Path Planning Using an Improved A-star Algorithm
Chunyu Ju, Qinghua Luo, Xiaozhen Yan
Abstract
Chunyu Ju, Qinghua Luo, Xiaozhen Yan
Abstract
There has been a heated issue in the field of robotics about how to plan the shortest path of a map with obstacles. This papers mainly analysis the issues about the path planned are not the shortest path by the A-star algorithm under certain conditions. An effective method is proposed which is called an improved A-star algorithm. The improved A-star algorithm is proposed to solve path planning under certain conditions, which can find a shorter path in contrast of other related methods. The simulation results show that the proposed algorithms are effective to settle above the issue, in which the path generated by the improved A-star algorithm has a shorter path than the path of other improved A-star algorithms.
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There has been a heated issue in the field of robotics about how to plan the shortest path of a map with obstacles. This papers mainly analysis the issues about the path planned are not the shortest path by the A-star algorithm under certain conditions. An effective method is proposed which is called an improved A-star algorithm. The improved A-star algorithm is proposed to solve path planning under certain conditions, which can find a shorter path in contrast of other related methods. The simulation results show that the proposed algorithms are effective to settle above the issue, in which the path generated by the improved A-star algorithm has a shorter path than the path of other improved A-star algorithms.
Key concepts: A* search algorithm, Shortest path problem, Path (computing), Yen's algorithm, Star (game theory), Motion planning, Algorithm, K shortest path routing