Random Triangle Sampling Path Planning of Assembly/Disassembly in Environment with Dangerzones
To solve the assembly/disassembly path planning in the environment with danger zones, a RRT-based path planning algorithm was presented. The algorithm addressed a random sampling function which obtains random state from the triangles that describe the dangerzones. The local planner connecting the samples with RRT tree is also introduced.Experimental results show that the algorithm much more effectively searches the paths between dangerzones and obstacles.
path planning random sampling rapidlyexplorating random tree configuration space constraints
PENG Fei ZHAO Yao
Huazhong University of Science and Technology, Wuhan, Hubei, 430072, China
国际会议
长沙
英文
2097-2101
2010-03-13(万方平台首次上网日期,不代表论文的发表时间)