Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4539
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dc.contributor.authorMahapatro, Abhijit-
dc.contributor.authorParhi, Dayal R-
dc.date.accessioned2024-04-16T05:45:13Z-
dc.date.available2024-04-16T05:45:13Z-
dc.date.issued2024-03-
dc.identifier.citation4th International Conference on River Corridor Research and Management (RCRM), IIT Jammu, India, 7-9 March 2024en_US
dc.identifier.urihttp://hdl.handle.net/2080/4539-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractPath planning with obstacle avoidance is crucial for navigating an Autonomous Underwater Vehicle (AUV) in an unknown and obstacle-rich three-dimensional space. Many studies have been conducted to develop a controller that can effectively navigate through an obstacle-rich environment for a mobile robot in a two-dimensional terrain. However, the trajectory planning of AUVs in a three-dimensional environment is still challenging. This paper aims to develop an optimized obstacle-free path in a three-dimensional environment using a modified Tuna Swarm Optimization (MTSO) technique. There are four techniques in TSO; each is selected based on the requirement and independent of the other. This proposed MTSO controller is tested under laboratory and computer simulation to determine its effectiveness. Less than 5% deviation is noticed between them due to signal delay and hydrodynamic effect on the AUV.en_US
dc.subjectAutonomous Underwater Vehicleen_US
dc.subjectTuna Swarm Optimizationen_US
dc.subjectPath Planningen_US
dc.subjectNavigationen_US
dc.subjectOptimizationen_US
dc.titleAnalysis of Modified Tuna Swarm Optimization Technique for Path Planning of Underwater Vehicleen_US
dc.typePresentationen_US
Appears in Collections:Conference Papers

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