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http://hdl.handle.net/2080/4442
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DC Field | Value | Language |
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dc.contributor.author | Jain, Amulya | - |
dc.contributor.author | Parhi, Dayal R. | - |
dc.date.accessioned | 2024-03-01T11:27:44Z | - |
dc.date.available | 2024-03-01T11:27:44Z | - |
dc.date.issued | 2024-02 | - |
dc.identifier.citation | 3rd International Symposium on Sustainable Energy And Technological Advancements(ISSETA), NIT Meghalaya, 23-24 February 2024 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/4442 | - |
dc.description | Copyright belongs to proceeding publisher | en_US |
dc.description.abstract | The primary focus of this paper is the navigation of a mobile robot using Reptile Search Algorithm technique. A multi-functional 4WD UNO R3 robot car has been used for the experimental purposes. RSA technique uses the sensory data fed in the Arduino board and helps in the path-mapping of the mobile robot from start to the goal point. This algorithm and the sensory data together deals with a number of obstacles of various shapes and sizes while mapping the route from the start to the goal point. RSA helps in avoiding local minima during the quest of finding global minima. In this paper both, simulation and experimental works has been carried out. Obtained results show an average deviation of less than 5%. The results are depicted in the terms of the time of navigation and the path length. The RSA technique lags in the Feature Selection, hence Feature Selection is the prime focus of this paper | en_US |
dc.subject | Reptile search algorithm | en_US |
dc.subject | AI | en_US |
dc.subject | mobile robot | en_US |
dc.subject | navigation & control | en_US |
dc.title | Analysis of Reptile Search Algorithm Technique for Mobile Robot Navigation in a Clustered Environment | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2024_ISSETA_AJain_Analysis.pdf | 1.85 MB | Adobe PDF | View/Open Request a copy |
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