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Advances in Physical Agents II: Proceedings of the 21st International Workshop of Physical Agents (WAF 2020), November 19-20, 2020, Alcalá de Henares, Madrid, Spain 1st ed. Luis M. Bergasa

  • SKU: BELL-22496534
Advances in Physical Agents II: Proceedings of the 21st International Workshop of Physical Agents (WAF 2020), November 19-20, 2020, Alcalá de Henares, Madrid, Spain 1st ed. Luis M. Bergasa
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Advances in Physical Agents II: Proceedings of the 21st International Workshop of Physical Agents (WAF 2020), November 19-20, 2020, Alcalá de Henares, Madrid, Spain 1st ed. Luis M. Bergasa instant download after payment.

Publisher: Springer International Publishing;Springer
File Extension: PDF
File size: 81.7 MB
Author: Luis M. Bergasa, Manuel Ocaña, Rafael Barea, Elena López-Guillén, Pedro Revenga
ISBN: 9783030625788, 9783030625795, 3030625788, 3030625796
Language: English
Year: 2021
Edition: 1st ed.

Product desciption

Advances in Physical Agents II: Proceedings of the 21st International Workshop of Physical Agents (WAF 2020), November 19-20, 2020, Alcalá de Henares, Madrid, Spain 1st ed. Luis M. Bergasa by Luis M. Bergasa, Manuel Ocaña, Rafael Barea, Elena López-guillén, Pedro Revenga 9783030625788, 9783030625795, 3030625788, 3030625796 instant download after payment.

The book reports on cutting-edge Artificial Intelligence (AI) theories and methods aimed at the control and coordination of agents acting and moving in a dynamic environment. It covers a wide range of topics relating to: autonomous navigation, localization and mapping; mobile and social robots; multiagent systems; human-robot interaction; perception systems; and deep-learning techniques applied to the robotics. Based on the 21st edition of the International Workshop of Physical Agents (WAF 2020), held virtually on November 19-20, 2020, from Alcalá de Henares, Madrid, Spain, this book offers a snapshot of the state-of-the-art in the field of physical agents, with a special emphasis on novel AI techniques in perception, navigation and human robot interaction for autonomous systems.

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