Planning Paths with Fewer Turns on Grid Maps
Xu, Hu (International Technological University) | Shu, Lei (International Technological University) | Huang, May (International Technological University)
In this paper, we consider the problem of planning any-angle paths with small numbers of turns on grid maps. We propose a novel heuristic search algorithm called Link* that returns paths containing fewer turns at the cost of slightly longer path lengths. Experimental results demonstrate that Link* can produce paths with fewer turns than other any-angle path planning algorithms while still maintaining comparable path lengths. Because it produces this type of path, artificial agents can take advantage of Link* when the cost of turns is expensive.
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