In this paper the performance of a new algorithm for path-planning of autonomous mobile robots is presented. This algorithm, SIA, is based on the Structured Intelligence Approach, which combines theories on genesis and classification of intelligent behavior in a transdisciplinary manner. The SIA utilizes available knowledge about the environment and handles dynamically changing environments during run-time.
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