RoboCup: The Robot World Cup Initiative

@inproceedings{Kitano1997RoboCupTR,
  title={RoboCup: The Robot World Cup Initiative},
  author={H. Kitano and M. Asada and Y. Kuniyoshi and I. Noda and Eiichi Osawa},
  booktitle={AGENTS '97},
  year={1997}
}
The Robot World Cup Initiative (R, oboCup) is attempt to foster AI and intelligent rohoties research by providing a standard problem where wide range of technologies especially concerning multi-agent research (:an be integrated and examined. The first RoboCup competition is to be, heht at. IJCAI-97, Nagoya. In order for a robot team to actually perform a soccer game. various technologies must I)e incorl)orated including: design principles of autononmus agents, multi-agent collaboration… Expand
RoboCup-98: Robot Soccer World Cup II
TLDR
RoboCup-99, the third Robot World Cup Soccer Games and Conferences, will be held at Stockholm in conjunction with the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99) at the beginning of August, 1999. Expand
RoboCup 2002: Robot Soccer World Cup VI
TLDR
An overview of RoboCup 2002 Fukuoka/Busan, and Adaptive Methods to Improve Self-localization in Robot Soccer. Expand
Integrated Reactive Soccer Agents
TLDR
The philosophy in building these robots is to use the least possible sophistication to make them as robust as possible as well as the new improvements to the team. Expand
Microsoft robotics soccer challenge : movement optimization of a quadruped robot
Robotics is a field expanding tremendously in the l ast years. Continuous improvements in technology mean that what, only a few years ago, seemed impossible is now being actively studied andExpand
CMUNITED-97: RoboCup-97 Small-Robot World Champion Team
TLDR
CMUNITED, the team of small robotic agents that the designed and built the robotic agents, devised the appropriate vision algorithm, and developed and implemented algorithms for strategic collaboration between the robots in an uncertain and dynamic environment. Expand
The Robocup Physical Agent Challenge: Phase I
TLDR
This article presents three challenging tasks as the RoboCup Physical Agent Challenge Phase I: moving the ball to the specified area, catching the ball from an opponent or a teammate, and passing the ball between two players. Expand
Autonomous Soccer Robots
The Robocup 97 competition provides an excellent opportunity to demonstrate the techniques and methods of artificial intelligence, autonomous agents and computer vision. On a soccer field the coreExpand
RoboCup formation modeling
TLDR
The results show that these methods can be used to infer a classical team formation, as well as other distinguishing characteristics of the players, such as which areas on the field the players tend to occupy, or the players’ movement patterns both valuable items of information for a future opposition team. Expand
The RoboCup Physical Agent Challenge: Goals and Protocols for Phase 1
TLDR
Three challenging tasks as the RoboCup Physical Agent Challenge Phase I are presented: moving the ball to the specified area (shooting, passing, and dribbling) with no, stationary, or moving obstacles, catching the ball from an opponent or a teammate, and passing the ball between two players. Expand
RoboCup 2000: Robot Soccer World Cup IV
TLDR
A Reinforcement Learning approach to robotic soccer and potential Tasks and Research Issues for Mobile Robots in RoboCup Rescue are discussed. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 51 REFERENCES
Building a Dedicated Robotic Soccer System
TLDR
The main purpose is to provide a detailed description of the design decisions so that others may learn from and replicate the work and replicate the authors' design decisions. Expand
A layered approach for an autonomous robotic soccer system
TLDR
The architecture of the physical system is presented and how actions are layered building upon each other to create strategic reasoning is introduced, which addresses the combination of high-level and low-level reasoning. Expand
Reactive Deliberation: An Architecture for Real-Time Intelligent Control in Dynamic Environments
TLDR
The results suggest that the architectural elements in reactive deliberation are sufficient for real-time intelligent control in dynamic environments. Expand
Tracking Dynamic Team Activity
TLDR
To facilitate real-time ambiguity resolution with team models, aspects of tracking are cast as constraint satisfaction problems to exploit constraint propagation techniques and a cost minimality criterion is applied to constrain tracking search. Expand
Designing autonomous agents: Theory and practice from biology to engineering and back
  • P. Maes
  • Computer Science
  • Robotics Auton. Syst.
  • 1990
TLDR
The research discussed here encompasses such important ideas as emergent functionality, task-level decomposition, and reasoning methods such as analogical representations and visual operations that make the task of perception more realistic. Expand
Introducing the Tileworld: Experimentally Evaluating Agent Architectures
TLDR
The hypothesis is that the appropriateness of a particular meta-level reasoning strategy will depend in large part upon the characteristics of the environment in which the agent incorporating that strategy is situated. Expand
Behavior coordination for a mobile robot using modular reinforcement learning
  • E. Uchibe, M. Asada, K. Hosoda
  • Engineering, Computer Science
  • Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96
  • 1996
TLDR
A method of modular learning which coordinates multiple behaviors taking account of a trade-off between learning time and performance is presented, applied to one to one soccer playing robots. Expand
Reasonable performance in less learning time by real robot based on incremental state space segmentation
TLDR
A method by which a robot learns purposive behavior within less learning time by incrementally segmenting the sensor space based on the experiences of the robot. Expand
A Metalevel Coordination Strategy for Reactive Cooperative Planning
TLDR
A metalevel coordination strategy to implement an adaptive organization for reactive cooperative planning that changes its organizational scheme adaptively as a means of coping with the dynamic problem spaces and works efficiently in cases where the communication cost is relatively expensive. Expand
Situated agents can have goals
  • P. Maes
  • Computer Science
  • Robotics Auton. Syst.
  • 1990
TLDR
A novel action selection theory is presented which allows arbitration among goals and actions while producing fast and robust activity in a tight interaction loop with the environment. Expand
...
1
2
3
4
5
...