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000779321 019__ $$a981776813
000779321 020__ $$a9783319405339$$q(electronic book)
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000779321 0247_ $$a10.1007/978-3-319-40533-9$$2doi
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000779321 08204 $$a629.8/924019$$223
000779321 24500 $$aTrends in control and decision-making for human-robot collaboration systems /$$cYue Wang, Fumin Zhang, editors.
000779321 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000779321 300__ $$a1 online resource.
000779321 336__ $$atext$$btxt$$2rdacontent
000779321 337__ $$acomputer$$bc$$2rdamedia
000779321 338__ $$aonline resource$$bcr$$2rdacarrier
000779321 347__ $$atext file$$bPDF$$2rda
000779321 504__ $$aIncludes bibliographical references and index.
000779321 5050_ $$aIntroduction -- Part I: One-Human?One-Robot Collaboration -- Human?Robot Cooperative Control of a Redundant Dual-Arm Mobile Manipulator -- Assistive Optimal Control-on-Request with an Application in Standing Balance Control and Reinforcement -- A Learning Algorithm to Select Consistent Reactions to Human Movements -- Continuous Switchings between Trajectory Tracking and Force Minimization in Human-Robot Collaboration -- Estimating Human Intention during a Human-Robot Cooperative Task Based on the Internal Force Model -- Part II: One-Human?Multiple-Robot Collaboration -- Shared-Control for the Kinematic Model of a group of Rear-Wheel Drive Cars -- An Intelligent Human?Robot Interaction System Using Reinforcement Learning and Neural Networks -- Regret-Based Decision-Making for Human?Robot Collaborative Assembly in Manufacturing -- Designing Robot Behavior for Safe Human?Robot Interactions -- To Ask or Not to Ask: A Foundation for the Optimization of Human?Robot Collaborations -- Part III: Human?Swarm Collaboration -- Mutual Trust-based Co-Design of Control and Scheduling for Human-Swarm Collaboration -- Human-Swarm Interactions via Coverage of Time-Varying Densities -- A Passivity-Based Approach to Human?Swarm Interactions and Passivity Analysis of Human Operators.
000779321 506__ $$aAccess limited to authorized users.
000779321 520__ $$aThis book provides an overview of recent research developments in the automation and control of robotic systems that collaborate with humans. A measure of human collaboration being necessary for the optimal operation of any robotic system, the contributors exploit a broad selection of such systems to demonstrate the importance of the subject, particularly where the environment is prone to uncertainty or complexity. They show how such human strengths as high-level decision-making, flexibility, and dexterity can be combined with robotic precision, and ability to perform task repetitively or in a dangerous environment. The book focuses on quantitative methods and control design for guaranteed robot performance and balanced human experience. Its contributions develop and expand upon material presented at various international conferences. They are organized into three parts covering: one-human?one-robot collaboration; one-human?multiple-robot collaboration; and human?swarm collaboration. Individual topic areas include resource optimization (human and robotic), safety in collaboration, abstraction of swarm systems to make them suitable for human control, modeling and control of internal force interactions for collaborative manipulation, and the sharing of control between human and automated systems, etc. Control and decision algorithms feature prominently in the text, importantly within the context of human factors and the constraints they impose. Applications such as assistive technology, driverless vehicles, cooperative mobile robots, and swarm robots are considered. Illustrative figures and tables are provided throughout the book. Researchers and students working in controls, and the interaction of humans and robots will learn new methods for human?robot collaboration from this book and will find the cutting edge of the subject described in depth.
000779321 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 13, 2017).
000779321 650_0 $$aHuman-robot interaction.
000779321 650_0 $$aDecision support systems.
000779321 650_0 $$aMachine learning.
000779321 7001_ $$aWang, Yue,$$eeditor.
000779321 7001_ $$aZhang, Fumin,$$eeditor.
000779321 77608 $$iPrint version:$$z9783319405322
000779321 852__ $$bebk
000779321 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-40533-9$$zOnline Access$$91397441.1
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