Using a multi-robot system for improved path planning
Numerous terrestrial robotic platforms use computational power for path planning. These platforms typically use a vision system to identify obstacles and perform path planning. In cases where the vision systems are unable to function due to larger obstacles in the area, the paths are chosen as rando...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2023/15/matecconf_rapdasa2023_04003.pdf |
| _version_ | 1797343911129120768 |
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| author | Ahlschlager Kyle Fisher Callen |
| author_facet | Ahlschlager Kyle Fisher Callen |
| author_sort | Ahlschlager Kyle |
| collection | DOAJ |
| description | Numerous terrestrial robotic platforms use computational power for path planning. These platforms typically use a vision system to identify obstacles and perform path planning. In cases where the vision systems are unable to function due to larger obstacles in the area, the paths are chosen as random functions of the given terrain to explore the environment and often results in missteps and moving away from the target location. In this research, we present a multi-robot system comprised of a terrestrial robot with a tethered aerial drone. By making use of the additive overhead view, the target location can be identified, and the exploration and path planning algorithms biased, subsequently reducing the computational cost, and creating a more efficient path planning approach. Focus has been placed on the control architecture of the system. |
| first_indexed | 2024-03-08T10:54:40Z |
| format | Article |
| id | doaj.art-caabe9e7900348afaae8917b24bd9fd4 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-03-08T10:54:40Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-caabe9e7900348afaae8917b24bd9fd42024-01-26T16:40:09ZengEDP SciencesMATEC Web of Conferences2261-236X2023-01-013880400310.1051/matecconf/202338804003matecconf_rapdasa2023_04003Using a multi-robot system for improved path planningAhlschlager Kyle0Fisher Callen1Department of Electrical and Electronic Engineering, Stellenbosch UniversityDepartment of Electrical and Electronic Engineering, Stellenbosch UniversityNumerous terrestrial robotic platforms use computational power for path planning. These platforms typically use a vision system to identify obstacles and perform path planning. In cases where the vision systems are unable to function due to larger obstacles in the area, the paths are chosen as random functions of the given terrain to explore the environment and often results in missteps and moving away from the target location. In this research, we present a multi-robot system comprised of a terrestrial robot with a tethered aerial drone. By making use of the additive overhead view, the target location can be identified, and the exploration and path planning algorithms biased, subsequently reducing the computational cost, and creating a more efficient path planning approach. Focus has been placed on the control architecture of the system.https://www.matec-conferences.org/articles/matecconf/pdf/2023/15/matecconf_rapdasa2023_04003.pdf |
| spellingShingle | Ahlschlager Kyle Fisher Callen Using a multi-robot system for improved path planning MATEC Web of Conferences |
| title | Using a multi-robot system for improved path planning |
| title_full | Using a multi-robot system for improved path planning |
| title_fullStr | Using a multi-robot system for improved path planning |
| title_full_unstemmed | Using a multi-robot system for improved path planning |
| title_short | Using a multi-robot system for improved path planning |
| title_sort | using a multi robot system for improved path planning |
| url | https://www.matec-conferences.org/articles/matecconf/pdf/2023/15/matecconf_rapdasa2023_04003.pdf |
| work_keys_str_mv | AT ahlschlagerkyle usingamultirobotsystemforimprovedpathplanning AT fishercallen usingamultirobotsystemforimprovedpathplanning |