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基于启发式搜索算法的自动采摘机器人路径规划研究

Research on Path Planning of Automatic Picking Robot Based on Heuristic Search Algorithms

  • 摘要: 对启发式搜索算法进行了分析和介绍,并选择采用A*算法进行自动采摘机器人路径规划研究。研究了采摘机器人路径规划的二维空间环境的模型,并采用栅格法建立了采摘机器人路径规划空间模型。利用MatLab软件对模型进行了仿真实验,结果表明:改进的A*算法可以明显改善采摘机器人移动路径,使规划的路径更加平滑,证实了改进算法的可行性和优越性。

     

    Abstract: Firstly, the heuristic search algorithm is analyzed and introduced, and A* algorithm is chosen to study the path planning of automatic picking robot. Secondly, it studied the two-dimensional space environment model of picking robot path planning, and established the space model of picking robot path planning by grid method. Finally, the model is simulated by using MATLAB software. The experimental results show that the improved A* algorithm can significantly improve the mobile path of the picking robot, make the planned path smoother, and prove the feasibility and superiority of the improved algorithm.

     

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