An Optimal Path Planning of the Autonomous Guided Vehicle in the Environment with Dynamic Obstacles


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 2, No. 3, pp. 343-353, Apr. 1995
10.3745/KIPSTE.1995.2.3.343,   PDF Download:

Abstract

The path navigation of autonomous guided vehicle(AGV) of autonomous mobile robot(AMR) assumed that the environment was completely known and the obstacles were fixed. So that, in an environment only partly known or not known at all, the previous works were not successful since the path exploration techniques involved in the work were neither directly applicable nor extensible. In order to improve such problems, this paper was adoped the quadtree technique and proposed the algorithm for an optimal path planning autonomously in an environment and proved a validity through a simulation.


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Cite this article
[IEEE Style]
L. Y. Bae, "An Optimal Path Planning of the Autonomous Guided Vehicle in the Environment with Dynamic Obstacles," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 2, no. 3, pp. 343-353, 1995. DOI: 10.3745/KIPSTE.1995.2.3.343.

[ACM Style]
Lee Yun Bae. 1995. An Optimal Path Planning of the Autonomous Guided Vehicle in the Environment with Dynamic Obstacles. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 2, 3, (1995), 343-353. DOI: 10.3745/KIPSTE.1995.2.3.343.