Advances in Physical Agents II

Beschreibung

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.
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.
Presents cutting-edge AI methods in control and coordination of autonomous systems Reports on perception systems for physical agents and human-robot interaction Covers applications in mobile and social robotics

Autor*in

Luis M. Bergasa

Themen in »Advances in Physical Agents II«

Active-aware navigation Long-term object localization Convolutional Neural Network Models Autonomous driving architecture Customer activity patterns Urban simulation environment Agent-based Modeling Behavior trees in robotics Adaptive robot navigation Federated continual learing Cognitive Architectures for Robotics Human-aware robot navigation Graph Neural Networks in robotics Human-robot interaction Gaze control

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