2015
DOI: 10.1155/2015/736138
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A Comprehensive Study on Pathfinding Techniques for Robotics and Video Games

Abstract: This survey provides an overview of popular pathfinding algorithms and techniques based on graph generation problems. We focus on recent developments and improvements in existing techniques and examine their impact on robotics and the video games industry. We have categorized pathfinding algorithms based on a 2D/3D environment search. The aim of this paper is to provide researchers with a thorough background on the progress made in the last 10 years in this field, summarize the principal techniques, and descri… Show more

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Cited by 87 publications
(40 citation statements)
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“…A* aims to expand the fewest nodes possible to minimise the cost of the path where the cost is the distance between the start and goal nodes. Algfoor et al [2] survey numerous papers on path nding. eir focus is on the use of di erent grid shapes in path nding and the numerous algorithms available.…”
Section: Related Work 21 A* Path Ndingmentioning
confidence: 99%
“…A* aims to expand the fewest nodes possible to minimise the cost of the path where the cost is the distance between the start and goal nodes. Algfoor et al [2] survey numerous papers on path nding. eir focus is on the use of di erent grid shapes in path nding and the numerous algorithms available.…”
Section: Related Work 21 A* Path Ndingmentioning
confidence: 99%
“…Algfoor et al (2015), popular path finding techniques and algorithms on video games have been summarized, where the effect of such techniques and algorithms on video games are correspondingly discussed and explained. However, it did not focus on the effect of video encoding on game-player experience.…”
Section: Related Workmentioning
confidence: 99%
“…NPC is an autonomous robot because it utilizes a path search algorithm to determine it across points in the grid. Path planning can also be defined as the process of breaking the desired path movement into a number of repetitive steps to create a movement that optimizes the shortest path [1].…”
Section: Introductionmentioning
confidence: 99%