Host: Japan SOciety for Fuzzy Theory and intelligent informatics
Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"
Visual perception-based autonomous virtual agent in virtual reality as a counterpart of an actual robot movement with a given dynamics is investigated. The visual perception is mathematically modelled as a probabilistic process obtaining and interpreting visual data from an environment. The perception obtained in the form of measurements in 2D is used for perceptual robot navigation. The visual data is processed in a multiresolutional form via wavelet transform and optimally estimated via extended Kalman filtering in each resolution level and the outcomes are fused for improved estimation of the trajectory. The computer experiments are carried out with perception measurement data, and the sensor/data fusion experiments are carried out by means of simulation in virtual reality. The improvement on the trajectory estimation by means of sensor/data fusion is demonstrated.
