Reactive visual control of multiple non-holonomic robotic agents

We have developed a multiagent robotic system including perception, cognition, and action components to function in a dynamic environment. The system involves the integration and coordination of a variety of diverse functional modules. At the sensing level, our complete multiagent robotic system incorporates detection and recognition algorithms to handle the motion of multiple mobile robots in a noisy environment. At the strategic and decision-making level, deliberative and reactive components take in the processed sensory inputs and select the appropriate actions to reach objectives under the dynamic and changing environmental conditions. At the actuator level, physical robotic effecters execute the motion commands generated by the cognition level. In this paper, we focus on presenting our approach for reactive visual control of multiple mobile robots. We present a tracking and prediction algorithm which handles visually homogeneous agents. We describe our nonholonomic control for single robot navigation, and show how it applies to dynamic path generation to avoid multiple moving obstacles. We illustrate our algorithms with examples from our real implementation. Using the approaches introduced, our robotic team won the RoboCup-97 small-size robot competition at IJCAI-97 in Nagoya, Japan.

[1]  Manuela M. Veloso,et al.  The CMUnited-97 Small Robot Team , 1997, RoboCup.

[2]  Alan K. Mackworth,et al.  Real-time control of soccer-playing robots using off-board vision: the dynamite testbed , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[3]  Manuela M. Veloso,et al.  The CMUnited-97 robotic soccer team: perception and multiagent control , 1998, AGENTS '98.

[4]  V. Braitenberg Vehicles, Experiments in Synthetic Psychology , 1984 .

[5]  Prof. Dr. Kikuo Fujimura Motion Planning in Dynamic Environments , 1991, Computer Science Workbench.

[6]  Peter Stone,et al.  CMUnited: a team of robotics soccer agents collaborating in an adversarial environment , 1998, CROS.

[7]  Hiroaki Kitano,et al.  RoboCup: A Challenge Problem for AI , 1997, AI Mag..

[8]  Manuela Veloso,et al.  Physical Model Based Multi-objects Tracking and Prediction in RoboSoccer , 1997 .

[9]  Hiroaki Kitano,et al.  The Robocup Physical Agent Challenge: Phase I , 1998, Appl. Artif. Intell..

[10]  Randy Sargent,et al.  Dynamic Object Capture Using Fast Vision Tracking , 1997, AI Mag..

[11]  Hiroaki Kitano,et al.  The RoboCup Synthetic Agent Challenge 97 , 1997, IJCAI.

[12]  Takashi Tsubouchi,et al.  Behavior of a mobile robot navigated by an "iterated forecast and planning" scheme in the presence of multiple moving obstacles , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[13]  Hiroaki Kitano,et al.  RoboCup: The Robot World Cup Initiative , 1997, AGENTS '97.