Optimization of Fuzzy Social Force Model Adaptive Parameter using Genetic Algorithm for Mobile Robot Navigation Control

Optimization of Fuzzy Social Force Model Adaptive Parameter using Genetic Algorithm for Mobile Robot Navigation Control

The Social Force Model (SFM) is a popular navigation technique for mobile robots that is primarily used to simulate pedestrian movement. The SFM method's drawback is that several parameter values, such as gain, k, and impact range, σ, must be determined manually. The reaction of the SFM is freq...

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Bibliographic Details
Main Authors: Alif Wicaksana Ramadhan, Bima Sena Bayu Dewantara, Setiawardhana Setiawardhana
Format: Article
Language:English
Published: Universitas Syiah Kuala 2023-03-01
Series:Jurnal Rekayasa Elektrika
Subjects:
social force model
gain
impact range
fuzzy inference system
genetic algorithm
Online Access:https://jurnal.usk.ac.id/JRE/article/view/28330

Internet

https://jurnal.usk.ac.id/JRE/article/view/28330

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