首页> 外文期刊>Journal of the International Association for Shell and Spatial Structures >PATH PLANNING FOR ROLLING LOCOMOTION OF POLYHEDRAL TENSEGRITY ROBOTS BASED ON DIJKSTRA ALGORITHM
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PATH PLANNING FOR ROLLING LOCOMOTION OF POLYHEDRAL TENSEGRITY ROBOTS BASED ON DIJKSTRA ALGORITHM

机译:基于狄克斯特拉算法的多面体张紧机器人滚动运动路径规划

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Tensegrity-based locomotive robots have attracted more and more interests from multidisciplinary engineering community. To realize long distance locomotion for tensegrity robots in a given land, path planning is usually needed. This paper proposes a path planning approach for rolling locomotion of polyhedral tensegrity robots. Given the start vertex, target vertex and the directed graph G which indicates the possible paths, the optimal path with lowest cost can be found by Dijkstra algorithm. Numerical and experimental examples are carried out with a six-bar tensegrity robot prototype. Both motion distance and terrain characteristics are considered within the cost. The proposed approach is generally verified by the examples. A comparison between the numerical result and the experimental result is also presented.
机译:基于张力的机车机器人吸引了来自多学科工程界的越来越多的兴趣。为了在给定的土地上为张力机器人实现长距离运动,通常需要进行路径规划。本文提出了一种多面体张力机器人滚动运动的路径规划方法。给定起始顶点,目标顶点和指示可能路径的有向图G,可以通过Dijkstra算法找到成本最低的最优路径。用六杆张紧机器人原型进行了数值和实验示例。运动距离和地形特征都在成本之内。实例通常验证了所提出的方法。还给出了数值结果与实验结果之间的比较。

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