2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference On 2006
DOI: 10.1109/cimca.2006.64
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CBRRoboSoc: An Efficient Planning Strategy for Robotic Soccer Using Case Based Reasoning

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Cited by 8 publications
(4 citation statements)
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“…The tests in the simulated environment were performed on the Half Field Offense (HFO) task [61] using an adaptation of the original code described in Hausknecht et al [25]. HFO is a subtask of RoboCup 2D Soccer Simulator [52] in which the soccer match is performed on a half field.…”
Section: Tests In the Simulated Robot-soccer Environmentmentioning
confidence: 99%
“…The tests in the simulated environment were performed on the Half Field Offense (HFO) task [61] using an adaptation of the original code described in Hausknecht et al [25]. HFO is a subtask of RoboCup 2D Soccer Simulator [52] in which the soccer match is performed on a half field.…”
Section: Tests In the Simulated Robot-soccer Environmentmentioning
confidence: 99%
“…FV = {Defc, Affc, Aff1x, Aff2x, Defqc, Affqc} The probability [1] of FV of the current scenario belonging to either class C1=aim or C2=dribble is computed as follows P(FV/Ci) = P(Defc/Ci)* P(Affc/Ci)* P(Defqc/Ci) * P(Ci)* (Affqc/Ci)* P(Aff1x/Ci)*P(Aff2x/Ci) where i=1 or 2. P(FV/Ci)=Posterior probability of FV given Ci and P (Ci) = Prior probability.…”
Section: Optimality Of the Ball Possession Using Bayesian Classifiermentioning
confidence: 99%
“…View AngleAngle[1] made by the ball possessing player Z with respect to the goal post as shown inFigure 2.…”
mentioning
confidence: 99%
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