Fast Path Planning using Multi-Resolution Boundary Value Problems

被引:4
|
作者
Silveira, Renato [1 ]
Prestes, Edson [1 ]
Nedel, Luciana [1 ]
机构
[1] Univ Fed Rio Grande do Sul, Inst Informat, Porto Alegre, RS, Brazil
关键词
D O I
10.1109/IROS.2010.5650673
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
BVP Path Planners generate potential fields through a differential equation whose gradient descent represents navigation routes from any point of the environment to a goal position. Resulting paths are smooth and free from local minima. In spite of these advantages, this kind of planners consumes a lot of time to produce a solution. In this paper, we present a new approach that combines our BVP Path Planner with the Full Multigrid Method, which solves elliptic partial differential equations using a hierarchical strategy. Our new approach, called Hierarchical BVP Path Planner, enables real-time performance on large environments. Results show that our proposal spends less than 1% of the time needed to compute a solution using our original planner in several environments.
引用
收藏
页码:4710 / 4715
页数:6
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