Keiji Gyohten

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This paper presents a method which reduces uncertainty of a position and a direction of an autonomous robot by observing environment with a camera. In the proposed method, the state of the robot is represented by a state vector obeying a probability distribution. The robot creates and renews an environment map by considering the information from the mounted(More)
In this research, we propose CAD data mining technique to obtain semantic elements without prior knowledge about plans being designed. Our method consists of two steps. The first step is to extract frequent spatial relations between figure elements in CAD data as clues to the semantic elements. These relations are modeled as topology graph and are analyzed(More)
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