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Titlebook: Intelligent Robotics and Applications; Second International Ming Xie,Youlun Xiong,Zhencheng Hu Conference proceedings 2009 Springer-Verlag

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Classifying 3D Human Motions by Mixing Fuzzy Gaussian Inference with Genetic Programminguman Motion Capture data. FGI builds Fuzzy Membership Functions that map to hidden Probability Distributions underlying human motions, providing a suitable modelling paradigm for such noisy data. Genetic Programming (GP) is used to make a time dependent and context aware filter that improves the qua
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View-Invariant Human Action Recognition Using Exemplar-Based Hidden Markov Modelsction is modelled as a sequence of body poses (i.e., exemplars) which are represented by a collection of silhouette images. The human actions are recognized by matching the observation image sequence to predefined exemplars, in which the temporal constraints were imposed in the exemplar-based Hidden
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A Local Interaction Based Multi-robot Hunting Approach with Sensing and Modest Communicationas three modes: initial leader-fixed following&search mode, leader-changeable following&search mode and hunting mode. The conditions for modes switching are given. In order to reduce the dependence on communication, an event-trigger communication scheme based on the evader’s observation state is des
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Robot Formations for Area Coverageof LEGO Mindstorms robots. The two algorithms are (i) a vector force based implementation and (ii) a machine learning approach. The second is based on an organizational-learning oriented classifier system (OCS) introduced by Takadama in 1998.
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Modelling and Control of a Train of Autonomous Electric Vehicles to design a stable train of vehicles using longitudinal control, with a constant spacing between each vehicle. The method proposed here makes use of relative spacing and velocities between the vehicles to determine any changes (if any) that are required in the condition of the following vehicle to
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Discrete-Time Adaptive Sliding Mode Control of Autonomous Underwater Vehicle in the Dive Planeties and external disturbance. The controller makes the system stable in the presence of system uncertainties and external disturbances. The proposed algorithm has a time varying sliding surface which is obtained by parameter estimation method. The presented algorithms have been applied to the probl
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