Supported Influence Mapping for Mobile Robot Pathfinding in Dynamic Indoor Environments

Pathfinding is the process of finding the lowest cost route between a pair of points in space. The aforementioned cost can be based on time, distance, the number of required turns, and other individual or complex criteria. Pathfinding in dynamic environments is a complex issue, which has a long history of academic interest. An environment is considered dynamic when its topology may change in real time, often due to human interference. Influence mapping is a solution originating from the field of video games, which was previously used to solve similar problems in virtual environments, but achieved mixed results in real-life scenarios. The purpose of this study was to find whether the algorithm could be used in real indoor environments when combined with information collected by remote sensors.

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Publication Details

Journal
Sensors
Published
2024-11-13
DOI
https://doi.org/10.3390/s24227240
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
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article

Supported Influence Mapping for Mobile Robot Pathfinding in Dynamic Indoor Environments

Dominik Ożóg, Wojciech Łabuński, Paweł Stawarz
Sensors
Robotic Path Planning Algorithms
article

Supported Influence Mapping for Mobile Robot Pathfinding in Dynamic Indoor Environments

Dominik Ożóg, Wojciech Łabuński, Paweł Stawarz
article en

Abstract

Pathfinding is the process of finding the lowest cost route between a pair of points in space. The aforementioned cost can be based on time, distance, the number of required turns, and other individual or complex criteria. Pathfinding in dynamic environments is a complex issue, which has a long history of academic interest. An environment is considered dynamic when its topology may change in real time, often due to human interference. Influence mapping is a solution originating from the field of video games, which was previously used to solve similar problems in virtual environments, but achieved mixed results in real-life scenarios. The purpose of this study was to find whether the algorithm could be used in real indoor environments when combined with information collected by remote sensors.

SensorsVol. 24(22)
Rzeszów University of Technology (PL)
Openalex Percentile: Top 80%
Robotic Path Planning Algorithms
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