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Algorithmic foundations of robotics ...
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Workshop on the Algorithmic Foundations of Robotics (2022 :)
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Algorithmic foundations of robotics XV = proceedings of the fifteenth workshop on the algorithmic foundations of robotics /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Algorithmic foundations of robotics XV/ edited by Steven M. LaValle ... [et al.].
其他題名:
proceedings of the fifteenth workshop on the algorithmic foundations of robotics /
其他作者:
LaValle, Steven Michael.
團體作者:
Workshop on the Algorithmic Foundations of Robotics
出版者:
Cham :Springer International Publishing : : 2023.,
面頁冊數:
xv, 558 p. :ill., digital ;24 cm.
內容註:
Parametrized Motion Planning and Topological Complexity -- A New Application of Discrete Morse Theory to Optimizing Safe Motion Planning Paths -- Design Space Exploration for Sampling-Based Motion Planning Programs with Combinatory Logic Synthesis -- Large-scale Heterogeneous Multi-Robot Coverage via Domain Decomposition and Generative Allocation -- Efficient Motion Planning under Obstacle Uncertainty with Local Dependencies -- Distributed Spacing Control for Multiple, Buoyancy-controlled Underwater Robots.
Contained By:
Springer Nature eBook
標題:
Robotics - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-21090-7
ISBN:
9783031210907
Algorithmic foundations of robotics XV = proceedings of the fifteenth workshop on the algorithmic foundations of robotics /
Algorithmic foundations of robotics XV
proceedings of the fifteenth workshop on the algorithmic foundations of robotics /[electronic resource] :edited by Steven M. LaValle ... [et al.]. - Cham :Springer International Publishing :2023. - xv, 558 p. :ill., digital ;24 cm. - Springer proceedings in advanced robotics,252511-1264 ;. - Springer proceedings in advanced robotics ;25..
Parametrized Motion Planning and Topological Complexity -- A New Application of Discrete Morse Theory to Optimizing Safe Motion Planning Paths -- Design Space Exploration for Sampling-Based Motion Planning Programs with Combinatory Logic Synthesis -- Large-scale Heterogeneous Multi-Robot Coverage via Domain Decomposition and Generative Allocation -- Efficient Motion Planning under Obstacle Uncertainty with Local Dependencies -- Distributed Spacing Control for Multiple, Buoyancy-controlled Underwater Robots.
This book includes significant recent research on robotic algorithms. It has been written by leading experts in the field. The 15th Workshop on the Algorithmic Foundations of Robotics (WAFR) was held on June 22-24, 2022, at the University of Maryland, College Park, Maryland. Each chapter represents an exciting state-of-the-art development in robotic algorithms that was presented at this 15th incarnation of WAFR. Different chapters combine ideas from a wide variety of fields, spanning and combining planning (for tasks, paths, motion, navigation, coverage, and patrol), computational geometry and topology, control theory, machine learning, formal methods, game theory, information theory, and theoretical computer science. Many of these papers explore new and interesting problems and problem variants that include human-robot interaction, planning and reasoning under uncertainty, dynamic environments, distributed decision making, multi-agent coordination, and heterogeneity.
ISBN: 9783031210907
Standard No.: 10.1007/978-3-031-21090-7doiSubjects--Topical Terms:
649569
Robotics
--Congresses.
LC Class. No.: TJ210.3 / .W67 2022
Dewey Class. No.: 629.892
Algorithmic foundations of robotics XV = proceedings of the fifteenth workshop on the algorithmic foundations of robotics /
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This book includes significant recent research on robotic algorithms. It has been written by leading experts in the field. The 15th Workshop on the Algorithmic Foundations of Robotics (WAFR) was held on June 22-24, 2022, at the University of Maryland, College Park, Maryland. Each chapter represents an exciting state-of-the-art development in robotic algorithms that was presented at this 15th incarnation of WAFR. Different chapters combine ideas from a wide variety of fields, spanning and combining planning (for tasks, paths, motion, navigation, coverage, and patrol), computational geometry and topology, control theory, machine learning, formal methods, game theory, information theory, and theoretical computer science. Many of these papers explore new and interesting problems and problem variants that include human-robot interaction, planning and reasoning under uncertainty, dynamic environments, distributed decision making, multi-agent coordination, and heterogeneity.
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