Distributed Autonomous Robotic Systems
Editat de Julien Bourgeois, Negar Mehr, Abdallah Makhoul, Jamie Paik, Benoît Piranda, Justin Werfel, Sabine Hauert, Alyssa Pierson, Heiko Hamann, Tin Lun Lam, Fumitoshi Matsunoen 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: 576
Ilustrații: XII, 564 p. 244 illus., 227 illus. in color.
Dimensiuni: 160 x 241 x 37 mm
Greutate: 1.02 kg
Ediția:1st ed. 2024
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3031514963
Pagini: 576
Ilustrații: XII, 564 p. 244 illus., 227 illus. in color.
Dimensiuni: 160 x 241 x 37 mm
Greutate: 1.02 kg
Ediția:1st ed. 2024
Editura: Springer
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