Inter-Reconfigurable Robot Path Planner for Double-Pass Complete Coverage Problem Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3390/math12060902
Recent advancements in autonomous mobile robots have led to significant progress in area coverage tasks. However, challenges persist in optimizing the efficiency and computational complexity of complete coverage path planner (CCPP) algorithms for multi-robot systems, particularly in scenarios requiring revisiting or a double pass in specific locations, such as cleaning robots addressing spilled consumables. This paper presents an innovative approach to tackling the double-pass complete coverage problem using an autonomous inter-reconfigurable robot path planner. Our solution leverages a modified Glasius bio-inspired neural network (GBNN) to facilitate double-pass coverage through inter-reconfiguration between two robots. We compare our proposed algorithm with traditional multi-robot path planning in a centralized system, demonstrating a reduction in algorithm iterations and computation time. Our experimental results underscore the efficacy of the proposed solution in enhancing the efficiency of area coverage tasks. Furthermore, we discuss the implementation details and limitations of our study, providing insights for future research directions in autonomous robotics.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/math12060902
- https://www.mdpi.com/2227-7390/12/6/902/pdf?version=1710847961
- OA Status
- gold
- Cited By
- 1
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392949839
Raw OpenAlex JSON
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https://openalex.org/W4392949839Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/math12060902Digital Object Identifier
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-
Inter-Reconfigurable Robot Path Planner for Double-Pass Complete Coverage ProblemWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-03-19Full publication date if available
- Authors
-
Ash Yaw Sang Wan, Zhenyuan Yang, Lim Yi, Chee Gen Moo, Mohan Rajesh Elara, Anh Vu LeList of authors in order
- Landing page
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https://doi.org/10.3390/math12060902Publisher landing page
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https://www.mdpi.com/2227-7390/12/6/902/pdf?version=1710847961Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2227-7390/12/6/902/pdf?version=1710847961Direct OA link when available
- Concepts
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Path (computing), Planner, Computer science, Robot, Motion planning, Mathematical optimization, Mathematics, Artificial intelligence, Computer networkTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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32Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.landing_page_url | https://doi.org/10.3390/math12060902 |
| publication_date | 2024-03-19 |
| publication_year | 2024 |
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