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Titlebook: Software Engineering for Robotics; Ana Cavalcanti,Brijesh Dongol,Jim Woodcock Book 2021 Springer Nature Switzerland AG 2021 Software Engin

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發(fā)表于 2025-3-21 17:09:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Software Engineering for Robotics
編輯Ana Cavalcanti,Brijesh Dongol,Jim Woodcock
視頻videohttp://file.papertrans.cn/871/870856/870856.mp4
概述Presents techniques for robotics, related to model-based software engineering, product lines, mission specification, component-based development, simulation, testing, and verification.Includes example
圖書封面Titlebook: Software Engineering for Robotics;  Ana Cavalcanti,Brijesh Dongol,Jim Woodcock Book 2021 Springer Nature Switzerland AG 2021 Software Engin
描述.The topics covered in this book range from modeling and programming languages and environments, via approaches for design and verification, to issues of ethics and regulation. In terms of techniques, there are results on model-based engineering, product lines, mission specification, component-based development, simulation, testing, and proof. Applications range from manufacturing to service robots, to autonomous vehicles, and even robots than evolve in the real world.?A final chapter?summarizes issues on ethics and regulation based on discussions from a panel of experts..?.The origin of this book is a two-day event, entitled RoboSoft, that took place in November 2019, in London. Organized with the generous support of the Royal Academy of Engineering and the University of York, UK, RoboSoft brought together more than 100 scientists, engineers and practitioners from all over the world, representing 70 international institutions..?.Theintended readership includes researchers and practitioners with all levels of experience interested in working in the area of robotics, and software engineering more generally. The chapters are all self-contained, include explanations of the core concep
出版日期Book 2021
關(guān)鍵詞Software Engineering; Software Design; Software Verification; Software Testing; Software Quality Assuran
版次1
doihttps://doi.org/10.1007/978-3-030-66494-7
isbn_softcover978-3-030-66496-1
isbn_ebook978-3-030-66494-7
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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,RoboStar Technology: A Roboticist’s Toolbox for Combined Proof, Simulation, and Testing,ration for simulation. Diagrammatic domain-specific, but tool-independent, notations for design and simulation use state machines, differential equations, and controlled English to specify behavior. We illustrate the RoboStar approach using an autonomous vehicle as an example.
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Software Product Line Engineering for Robotics,ough to easily accommodate frequently changing requirements. In various application domains, software product line (SPL) development has proven to be the most effective approach to achieving software flexibility and to face this kind of challenges..This chapter reviews the fundamental concepts in SP
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Towards Autonomous Robot Evolution,e that such systems offer significant potential for advancing both science and engineering. For science, evolving robots can be used to investigate fundamental issues about evolution and the emergence of embodied intelligence. For engineering, artificial evolution can be used as a tool that produces
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Robot Accident Investigation: A Case Study in Responsible Robotics,ation of social robots is now becoming commonplace. Equipped with sophisticated embedded artificial intelligence (AI), social robots might be deployed as care robots to assist elderly or disabled people to live independently. Smart robot toys offer a compelling interactive play experience for childr
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