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Bibliographic Details
Main Authors: Vera, Sendey, Chuquimarca, Luis, Plaza, Douglas
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2410.04011
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author Vera, Sendey
Chuquimarca, Luis
Plaza, Douglas
author_facet Vera, Sendey
Chuquimarca, Luis
Plaza, Douglas
contents This document presents the study of the problem of location and trajectory that a robot must follow. It focuses on applying the Kalman filter to achieve location and trajectory estimation in an autonomous mobile differential robot. The experimental data was carried out through tests obtained with the help of two incremental encoders that are part of the construction of the differential robot. The data transmission is carried out from a PC where the control is carried out with the Matlab/Simulink software. The results are expressed in graphs showing the path followed by the robot using PI control, the estimator of the Kalman filter in a real system.
format Preprint
id arxiv_https___arxiv_org_abs_2410_04011
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Kalman Filter Applied To A Differential Robot
Vera, Sendey
Chuquimarca, Luis
Plaza, Douglas
Robotics
Systems and Control
93Dxx
D.3.2; B.7
This document presents the study of the problem of location and trajectory that a robot must follow. It focuses on applying the Kalman filter to achieve location and trajectory estimation in an autonomous mobile differential robot. The experimental data was carried out through tests obtained with the help of two incremental encoders that are part of the construction of the differential robot. The data transmission is carried out from a PC where the control is carried out with the Matlab/Simulink software. The results are expressed in graphs showing the path followed by the robot using PI control, the estimator of the Kalman filter in a real system.
title Kalman Filter Applied To A Differential Robot
topic Robotics
Systems and Control
93Dxx
D.3.2; B.7
url https://arxiv.org/abs/2410.04011