A算法、D算法求机器人三维路径规划问题

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机器人三维路径规划问题涉及在三维空间中为机器人规划出一条从起点到终点的最优路径，同时需要避开各种障碍物，并满足一定的性能指标。要实现这一目标，不仅需要对环境进行精确建模，还需要运用高效的搜索和优化算法。 A*算法是一种用于在图中找到从起始节点到目标节点的最短路径的启发式搜索算法，它结合了Dijkstra算法的确保性（保证找到一条最短路径）和贪心算法的高效性（快速找到目标）。

# 3D_PathPlanner Robot 3D path planning with Astar and Dstar Algorithms Environment: python3.6 Numpy Matplotlib Usage: Type command 'python main.py -h' for detail. ![image](https://github.com/DavidLining/3D_PathPlanner/blob/master/Figure_1.png) ![image](https://github.com/DavidLining/3D_PathPlanner/blob/master/Figure_2.png)

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3D_PathPlanner-master.zip 大约有25个文件

3D_PathPlanner-master/
3D_PathPlanner-master/.spyproject/
3D_PathPlanner-master/.spyproject/codestyle.ini 62B
3D_PathPlanner-master/.spyproject/encoding.ini 64B
3D_PathPlanner-master/.spyproject/vcs.ini 92B
3D_PathPlanner-master/.spyproject/workspace.ini 289B
3D_PathPlanner-master/Figure_1.png 87.85KB
3D_PathPlanner-master/Figure_2.png 96.71KB
3D_PathPlanner-master/README.md 342B
3D_PathPlanner-master/__pycache__/
3D_PathPlanner-master/__pycache__/astar.cpython-36.pyc 1.72KB
3D_PathPlanner-master/__pycache__/dstar.cpython-36.pyc 4.94KB
3D_PathPlanner-master/__pycache__/env.cpython-36.pyc 3.88KB
3D_PathPlanner-master/__pycache__/node.cpython-36.pyc 1.96KB
3D_PathPlanner-master/__pycache__/plot.cpython-36.pyc 1.13KB
3D_PathPlanner-master/__pycache__/state.cpython-36.pyc 906B
3D_PathPlanner-master/__pycache__/utility.cpython-36.pyc 1.54KB
3D_PathPlanner-master/astar.py 2.16KB
3D_PathPlanner-master/dstar.py 6.12KB
3D_PathPlanner-master/env.py 5.3KB
3D_PathPlanner-master/main.py 4.53KB
3D_PathPlanner-master/node.py 1.92KB
3D_PathPlanner-master/plot.py 1018B
3D_PathPlanner-master/state.py 799B
3D_PathPlanner-master/utility.py 1.67KB

A*算法、D*算法求机器人三维路径规划问题

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资源文件列表:

A算法、D算法求机器人三维路径规划问题