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Titlebook: Distributed Autonomous Robotic Systems; The 14th Internation Nikolaus Correll,Mac Schwager,Michael Otte Conference proceedings 2019 Springe

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书目名称Distributed Autonomous Robotic Systems
副标题The 14th Internation
编辑Nikolaus Correll,Mac Schwager,Michael Otte
视频video
概述Presents the state of the art in distributed autonomous systems.Scientific outcome of the 14th International Symposium on Distributed Autonomous Robotic Systems (DARS 2018) held in Boulder, USA, 15-17
丛书名称Springer Proceedings in Advanced Robotics
图书封面Titlebook: Distributed Autonomous Robotic Systems; The 14th Internation Nikolaus Correll,Mac Schwager,Michael Otte Conference proceedings 2019 Springe
描述.This volume of the SPAR series brings the proceedings of the fourteen edition of the DARS symposium on Distributed Autonomous Robotic Systems, whose proceedings have been published within SPAR since the past edition. This symposium took place in Boulder, CO from October 15th to 17th, 2018. The volume edited by Nikolaus Correll and Mac Schwager contains 36 scientific contributions cutting across planning, control, design, perception, networking, and optimization, all united through the common thread of distributed robotic systems..
出版日期Conference proceedings 2019
关键词DARS 2018; Swarm Intelligence; Distributed Robotics; multi-robot systems; multi-robot teams; multi-agent
版次1
doihttps://doi.org/10.1007/978-3-030-05816-6
isbn_ebook978-3-030-05816-6Series ISSN 2511-1256 Series E-ISSN 2511-1264
issn_series 2511-1256
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Springer Nature Switzerland AG 2019
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Springer Proceedings in Advanced Roboticshttp://image.papertrans.cn/e/image/281747.jpg
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Arman Avadikyan,Philippe Larrues a global localization system, researchers have focused on bearing-based consensus controllers, but most assumed that measurements from sensors (e.g., vision) are noise-free. In this paper, we propose to use wireless signal measurements to estimate the direction of arrival (relative bearings) of ne
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Arman Avadikyan,Philippe Larruerithm to enable multiple agents to learn a homogeneous, distributed policy, where agents work together toward a common goal without explicitly interacting. Our approach relies on centralized policy and critic learning, but decentralized policy execution, in a fully-observable system. We show that th
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Bernadette N. Kumar,Allan Krasnik. All previous effort, both empirical and theoretical, has focused on the problems of designing either controllers or environments which, in tandem with given environments or controllers, built the specified structures. In this paper, we give the results of the first computational and parameterized
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Victoria Vernon,Klaus F. Zimmermannming at making this process easier and more interactive. Our solution mixes self-reconfigurable autonomous robots forming programmable matter and a shape-memory polymer surface that produces an interactive model of the desired object. We propose a global algorithm to manage the interactions with the
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