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In this paper, we propose a view planning method that plans view points for efficient 3D map building by a mobile robot equipped with two LRFs (laser range finders). The robot searches for effective view points by predicting new measurement domains in the next view points, and then measures distances to obstacles around the robot with LRFs. The 3D map is generated by integrating range information...
Map information is important for path planning and self-localization when mobile robots accomplish autonomous tasks. In unknown environments, mobile robots should generate an environment map by themselves. Then, we propose a method for 3D environment modeling by a mobile robot. For environmental measurement, we use a single omni-directional camera. We propose a new estimation method of camera motions...
This paper proposes a method to navigate a mobile robot in human environment via an interaction through virtual 3D lines, which are handwritten in the air by a robot user who coexists with the robot. The objective of this navigation is to develop the flexible instruction of the appropriate route for a mobile robot in adaptation of various situations easily by embodied interaction between robots and...
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