations
Part III: Human?Swarm Collaboration
Mutual Trust-based Co-Design of Control and Scheduling for Human-Swarm Collaboration
Human-Swarm Interactions via Coverage of Time-Varying Densities
A Passivity-Based Approach to Human?Swarm Interactions and Passivity Analysis of Human Operators.

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