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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 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Algorithmic foundations of robotics XV/ edited by Steven M. LaValle ... [et al.].
Reminder of title:
proceedings of the fifteenth workshop on the algorithmic foundations of robotics /
other author:
LaValle, Steven Michael.
corporate name:
Workshop on the Algorithmic Foundations of Robotics
Published:
Cham :Springer International Publishing : : 2023.,
Description:
xv, 558 p. :ill., digital ;24 cm.
[NT 15003449]:
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
Subject:
Robotics - Congresses. -
Online resource:
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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Intelligent Technologies and Robotics (SpringerNature-42732)
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EB TJ210.3 .W67 2022
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