A Study on Learning Control of Mobile Robot with Three Wheel Based on Voice Recognition for Smart Factory

This study proposed a new approach to learning control of a mobile robot system with three wheel based voice recognition for smart factory. The motion control technology was applied by back propagation based on multi-layer neural network. A experiment result has been given in which some artificial a...

Full description

Saved in:
Bibliographic Details
Main Authors: Im, Oh-deog, Kim, Hee-Jin, Kim, Kyu-Weon, Han, Sung-hyun
Format: Conference Proceeding
Language:English
Subjects:
Control systems
Iterative Learning Control
Mobile Robot System
Mobile robots
Production facilities
Real Time Control. Voice Recognition
Real-time systems
Simulation
Smart Factory
Speech recognition
Three Wheel
Wheels
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study proposed a new approach to learning control of a mobile robot system with three wheel based voice recognition for smart factory. The motion control technology was applied by back propagation based on multi-layer neural network. A experiment result has been given in which some artificial assumptions about the linear and the angular velocities of mobile robots from recent literature are dropped. In this study, we proposed a new approach to real time control of the position and velocity for mobile robot system. The simulation results were proposed, which confirmed the effectiveness of the proposed control algorithm. Moreover, practical experimental results of the real time control were reported with several real line constraints for mobile robots with three wheels.
ISSN:2642-3901
DOI:10.23919/ICCAS59377.2023.10316856