At present, there are many optimization algorithms to solve this problem, but many algorithms have certain limitations. For example, when there are many constraints on the algorithm, it is difficult to solve the path planning problem in a complex environment. According to the current research status of robot path planning algorithms and the trend of development towards intelligence and bionics, this paper studies a robot global path planning method based on an improved ant colony algorithm.
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