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This paper describes the efficient strategy for planning for autonomous mobile robot navigation using the information which is the resulting probabilistic distribution of position and map acquired by solving the SLAM. In order to estimate good robots position and map, we used a highly efficient variant of the grid based version of the FastSLAM algorithm. D* Lite algorithm for global path planning,...
In this paper, we propose a path planning system named SAP (simultaneous adaptive path planning) which can make a plan adapt to kinematic and dynamic constraints, and dynamically changing environment simultaneously. SAP has three key issues: condition layers, a dynamic space, and a search tree. Each condition layer involves a factor which influences running of the robot such as coefficient of friction...
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