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

Luis M. Bergasa, Manuel Ocaña, Rafael Barea, Elena López-Guillén, Pedro Revenga (Herausgeber)

Buch | Softcover

XI, 362 Seiten

2020 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-62578-8 (ISBN)

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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.

Erscheinungsdatum	04.11.2020
Reihe/Serie	Advances in Intelligent Systems and Computing
Zusatzinfo	XI, 362 p. 174 illus., 155 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	575 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Active-aware navigation • Adaptive robot navigation • agent-based modeling • Autonomous driving architecture • Behavior trees in robotics • Cognitive Architectures for Robotics • Convolutional Neural Network Models • Customer activity patterns • Dead filters • Deep learning in robotics • Federated continual learing • Gaze control • Graph Neural Networks in robotics • Human-aware robot navigation • Human-Robot Interaction • Long-term object localization • Speaker Cclassification algorithms • Urban simulation environment • WAF 2020
ISBN-10	3-030-62578-8 / 3030625788
ISBN-13	978-3-030-62578-8 / 9783030625788
Zustand	Neuware