Subscribe Now Subscribe Today
Science Alert
 
FOLLOW US:     Facebook     Twitter
Blue
   
Curve Top
Journal of Artificial Intelligence
  Year: 2013 | Volume: 6 | Issue: 1 | Page No.: 52-59
DOI: 10.3923/jai.2013.52.59
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail
Design of Transportation Robot and Ultrasonic Obstacle Detection with Wireless Monitoring
C. Sasikumar, P. Rakeshmalhotra, M. Ragul, D. Manivannan and A. Umamakeswari

Abstract:
Robot is an economical pilotless transportation in forest and industries for detecting obstacles and for monitoring to prevent damages of robot. Avoidance of obstacle is based on PIC microcontroller, Sensor and wireless techniques. The whole system can be made functional and deployed. It stops the robot when there is an obstacle and passes the information to the client about the barrier. The system is monitored through Groupe Special Mobile (GSM) and Radio frequency identification and detection (RFID). Vehicle navigation is carried out using RFID technology and ultrasonic sensor is used to detect the obstacle. If any obstacle is detected, the information is sent to the user through GSM. Battery power and overload is monitored to indicate the worker as well as to send information to main user through GSM. Embedded system helps to minimize human power, decreases power consumption and provides greater performance.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    A Smarter E-currency Management System
  •    Design of GPS-Based System to Avoid Camel-Vehicle Collisions: A Review
  •    Elderly Personal Safety Monitoring in Smart Home Based on Host Space and Travelling Pattern Identification
  •    Hybrid Programmable Logic Controller for Load Automation
  •    Wireless Sensor Actor Network Based on Fuzzy Inference System for Greenhouse Climate Control
How to cite this article:

C. Sasikumar, P. Rakeshmalhotra, M. Ragul, D. Manivannan and A. Umamakeswari, 2013. Design of Transportation Robot and Ultrasonic Obstacle Detection with Wireless Monitoring. Journal of Artificial Intelligence, 6: 52-59.

DOI: 10.3923/jai.2013.52.59

URL: https://scialert.net/abstract/?doi=jai.2013.52.59

 
COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 

       

       

Curve Bottom