This paper describes a new topological map generation method for mobile robots. The proposed method requires only a laser rangefinder and can automatically generate topological maps based on Delaunay triangulation. By applying triangulation, allowable space can be easily and automatically detected. Based on detected allowable space, facilities structures are abstracted as landmark triangles, which, when detected, are analyzed to generate an appropriate allowable path and moving direction. The topological nodes based on landmark triangles can be converted into a local map as a useful tool for indoor mobile robot navigation. To confirm the proposed topological map generation method, an electric wheelchair based mobile robot is used for implementation and testing. Experiments in an indoor environment demonstrate the validity and feasibility of the proposed methods
[1]
Sebastian Thrun,et al.
Learning Metric-Topological Maps for Indoor Mobile Robot Navigation
,
1998,
Artif. Intell..
[2]
T. Yamamoto,et al.
GMDH-Based Monitoring in an Atmospheric Distillation Process
,
2006,
2006 SICE-ICASE International Joint Conference.
[3]
Timothy S. Bailey,et al.
Mobile Robot Localisation and Mapping in Extensive Outdoor Environments
,
2002
.
[4]
A. Inoue,et al.
Experimental Results of an Aluminum Plate Temperature Control by Stable Continuous-Time Generalized Predictive Control
,
2006,
2006 SICE-ICASE International Joint Conference.