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Three-dimensional Local Path Planning of Robot Based on AR-ANT Algorithm and B-spline Curve

机译:基于AR-ANT算法和B样条曲线的机器人三维局部路径规划

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In order to ensure the safety of robot, the problem of robot path planning is studied. First by rasterize approach to 3 dimension modeling, the search space and at a safe distance, the execution time and cost as the objective function, an improved pheromone update rule of ant colony algorithm, then combined with simulated annealing algorithm is effective and good convergence and optimization results, the three dimensional line path planning by using the B spline interpolation method and curve fitting, generating a smooth path, conducive to the stable robots. At last, the feasibility and local adaptability of the algorithm are verified by MATLAB simulation and physical experiment. The results show that compared with the traditional algorithm, the path planned by the algorithm is safer and more optimal, and the quality of robot path planning is effectively improved.
机译:为了保证机器人的安全性,研究了机器人路径规划问题。首先通过栅格化的方法对三维空间建模,以搜索空间和安全距离,执行时间和成本为目标函数,改进了蚁群算法的信息素更新规则,然后与模拟退火算法相结合是有效的,并且收敛性好。优化结果,通过使用B样条插值法和曲线拟合进行三维线径规划,生成一条平滑的路径,有利于机器人的稳定。最后,通过MATLAB仿真和物理实验验证了该算法的可行性和局部适应性。结果表明,与传统算法相比,该算法规划的路径更安全,更优化,有效地提高了机器人路径规划的质量。

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