RoboCup-97: Robot Soccer World Cup I

RoboCup: A challenge problem for AI and robotics....Pages 1-19
Overview of RoboCup-97....Pages 20-41
The RoboCup physical agent challenge: Goals and protocols for phase I....Pages 42-61
The RoboCup synthetic agent challenge 97....Pages 62-73
Playing soccer by modifying and combining primitive reactions....Pages 74-87
Learning, deciding, predicting: The soccer playing mind....Pages 88-98
Using decision tree confidence factors for multiagent control....Pages 99-111
A role-based decision-mechanism for teams of reactive and coordinating agents....Pages 112-122
Using an explicit model of teamwork in RoboCup....Pages 123-131
Decision making by the characteristics and the interaction in multi-agent robotics soccer....Pages 132-143
Real-time vision processing for a soccer playing mobile robot....Pages 144-155
A method applied for soccer's behaviors using proper feedback and feedforward control....Pages 156-167
A legged robot for RoboCup based on “OPENR”....Pages 168-180
JavaSoccer....Pages 181-187
RoboCup-3D: The construction of intelligent navigation system....Pages 188-199
Generating multimedia presentations for RoboCup soccer games....Pages 200-215
Football in recent times: What we can learn from the newspapers....Pages 216-230
The value of project-based education in robotics....Pages 231-241
The CMUnited-97 small robot team....Pages 242-256
Development of self-learning vision-based mobile robots for acquiring soccer robots behaviors....Pages 257-276
MICROB: The french experiment in RoboCup....Pages 277-285
Description of rogi-team....Pages 286-294
Autonomous soccer robots....Pages 295-304
Vision-based robot learning towards RoboCup: Osaka University “Trackies“....Pages 305-319
RoboCup97: An omnidirectional perspective....Pages 320-332
Omni-directional autonomous robots cooperating for team play....Pages 333-347
The spirit of Bolivia: Complex behavior through minimal control....Pages 348-356
AT Humboldt — Development, practice and theory....Pages 357-372
Refinement of soccer agents' positions using reinforcement learning....Pages 373-388
The CMUnited-97 simulator team....Pages 389-397
Co-evolving Soccer Softbot team coordination with genetic programming....Pages 398-411
Learning cooperative behaviors in RoboCup agents....Pages 412-419
Individual tactical play and action decision based on a short-term goal — team descriptions of team Miya and team Niken....Pages 420-427
The reactive motion planning in the passive situation....Pages 428-433
A reactive architecture for RoboCup competition....Pages 434-442
Team: Kasuga-bitos with modulation of playing....Pages 443-449
Team sicily....Pages 450-457
Team description: Building teams using roles, responsibilities, and strategies....Pages 458-466
A multi-layered behavior based system for controlling RoboCup agents....Pages 467-474
Using ABC 2 in the RoboCup domain....Pages 475-482
Integrating learning with motor schema-based control for a Robot Soccer Team....Pages 483-491
Describing soccer game in EAMMO....Pages 492-499
Team GAMMA: Agent programming on gaea....Pages 500-507
Using reactive deliberation for real-time control of soccer-playing robots....Pages 508-512
A Multi-layered planning architecture for soccer agent....Pages 513-518