Instantaneous Multi-sensor Task Allocation in Static and Dynamic Environments

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Release : 2011
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Instantaneous Multi-sensor Task Allocation in Static and Dynamic Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Instantaneous Multi-sensor Task Allocation in Static and Dynamic Environments write by Diego Pizzocaro. This book was released on 2011. Instantaneous Multi-sensor Task Allocation in Static and Dynamic Environments available in PDF, EPUB and Kindle. A sensor network often consists of a large number of sensing devices of different types. Upon deployment in the field, these sensing devices form an ad hoc network using wireless links or cables to communicate with each other. Sensor networks are increasingly used to support emergency responders in the field usually requiring many sensing tasks to be supported at the same time. By a sensing task we mean any job that requires some amount of sensing resources to be accomplished such as localizing persons in need of help or detecting an event. Tasks might share the usage of a sensor, but more often compete to exclusively control it because of the limited number of sensors and overlapping needs with other tasks. Sensors are in fact scarce and in high demand. In such cases, it might not be possible to satisfy the requirements of all tasks using available sensors. Therefore, the fundamental question to answer is: "Which sensor should be allocated to which task?", which summarizes the Multi-Sensor Task Allocation (MSTA) problem. We focus on a particular MSTA instance where the environment does not provide enough information to plan for future allocations constraining us to perform instantaneous allocation. We look at this problem in both static setting, where all task requests from emergency responders arrive at once, and dynamic setting, where tasks arrive and depart over time. We provide novel solutions based on centralized and distributed approaches. We evaluate their performance using mainly simulations on randomly generated problem instances; moreover, for the dynamic setting, we consider also feasibility of deploying part of the distributed allocation system on user mobile devices. Our solutions scale well with different number of task requests and manage to improve the utility of the network, prioritizing the most important tasks.

Distributed Heterogeneous Multi Sensor Task Allocation Systems

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Release : 2019-11-25
Genre : Technology & Engineering
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Book Rating : 354/5 ( reviews)

Distributed Heterogeneous Multi Sensor Task Allocation Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Distributed Heterogeneous Multi Sensor Task Allocation Systems write by Itshak Tkach. This book was released on 2019-11-25. Distributed Heterogeneous Multi Sensor Task Allocation Systems available in PDF, EPUB and Kindle. Today’s real-world problems and applications in sensory systems and target detection require efficient, comprehensive and fault-tolerant multi-sensor allocation. This book presents the theory and applications of novel methods developed for such sophisticated systems. It discusses the advances in multi-agent systems and AI along with collaborative control theory and tools. Further, it examines the formulation and development of an allocation framework for heterogeneous multi-sensor systems for various real-world problems that require sensors with different performances to allocate multiple tasks, with unknown a priori priorities that arrive at unknown locations at unknown time. It demonstrates how to decide which sensor to allocate to which tasks when and where. Lastly, it explains the reliability and availability issues of task allocation systems, and includes methods for their optimization. The presented methods are explained, measured, and evaluated by extensive simulations, and the results of these simulations are presented in this book. This book is an ideal resource for academics, researchers and graduate students as well as engineers and professionals and is relevant for various applications such as sensor network design, multi-agent systems, task allocation, target detection, and team formation.

Towards Autonomous Robotic Systems

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Release : 2015-07-17
Genre : Computers
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Book Rating : 166/5 ( reviews)

Towards Autonomous Robotic Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Towards Autonomous Robotic Systems write by Clare Dixon. This book was released on 2015-07-17. Towards Autonomous Robotic Systems available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 16th Annual Conference on Towards Autonomous Robotics, TAROS 2015, held in Liverpool UK, in September 2015. The 16 revised full papers presented together with 18 short papers were carefully reviewed and selected from 59 submissions. The overall program covers various aspects of robotics, including navigation, planning, sensing and perception, flying and swarm robots, ethics, humanoid robotics, human-robot interaction, and social robotics.

Cooperative Robots and Sensor Networks 2015

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Release : 2015-05-18
Genre : Technology & Engineering
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Book Rating : 994/5 ( reviews)

Cooperative Robots and Sensor Networks 2015 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cooperative Robots and Sensor Networks 2015 write by Anis Koubâa. This book was released on 2015-05-18. Cooperative Robots and Sensor Networks 2015 available in PDF, EPUB and Kindle. This book compiles some of the latest research in cooperation between robots and sensor networks. Structured in twelve chapters, this book addresses fundamental, theoretical, implementation and experimentation issues. The chapters are organized into four parts namely multi-robots systems, data fusion and localization, security and dependability, and mobility.

Introduction to AI Robotics, second edition

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Release : 2019-10-01
Genre : Computers
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Book Rating : 48X/5 ( reviews)

Introduction to AI Robotics, second edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to AI Robotics, second edition write by Robin R. Murphy. This book was released on 2019-10-01. Introduction to AI Robotics, second edition available in PDF, EPUB and Kindle. A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications. This textbook offers a comprehensive survey of artificial intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an artificially intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities. This second edition is a major expansion and reorganization of the first edition, reflecting the dramatic advances made in AI over the past fifteen years. An introductory overview provides a framework for thinking about AI for robotics, distinguishing between the fundamentally different design paradigms of automation and autonomy. The book then discusses the reactive functionality of sensing and acting in AI robotics; introduces the deliberative functions most often associated with intelligence and the capability of autonomous initiative; surveys multi-robot systems and (in a new chapter) human-robot interaction; and offers a “metaview” of how to design and evaluate autonomous systems and the ethical considerations in doing so. New material covers locomotion, simultaneous localization and mapping, human-robot interaction, machine learning, and ethics. Each chapter includes exercises, and many chapters provide case studies. Endnotes point to additional reading, highlight advanced topics, and offer robot trivia.