From rough mereology to robust navigation: Expanding mobile robot strategies with diverse maps and enhanced goal-targeting mechanisms

Path planning is one of the most important problems in mobile robotics. Particularly challenging in selecting an appropriate path planning method is the choice of a method for complex obstacle configurations. The problems of path planning, among many other methods, come into play with approaches based on the application of potential fields methodology based on physical anomalies with gravitational or electromagnetic fields. This idea makes it possible to navigate in complex maps. The idea of applying these fields in terms of rough mereology was developed by Polkowski and Ośmialowski (2008), who introduced the method of the mereological potential field in the framework of mereological spatial reasoning. This particular work is one of a series of extensions of this method where our final goal is to apply the idea of path planning in a 3D environment. To this end, we are preparing and testing our own library for controlling mobile robots, improving the real-time path planning capability and implementing a set of algorithms for practical testing.

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Publication Details

Journal
International Journal of Applied Mathematics and Computer Science
Published
2025-01-01
DOI
https://doi.org/10.61822/amcs-2025-0004
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

From rough mereology to robust navigation: Expanding mobile robot strategies with diverse maps and enhanced goal-targeting mechanisms

Piotr Artiemjew, Wojciech Cybowski, Aleksandra Szpakowska
International Journal of Applied Mathematics and Computer Science
Robotic Path Planning Algorithms
article

From rough mereology to robust navigation: Expanding mobile robot strategies with diverse maps and enhanced goal-targeting mechanisms

Piotr Artiemjew, Wojciech Cybowski, Aleksandra Szpakowska
article en

Abstract

Path planning is one of the most important problems in mobile robotics. Particularly challenging in selecting an appropriate path planning method is the choice of a method for complex obstacle configurations. The problems of path planning, among many other methods, come into play with approaches based on the application of potential fields methodology based on physical anomalies with gravitational or electromagnetic fields. This idea makes it possible to navigate in complex maps. The idea of applying these fields in terms of rough mereology was developed by Polkowski and Ośmialowski (2008), who introduced the method of the mereological potential field in the framework of mereological spatial reasoning. This particular work is one of a series of extensions of this method where our final goal is to apply the idea of path planning in a 3D environment. To this end, we are preparing and testing our own library for controlling mobile robots, improving the real-time path planning capability and implementing a set of algorithms for practical testing.

International Journal of Applied Mathematics and Computer ScienceVol. 35(1)
Openalex Percentile: Top 95%
Robotic Path Planning Algorithms
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From rough mereology to robust navigation: Expanding mobile robot strategies with diverse maps and enhanced goal-targeting mechanisms — Piotr Artiemjew, Wojciech Cybowski, et al. · International Journal of Applied Mathematics and Computer Science (2025) | TGRS Research Map | TGRS