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Algorithmic Foundations of Robotics XV

Om Algorithmic Foundations of Robotics XV

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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  • Språk:
  • Engelsk
  • ISBN:
  • 9783031210921
  • Bindende:
  • Paperback
  • Sider:
  • 576
  • Utgitt:
  • 16. desember 2023
  • Utgave:
  • 23001
  • Dimensjoner:
  • 155x31x235 mm.
  • Vekt:
  • 861 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 29. november 2024

Beskrivelse av Algorithmic Foundations of Robotics XV

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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