Algorithmic Foundations of Robotics XV

Steven M. Lavalle

ISBN 10: 3031210891 / ISBN 13: 9783031210891

Published by Springer International Publishing, Springer International Publishing Dez 2022, 2022

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 576 pp. Englisch.

Seller Inventory # 9783031210891

Bibliographic Details

• Title: Algorithmic Foundations of Robotics XV
• Publisher: Springer International Publishing, Springer International Publishing Dez 2022
• Publication Date: 2022
• Language: English
• ISBN 10: 3031210891
• ISBN 13: 9783031210891
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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.