Two Dimensional Path Planning with Obstacles and Shadows.
MARYLAND UNIV COLLEGE PARK CENTER FOR AUTOMATION RESEARCH
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A mobile robot navigates with a limited knowledge of its environment because of the restricted field of view and range of its sensors, and the occlusion of parts of the environment in any single image. Most path planning algorithms consider only free regions and obstacles in the robots world for path planning. The objective of this report is to extend the classical path planning paradigm to include occluded regions. This introduces the new problem of deciding when or whether to employ the sensor system during the execution of the path to, potentially, reveal the occluded regions as obstacles or free space for the purpose of replanning.