Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Information Technology Journal
  Year: 2012 | Volume: 11 | Issue: 9 | Page No.: 1219-1226
DOI: 10.3923/itj.2012.1219.1226
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Visual Navigation Control System for Home Robots

Juing-Shian Chiou, Ming-Yuan Shieh and Kun-Hung Li

Abstract:
This study addressed the design of a home robot based on the visual navigation control system. In order to accomplish basic home services, the robot is designed to have the functions of environmental map construction, autonomous navigation, collision-free control and human-robot interaction. For environmental sensing and object tracking, a series of image features recognition procedures are used to establish the database of objective images. By integrating image information of objectives and ground lines, the robot can determine the relative localities of specific objectives and then perform environmental map construction and robot localization. Moreover, the user can also control the robot remotely to navigate and construct the environmental map through the interaction website. The experimental results demonstrate the environmental adaptability of the robot based on the proposed visual navigation control system.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    A Distributed Control System for Spatial Hyper Redundant Robot using CAN
  •    The Ranked Sample-Mean Monte Carlo Method for Unidimensional Integral Estimation
  •    An Extended Kalman Filter Approach for Flux-Sensorless Control of a Linearized and Decoupled Induction Motor Drive
  •    PFPSO: An Optimised Filtering Approach Based on Sampling
  •    Smart Parking System using Image Processing Techniques in Wireless Sensor Network Environment
How to cite this article:

Juing-Shian Chiou, Ming-Yuan Shieh and Kun-Hung Li, 2012. Visual Navigation Control System for Home Robots. Information Technology Journal, 11: 1219-1226.

DOI: 10.3923/itj.2012.1219.1226

URL: https://scialert.net/abstract/?doi=itj.2012.1219.1226

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 

Curve Bottom