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Proceedings Paper

A Heuristic Route Planner For Autonomous Robots
Author(s): John F. Gilmore; Antonio C. Semeco; Pipat Eamsherangkoon
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Paper Abstract

This paper describes a heuristic route planning system for use in robotic vehicles. The route planner described herein is applicable to a variety of natural terrain ground systems such as autonomous tactical vehicles and mobile robot sentries. The route planner consists of five processing stages: (1) terrain preprocessing, (2) local points-of-interest extraction, (3) postprocessing point reduction, (4) search space criterion graph construction, and (5) heuristic search path generation. Examples of these processing steps are presented and additional system improvements are discussed.

Paper Details

Date Published: 17 January 1985
PDF: 10 pages
Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); doi: 10.1117/12.946176
Show Author Affiliations
John F. Gilmore, Georgia Tech Research Institute (United States)
Antonio C. Semeco, Georgia Tech Research Institute (United States)
Pipat Eamsherangkoon, Georgia Tech Research Institute (United States)

Published in SPIE Proceedings Vol. 0521:
Intelligent Robots and Computer Vision
David P. Casasent; Ernest L. Hall, Editor(s)

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