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For mobile robots, being able to find a suitable route through an environment filled with varied obstacles, and to ensure that they can successfully reach their target point from the starting point in the most efficient manner is very important, and a necessary research topic. This article proposes a combination of Artificial Bee Colony Algorithm (ABC) and Rapidly-Exploring Random Tree (RRT) to produce...
This paper proposes an optimal path planning algorithm for mobile robots based on Particle Swam Optimization with an Aging Leader and Challengers (ALC-PSO) and Rapidly-exploring Random Tree (RRT), it improved algorithm of ALC-PSO to imitate concept of RRT root node grown into goal point in path planning, and add Danger Degree Map to avoid obstacles, this method is not only overcome the drawback for...
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