RoboCup-97: Robot Soccer World Cup I
RoboCup is an international initiative devoted to advancing the state of the art in artificial intelligence and robotics. The ultimate, long range goal is to build a team of robot soccer players that can beat a human World Cup champion team.This is the first book devoted to RoboCup. It opens with an...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
1998.
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Έκδοση: | 1st ed. 1998. |
Σειρά: | Lecture Notes in Artificial Intelligence ;
1395 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.