Distributed Autonomous Robotic Systems: 16th International Symposium: Springer Proceedings in Advanced Robotics, cartea 28
Editat de Julien Bourgeois, Jamie Paik, Benoît Piranda, Justin Werfel, Sabine Hauert, Alyssa Pierson, Heiko Hamann, Tin Lun Lam, Fumitoshi Matsuno, Negar Mehr, Abdallah Makhoulen Limba Engleză Hardback – feb 2024
The contributions are covering a broad scope of topics within distributed robotics including mobile sensor networks, unmanned aerial vehicles, multi-agent systems, algorithms for multi-robot systems, modular robots, swarm robotics, and reinforcement learning or deep learning applied to multi-robot systems.
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Specificații
ISBN-13: 9783031514968
ISBN-10: 3031514963
Pagini: 564
Ilustrații: XII, 564 p. 244 illus., 227 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.98 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Springer Proceedings in Advanced Robotics
Locul publicării:Cham, Switzerland
ISBN-10: 3031514963
Pagini: 564
Ilustrații: XII, 564 p. 244 illus., 227 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.98 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Springer Proceedings in Advanced Robotics
Locul publicării:Cham, Switzerland
Notă biografică
Textul de pe ultima copertă
This book of the SPAR series contains 39 scientific articles presented in the Distributed Autonomous Robotic Systems conference organized in November 28–30, 2022, in Montbéliard, France.
The contributions are covering a broad scope of topics within distributed robotics including mobile sensor networks, unmanned aerial vehicles, multi-agent systems, algorithms for multi-robot systems, modular robots, swarm robotics, and reinforcement learning or deep learning applied to multi-robot systems.
The contributions are covering a broad scope of topics within distributed robotics including mobile sensor networks, unmanned aerial vehicles, multi-agent systems, algorithms for multi-robot systems, modular robots, swarm robotics, and reinforcement learning or deep learning applied to multi-robot systems.
Caracteristici
Presents state of the art in autonomous systems composed of multiple robots, robotic modules, or robotic agents Is scientific outcome of the 16th International Symposium on Distributed Autonomous Robotic Systems (DARS 2022) Written by leading experts in distributed autonomous systems