Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKalpitha, N-
dc.contributor.authorMurali, S-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.description.abstractRapidly Exploring Random Tree is a technique that utilizes samples as constraints for arranging the paths from given source to reach multiple goals. A sample is randomly selected from the configuration space. Each data point is represented as a step that helps in travelling of a robot from one point to another. By initiating the search process, the pursuit calculation endeavors to achieve the objective of the proposed work, further the position assisted regions are investigated. However, when compared with A* calculation, the proposed method has a more reasonable good performance. The Simulation results demonstrate for reaching the desired goal starting from a source to destination in dynamic environment.en_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.79(06) [June 2020]en_US
dc.titleOptimal Path Planning using RRT for Dynamic Obstaclesen_US
Appears in Collections:JSIR Vol.79(06) [June 2020]

Files in This Item:
File Description SizeFormat 
JSIR 79(6) 513-516.pdf304.31 kBAdobe PDFView/Open

Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.