Titlebook: Robot Intelligence Technology and Applications 3; Results from the 3rd Jong-Hwan Kim,Weimin Yang,Hyun Myung Conference proceedings 2015 Spr

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Directional Drilling Localization Using Graph SLAM and Magnetic Field in Backward Travel important. However, in underground environment, GPS signal is unreachable and wireless beacon system is useless. Conventional researches focused on the methods based on IMU (Inertial Measurement Unit), but vibration of drilling and distortion of magnetic fields interfere with the IMU measurement. I

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Graph Structure-Based Simultaneous Localization and Mapping with Iterative Closest Point Constraintser to solve the robot localization problem, we exploit state of the art graph-based SLAM (Simultaneous Localization and Mapping) algorithm and ICP (Iterative Closest Point) algorithm considering the gyroscopic data as a constraint for a graph structure. We confirm our method by testing actual sensor

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Path Mapping and Planning with Partially Known Paths Using Hierarchical State Machine for Service Roobot without any vision aids in indoor environment using hierarchical state machine with partially known paths is proposed. The known paths are taught to a robot using Learning by Demonstration technique (LfD). The first phase of the algorithm is to map the paths as a hierarchical state machine usin

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Dual Multiobjective Quantum-Inspired Evolutionary Algorithm for a Sensor Arrangement in a 2D Environs a dual stage of dominance check by introducing secondary objectives in addition to primary objectives. In an archive generation process, the secondary objectives are to maximize global evaluation values and crowding distances of the non-dominated solutions in the external global population and the