Wich Probabilistic Roadmap method should be used by a robot in an actual environment? An analysis of the main methods through simulations

2016 ◽  
Vol 14 (4) ◽  
pp. 2020-2025
Author(s):  
Bruno Palma ◽  
Cabral Lima ◽  
Wouter Caarls ◽  
Danilo Vettorazzi
2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Yingfeng Zhao ◽  
Jianhua Liu ◽  
Jiangtao Ma ◽  
Linlin Wu

AbstractCurrent studies on cable harness layouts have mainly focused on cable harness route planning. However, the topological structure of a cable harness is also extremely complex, and the branch structure of the cable harness can affect the route of the cable harness layout. The topological structure design of the cable harness is a key to such a layout. In this paper, a novel multi-branch cable harness layout design method is presented, which unites the probabilistic roadmap method (PRM) and the genetic algorithm. First, the engineering constraints of the cable harness layout are presented. An obstacle-based PRM used to construct non-interference and near to the surface roadmap is then described. In addition, a new genetic algorithm is proposed, and the algorithm structure of which is redesigned. In addition, the operation probability formula related to fitness is proposed to promote the efficiency of the branch structure design of the cable harness. A prototype system of a cable harness layout design was developed based on the method described in this study, and the method is applied to two scenarios to verify that a quality cable harness layout can be efficiently obtained using the proposed method. In summary, the cable harness layout design method described in this study can be used to quickly design a reasonable topological structure of a cable harness and to search for the corresponding routes of such a harness.


2010 ◽  
Vol 44-47 ◽  
pp. 596-604
Author(s):  
Kang Jia ◽  
Jun Hong ◽  
Yun Long Li ◽  
Zong Bin Li

This paper proposes a new method to construct an approximate Topological Graph based on the traditional constructing voronoi diagram by discrete grids, which combines the PRM (Probabilistic Roadmap Method) path planning thought. By means of the approximate topological graph and the hierarchical thought, the efficiency of path planning is improved. Meanwhile, this method can reduce the unnecessary collision detection and can be effectively used in the path planning of mechanical produce. In the end, this method is analyzed and evaluated, and meanwhile some improvements and simulations about this method are given.


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