RoboCup: A challenge problem for AI and robotics.- Overview of RoboCup-97.- The RoboCup physical agent challenge: Goals and protocols for phase I.- The RoboCup synthetic agent challenge 97.- Playing soccer by modifying and combining primitive reactions.- Learning, deciding, predicting: The soccer playing mind.- Using decision tree confidence factors for multiagent control.- A role-based decision-mechanism for teams of reactive and coordinating agents.- Using an explicit model of teamwork in RoboCup.- Decision making by the characteristics and the interaction in multi-agent robotics soccer.- Real-time vision processing for a soccer playing mobile robot.- A method applied for soccer's behaviors using proper feedback and feedforward control.- A legged robot for RoboCup based on “OPENR”.- JavaSoccer.- RoboCup-3D: The construction of intelligent navigation system.- Generating multimedia presentations for RoboCup soccer games.- Football in recent times: What we can learn from the newspapers.- The value of project-based education in robotics.- The CMUnited-97 small robot team.- Development of self-learning vision-based mobile robots for acquiring soccer robots behaviors.- MICROB: The french experiment in RoboCup.- Description of rogi-team.- Autonomous soccer robots.- Vision-based robot learning towards RoboCup: Osaka University “Trackies“.- RoboCup97: An omnidirectional perspective.- Omni-directional autonomous robots cooperating for team play.- The spirit of Bolivia: Complex behavior through minimal control.- AT Humboldt — Development, practice and theory.- Refinement of soccer agents' positions using reinforcement learning.- The CMUnited-97 simulator team.- Co-evolving Soccer Softbot team coordination with genetic programming.- Learning cooperative behaviors in RoboCup agents.- Individual tactical play and action decision based on a short-term goal — team descriptions of team Miya and team Niken.- The reactive motion planning in the passive situation.- A reactive architecture for RoboCup competition.- Team: Kasuga-bitos with modulation of playing.- Team sicily.- Team description: Building teams using roles, responsibilities, and strategies.- A multi-layered behavior based system for controlling RoboCup agents.- Using ABC 2 in the RoboCup domain.- Integrating learning with motor schema-based control for a Robot Soccer Team.- Describing soccer game in EAMMO.- Team GAMMA: Agent programming on gaea.- Using reactive deliberation for real-time control of soccer-playing robots.- A Multi-layered planning architecture for soccer agent.
