Retrieving and Reusing Game Plays for Robot Soccer
ثبت نشده
چکیده
The problem of defining robot behaviors to completely address a large and complex set of situations is very challenging. We present an approach for robot?s action selection in the robot soccer domain using Case-Based Reasoning techniques. A case represents a snapshot of the game at time t and the actions the robot should perform in that situation. We basically focus our work on the retrieval and reuse steps of the system, presenting the similarity functions and a planning process to adapt the current problem to a case. We present first results of the performance of the system under simulation and the analysis of the parameters used in the approach. Source URL: https://www.iiia.csic.es/en/publications/retrieving-and-reusing-game-plays-robot-soccer Links [1] https://www.iiia.csic.es/en/staff/raquel-ros [2] https://www.iiia.csic.es/en/staff/manuela-veloso [3] https://www.iiia.csic.es/en/staff/ramon-l%C3%B3pez-de-m%C3%A1ntaras [4] https://www.iiia.csic.es/en/staff/carles-sierra [5] https://www.iiia.csic.es/en/staff/josep-lluis-arcos
منابع مشابه
Retrieving and Reusing Game Plays for Robot Soccer
The problem of defining robot behaviors to completely address a large and complex set of situations is very challenging. We present an approach for robot’s action selection in the robot soccer domain using Case-Based Reasoning techniques. A case represents a snapshot of the game at time t and the actions the robot should perform in that situation. We basically focus our work on the retrieval an...
متن کاملAn Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network
RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...
متن کاملStudy of Evolutionary and Swarm Intelligent Techniques for Soccer Robot Path Planning
Finding an optimal path for a robot in a soccer field involves different parameters such as the positions of the robot, positions of the obstacles, etc. Due to simplicity and smoothness of Ferguson Spline, it has been employed for path planning between arbitrary points on the field in many research teams. In order to optimize the parameters of Ferguson Spline some evolutionary or intelligent al...
متن کاملCase Based Game Play in the RoboCup Four-Legged League Part I The Theoretical Model
Robot Soccer involves planning at many levels, and in this paper we develop high level planning strategies for robots playing in the RoboCup FourLegged League using case based reasoning. We develop a framework for developing and choosing game plays. Game plays are widely used in many team sports e.g. soccer, hockey, polo, and rugby. One of the current challenges for robots playing in the RoboCu...
متن کاملThe AGILO Robot Soccer Team-Experience-Based Learning and Probabilistic Reasoning in Autonomous Robot Control
This article describes the computational model underlying the AGILO autonomous robot soccer team, its implementation, and our experiences with it. According to our model the control system of an autonomous soccer robot consists of a probabilistic game state estimator and a situated action selection module. The game state estimator computes the robot’s belief state with respect to the current ga...
متن کامل