Collaboration Systems


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Collaboration Systems


Collaboration Systems

Author: Jay F Nunamaker Jr

language: en

Publisher: Routledge

Release Date: 2015-09-16


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This volume emphasises knowledge transfer from the lab to the field and describes collaboration technology through three lenses: Proof of Concept, Proof of Value, and Proof of Use. The contributors focus on work practices that extend collaboration into a structured form where groups can work together to solve real-world complex problems. As with the other AMIS volumes, the contributors comprise internationally known experts in the field of Information Systems. Includes online access.

Ubiquitous Mobile Information and Collaboration Systems


Ubiquitous Mobile Information and Collaboration Systems

Author: Luciano Baresi

language: en

Publisher: Springer

Release Date: 2005-03-01


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Over recent years most business processes have changed in various dimensions (e. g. , ?exibility, interconnectivity, coordination style, autonomy) due to market conditions, organizational models, and usage scenarios of information systems. Frequently, inf- mationisrelocatedwithinageographicallydistributedsystemaccordingtorulesthatare only seldom de?ned as a well-codi?ed business process. This creates the need for a so- ware infrastructure that enables ubiquitous mobile and collaboration systems (UMICS). The anywhere/anytime/any means paradigm is becoming the major challenge in conceiving, designing, and releasing next-generation information systems. New te- nologies, like wi-? networks and 3rd-generation mobile phones, are offering the infr- tructure to conceive of information systems as ubiquitous information systems, that is, systems that are accessible from anywhere, at any time, and with any device. Ubiquity is not yet another buzzword pushed by emerging technologies, but is mainly a means to support new business models and encourage new ways of working. This new wave of UMICS will exploit the knowledge developed and deployed for conventional infor- tion systems, but will also need new concepts, models, methodologies, and supporting technologies to fully exploit the potentials of the enabling infrastructure and to be ready for the challenge. Moreover, people need to move across organizational boundaries and collaborate with others within an organization as well as between organizations. The ability to query the company’s distributed knowledge base and to cooperate with co-workers is still a requirement, but mobility brings new access scenarios and higher complexity.

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


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

Author: Yue Wang

language: en

Publisher: Springer

Release Date: 2017-01-24


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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 from both physical human-robot interaction and social human-robot interaction. 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, human trust in robot and decision-making when collaborating with robots, 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-making 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, manufacturing 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.