Algorithmic Foundations of Robotics XV [electronic resource] : Proceedings of the Fifteenth Workshop on the Algorithmic Foundations of Robotics / edited by Steven M. LaValle, Jason M. O'Kane, Michael Otte, Dorsa Sadigh, Pratap Tokekar.

Colaborador(es): LaValle, Steven M [editor.] | O'Kane, Jason M [editor.] | Otte, Michael [editor.] | Sadigh, Dorsa [editor.] | Tokekar, Pratap [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Springer Proceedings in Advanced Robotics ; 25Editor: Cham : Springer International Publishing : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XV, 558 p. 188 illus., 170 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031210907Tema(s): Control engineering | Robotics | Automation | Computational intelligence | Control, Robotics, Automation | Computational Intelligence | RoboticsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.8 Clasificación LoC:TJ212-225TJ210.2-211.495Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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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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.

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