AGILO RoboCuppers 2001: Utility- and Plan-Based Action Selection Based on Probabilistically Estimated Game Situations

Authors:
Thorsten Schmitt;Sebastian Buck;Michael Beetz
Affiliations:
-;-;-
Venue:
RoboCup 2001: Robot Soccer World Cup V
Year:
2002

Citing 4
Cited 1

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Induction of Decision Trees

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Cooperative Probabilistic State Estimation for Vision-Based Autonomous Soccer Robots

RoboCup 2001: Robot Soccer World Cup V
Learning situation dependent success rates of actions in a RoboCup scenario

PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence

CS Freiburg: Global View by Cooperative Sensing

RoboCup 2001: Robot Soccer World Cup V

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Abstract

This paper describes the AGILO RoboCuppers 1 the RoboCup team of the image understanding group (FG BV) at the Technische Universit盲t M眉nchen. With a team of four Pioneer I robots, all equipped with CCD camera and a single board computer, we've participated in all international middle size league tournaments from 1998 until 2001. We use a modular approach of concurrent subprograms for image processing, self localization, object tracking, action selection, path planning and basic robot control. A fast feature extraction process provides the data necessary for the on-board scene interpretation. All robot observations are fused into a single environmental model, which forms the basis for action selection, path planning and low-level robot control.