Optimal path planning for intelligent automated wheelchair using DDSRPSO

PurposeThis paper aims to find the optimal path using directionally driven self-regulating particle swarm optimization (DDSRPSO) with high accuracy and minimal response time.Design/methodology/approachThis paper encompasses optimal path planning for automated wheelchair design using swarm intelligen...

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Bibliographic Details
Published inInternational journal of pervasive computing and communications Vol. 17; no. 1; pp. 109 - 120
Main Authors Thirugnanasambandam, Kalaipriyan, Raghav, R S, Jayakumar Loganathan, Dumka, Ankur, Dhilipkumar, V
Format Journal Article
LanguageEnglish
Published Bingley Emerald Group Publishing Limited 19.02.2021
Subjects
Algorithms
Automation
Computing time
Design
Optimization
Particle swarm optimization
Path planning
Performance evaluation
Performance measurement
Planning
Response time
Robots
Sensors
Swarm intelligence
Velocity
Wheelchairs
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Summary:PurposeThis paper aims to find the optimal path using directionally driven self-regulating particle swarm optimization (DDSRPSO) with high accuracy and minimal response time.Design/methodology/approachThis paper encompasses optimal path planning for automated wheelchair design using swarm intelligence algorithm DDSRPSO. Swarm intelligence is incorporated in optimization due to the cooperative behavior in it.FindingsThe proposed work has been evaluated in three different regions and the comparison has been made with particle swarm optimization and self-regulating particle swarm optimization and proved that the optimal path with robustness is from the proposed algorithm.Originality/valueThe performance metrics used for evaluation includes computational time, success rate and distance traveled.
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ISSN:1742-7371
1742-738X
DOI:10.1108/IJPCC-05-2020-0033