JOURNAL ARTICLE

Optimal Path Planning for Mobile Robot Using Tailored Genetic Algorithm

Fei LiuShan LiangDong Xiao Xian

Year: 2013 Journal:   TELKOMNIKA Indonesian Journal of Electrical Engineering Vol: 12 (1)   Publisher: Institute of Advanced Engineering and Science (IAES)

Abstract

During routine inspecting, mobile robot may be requested to visit multiple locations to execute special tasks occasionally. This study aims at optimal path planning for multiple goals visiting task based on tailored genetic algorithm. The proposed algorithm will generate an optimal path that has the least idle time, which is proven to be more effective on evaluating a path in our previous work. In proposed algorithm, customized chromosome representing a path and genetic operators including repair and cut are developed and implemented. Afterwards, simulations are carried out to verify the effectiveness and applicability. Finally, analysis of simulation results is conducted and future work is addressed. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3127

Keywords:
Motion planning Computer science Genetic algorithm Path (computing) Mobile robot Artificial intelligence Robot Algorithm Machine learning Computer network

Metrics

14
Cited By
1.04
FWCI (Field Weighted Citation Impact)
22
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Smart Parking Systems Research
Physical Sciences →  Engineering →  Building and Construction
Control and Dynamics of Mobile Robots
Physical Sciences →  Engineering →  Control and Systems Engineering

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