Research on Path Planning of Mobile Robot Based on Improved Jump Point Search Algorithm

Author(s):  
Yunliang Wang ◽  
Sai Zhang ◽  
Yanjuan Wu ◽  
Yiwen Zhao ◽  
Jian Wang
Author(s):  
Daniel D. Harabor ◽  
Tansel Uras ◽  
Peter J. Stuckey ◽  
Sven Koenig

In this paper, we define Jump Point Graphs (JP), a preprocessing-based path-planning technique similar to Subgoal Graphs (SG). JP allows for the first time the combination of Jump Point Search style pruning in the context of abstraction-based speedup techniques, such as Contraction Hierarchies. We compare JP with SG and its variants and report new state-of-the-art results for grid-based pathfinding.


2021 ◽  
pp. 3463-3473
Author(s):  
Yongbin Quan ◽  
Wenqi Wei ◽  
Haibin Ouyang ◽  
Xuejing Lan

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