At present,the application of various intelligent algorithms in robot path planning has achieved certain results,mainly in path planning,obstacle avoidance navigation,collaborative control and so on,in order to improve the robot's working ability,collaborative ability and working efficiency in complex environment.However,the original single algorithms such as Particle Swarm Optimization(PSO),Ant Colony Optimization(ACO)and Dynamic Window Approach(DWA)also have some problems in robot path planning,such as slow convergence speed,easy to fall into local optimal solution and so on.Therefore,many scholars have improved various algorithms.These algorithms can be mainly classified into four categories,including search-based path planning algorithm,sampling-based path planning algorithm,learning-based path planning algorithm and intelligent bionic path planning algorithm.These algorithms can not only be used separately,but also be combined with each other to improve the adaptability,convergence speed and global search ability of the algorithms.By summarizing the algorithms in robot path planning,some references are provided for relevant researchers to understand the research and application of algorithms in mobile robot path planning.
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维普
