scholarly journals Navigasi Pada Mobile Robot Omnidirectional Dalam Menjelajah Ruangan Menggunakan Support Vector Machine

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Rendyansyah Rendyansyah
Keyword(s):  
Support Vector Machine ◽  
Mobile Robot ◽  
Support Vector

scholarly journals Implementasi Electrinic Nose Dan Support Vector Machine Pada Aplikasi Olfactory Mobile Robot Dalam Mengenali Gas

2018 ◽  
Vol 7 (1) ◽  
pp. 69
Author(s):  
Rendyansyah - Rendyansyah ◽  
Aditya P.P. Prasetyo ◽  
Kemahyanto Exaudi
Keyword(s):  
Support Vector Machine ◽  
Mobile Robot ◽  
Support Vector

Mobile Robot Traversability Prediction Based on Differential Evolution Support Vector Machine

ROBOT ◽  
2011 ◽  
Vol 33 (3) ◽  
pp. 257-264 ◽  
Author(s):  
Yan GUO ◽  
Aiguo SONG ◽  
Jiatong BAO ◽  
Jianwei CUI ◽  
Huatao ZHANG
Keyword(s):  
Support Vector Machine ◽  
Mobile Robot ◽  
Differential Evolution ◽  
Support Vector

Support vector machine-based two-wheeled mobile robot motion control in a noisy environment

2008 ◽  
Vol 222 (7) ◽  
pp. 733-743 ◽  
Author(s):  
L Jiang ◽  
M Deng ◽  
A Inoue
Keyword(s):  
Support Vector Machine ◽  
Mobile Robot ◽  
Wheeled Mobile Robot ◽  
Support Vector ◽  
Robot Motion ◽  
Control Parameters ◽  
Local Minima ◽  
Noisy Environment ◽  
Virtual Force ◽  
Control Scheme

In this paper, a support vector machine (SVM)-based control scheme of a two-wheeled mobile robot is proposed in a noisy environment. The noisy environment is defined as the measured data with uncertainty. The proposed control scheme can control the robot by consideration of local minima, where the controller is based on the Lyapunov function candidate and considers virtual force information. The SVM method is used for estimating the control parameters from the noisy environment. Four simulation results are presented to show the effectiveness of the proposed control scheme in the noisy environment, while the performance of a former method degrades significantly.

Optimal Features and Classes for Estimating Mobile Robot Orientation Based on Support Vector Machine

2011 ◽  
pp. 270-279
Author(s):  
Zainal Fitri Mohd Zolkifli ◽  
Mohamad Farif Jemili ◽  
Fadzilah Hashim ◽  
Siti Norul Huda Sheikh Abdullah
Keyword(s):  
Support Vector Machine ◽  
Mobile Robot ◽  
Support Vector
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