The RoboCup physical agent challenge: Goals and protocols for phase I View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2005-07-29

AUTHORS

Minoru Asada , Peter Stone , Hiroaki Kitano , Alexis Drogoul , Dominique Duhaut , Manuela Veloso , Hajime Asamas , Sho'ji Suzuki

ABSTRACT

Traditional AI research has not given due attention to the important role that physical bodies play for agents as their interactions produce complex emergent behaviors to achieve goals in the dynamic real world. The RoboCup Physical Agent Challenge provides a good test-bed for studying how physical bodies play a significant role in realizing intelligent behaviors using the RoboCup framework [Kitano, et al., 95]. In order for the robots to play a soccer game reasonably well, a wide range of technologies needs to be integrated and a number of technical breakthroughs must be made. In this paper, we present three challenging tasks as the RoboCup Physical Agent Challenge Phase I: (1) moving the ball to the specified area (shooting, passing, and dribbling) with no, stationary, or moving obstacles, (2) catching the ball from an opponent or a teammate (receiving, goal-keeping, and intercepting), and (3) passing the ball between two players. The first two are concerned with single agent skills while the third one is related to a simple cooperative behavior. Motivation for these challenges and evaluation methodology are given. More... »

PAGES

42-61

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-64473-3_48

DOI

http://dx.doi.org/10.1007/3-540-64473-3_48

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035481369


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