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Artificial Intelligence and Systems Theory: Applied to Cooperative Robots

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Author(s): Pedro U. Lima | Luis M. M. Custodio

Journal: International Journal of Advanced Robotic Systems
ISSN 1729-8806

Volume: 1;
Issue: 3;
Date: 2008;
Original page

Keywords: multi-robot systems | sensor fusion | distributed task planning | robot navigation | soccer robots.

ABSTRACT
This paper describes an approach to the design of a population of cooperative robots based on concepts borrowed from Systems Theory and Artificial Intelligence. The research has been developed under the SocRob project, carried out by the Intelligent Systems Laboratory at the Institute for Systems and Robotics - Instituto Superior T?cnico (ISR/IST) in Lisbon. The acronym of the project stands both for "Society of Robots" and "Soccer Robots", the case study where we are testing our population of robots. Designing soccer robots is a very challenging problem, where the robots must act not only to shoot a ball towards the goal, but also to detect and avoid static (walls, stopped robots) and dynamic (moving robots) obstacles. Furthermore, they must cooperate to defeat an opposing team. Our past and current research in soccer robotics includes cooperative sensor fusion for world modeling, object recognition and tracking, robot navigation, multi-robot distributed task planning and coordination, including cooperative reinforcement learning in cooperative and adversarial environments, and behavior-based architectures for real time task execution of cooperating robot teams.
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