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Path Planning and Tracking for Mobile Robots Using An Improved Distance Transform Algorithm  

Park Jin-Hyun (진주산업대학교 메카트로닉스공학과)
Park Gi-Hyung (한국전력공사 수원전력관리처)
Choi Young-Kiu (부산대학교 전자전기정보컴퓨터공학부)
Abstract
In this paper, path planning and tracking problems are mentioned to guarantee efficient and safe navigation of autonomous mobile robots. We focus on the path planning and also deal with the path tracking and obstacle avoidance. We improved the conventional distance transform (DT) algorithm for the path planning. Using the improved DT algorithm, we obtain paths with shorter distances compared to the conventional DT algorithm. In the stage of the Path tracking, we employ the fuzzy logic controller to conduct the path tracking behavior and obstacle avoidance behavior. Through computer simulation studies, we show the effectiveness of the Nosed navigational algorithm for autonomous mobile robots.
Keywords
Path planning; path tracking; distance transform algorithm; mobile robots;
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