Trajectory equilibrium state detection and avoidance algorithm for multi-autonomous potential field mobile robots.
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| Title: | Trajectory equilibrium state detection and avoidance algorithm for multi-autonomous potential field mobile robots. |
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| Authors: | Statheros, T.1, Howells, G.1, McDonald-Maier, K.2 |
| Source: | Electronics Letters (Institution of Engineering & Technology). 7/19/2007, Vol. 43 Issue 15, p799-801. 3p. 3 Graphs. |
| Subjects: | Mobile robots, Algorithms, Navigation, Robotics |
| Abstract: | An exceptionally efficient algorithm for local multi-mobile robot autonomous navigation is presented. The algorithm guides each robot independently although the algorithmic principle is identical for each robot. This approach is a combination of a novel rule-based mathematical algorithm and the virtual force field (VFF) navigational method. The need for the combinational algorithm is due to VFF's inability to guide efficiently multi-autonomous robots in the same environment owing to a trajectory equilibrium state (TES). TES is a new state that dramatically degrades performance of the VFF and is firstly identified and defined within this study. Test results of the novel algorithm yield near-optimum trajectories for the mobile robots. [ABSTRACT FROM AUTHOR] |
| Copyright of Electronics Letters (Institution of Engineering & Technology) is the property of Institution of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 25787528 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Trajectory equilibrium state detection and avoidance algorithm for multi-autonomous potential field mobile robots. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Statheros%2C+T%2E%22">Statheros, T.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Howells%2C+G%2E%22">Howells, G.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22McDonald-Maier%2C+K%2E%22">McDonald-Maier, K.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electronics+Letters+%28Institution+of+Engineering+%26+Technology%29%22">Electronics Letters (Institution of Engineering & Technology)</searchLink>. 7/19/2007, Vol. 43 Issue 15, p799-801. 3p. 3 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mobile+robots%22">Mobile robots</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Navigation%22">Navigation</searchLink><br /><searchLink fieldCode="DE" term="%22Robotics%22">Robotics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: An exceptionally efficient algorithm for local multi-mobile robot autonomous navigation is presented. The algorithm guides each robot independently although the algorithmic principle is identical for each robot. This approach is a combination of a novel rule-based mathematical algorithm and the virtual force field (VFF) navigational method. The need for the combinational algorithm is due to VFF's inability to guide efficiently multi-autonomous robots in the same environment owing to a trajectory equilibrium state (TES). TES is a new state that dramatically degrades performance of the VFF and is firstly identified and defined within this study. Test results of the novel algorithm yield near-optimum trajectories for the mobile robots. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Electronics Letters (Institution of Engineering & Technology) is the property of Institution of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1049/el:20071197 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 3 StartPage: 799 Subjects: – SubjectFull: Mobile robots Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Navigation Type: general – SubjectFull: Robotics Type: general Titles: – TitleFull: Trajectory equilibrium state detection and avoidance algorithm for multi-autonomous potential field mobile robots. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Statheros, T. – PersonEntity: Name: NameFull: Howells, G. – PersonEntity: Name: NameFull: McDonald-Maier, K. IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 07 Text: 7/19/2007 Type: published Y: 2007 Identifiers: – Type: issn-print Value: 00135194 Numbering: – Type: volume Value: 43 – Type: issue Value: 15 Titles: – TitleFull: Electronics Letters (Institution of Engineering & Technology) Type: main |
| ResultId | 1 |
