The robust construction of a generalized Voronoi graph (GVG) using partial range data for guide robots

Author:

Ahn Sunghwan,Lett Doh Nakju,Kyun Chung Wan,Yep Nam Sang

Abstract

PurposeThe purpose of this paper is to describe research to enable a robust navigation of guide robots in erratic environments with partial sensor information.Design/methodology/approachTwo techniques were developed. One is a robust node discrimination method by using an adaptive sensor matching method. The other is a robot navigation technique with partial sensor information.FindingsA successful navigation was implemented in erratic environments using partial sensor information.Originality/valueFirst robot navigation is addressed along the generalized Voronoi graph (GVG) with partial sensor information. A solution is also provided for a phantom node detection problem, which is one of the main defects in GVG navigation.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering

Reference15 articles.

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3. Choset, H. and Burdick, J. (2000), “Sensor based motion planning: incremental construction of the hierarchical generalized Voronoi graph”, Int. J. of Robotics Research, Vol. 19 No. 2, pp. 126‐48.

4. Choset, H. and Nagatani, K. (2001), “Topological simultaneous localization and mapping (SLAM): toward exact localization without explicit localization”, IEEE Trans. on Robotics and Automation, Vol. 17 No. 2, pp. 125‐37.

5. Doh, N.L., Lee, S., Chung, W.K., Oh, S.R. and Yu, B.J. (2003), “A robust generalized Voronoi graph based slam for hyper symmetric environment”, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 218‐23.

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