Title :
Multi-robot team response to a multi-robot opponent team
Author :
Bruce, James ; Bowling, Michael ; Browning, Brett ; Veloso, Manuela
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Adversarial multi-robot problems, where teams of robots compete with one another, require the development of approaches that span all levels of control and integrate algorithms ranging from low-level robot motion control, through to planning, opponent modeling, and multiagent learning. Small-size robot soccer, a league within the RoboCup initiative, is a prime example of this multi-robot team adversarial environment. In this paper, we describe some of the algorithms and approaches of our robot soccer team, CMDragons´02, developed for RoboCup 2002. Our team represents an integration of many components, several of which that are in themselves state-of-the-art, into a framework designed for fast adaptation and response to the changing environment.
Keywords :
collision avoidance; games of skill; learning (artificial intelligence); mobile robots; motion control; multi-agent systems; multi-robot systems; collision avoidance; multiagent learning; multiple robot team; robot motion control; robot opponent modeling; robot skills; robot soccer team; Cameras; Control systems; Hardware; Humans; Motion control; Robot control; Robot kinematics; Robot sensing systems; Robot vision systems; Wireless sensor networks;
Conference_Titel :
Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
Print_ISBN :
0-7803-7736-2
DOI :
10.1109/ROBOT.2003.1241933