DocumentCode
2831420
Title
Implementation of a mobile robot for people following
Author
Wang, Wen-June ; Chang, Jun-Wei
Author_Institution
Dept. of Electr. Eng., Nat. Central Univ., Jhongli, Taiwan
fYear
2012
fDate
June 30 2012-July 2 2012
Firstpage
112
Lastpage
116
Abstract
This work presents the design and implementation of a mobile robot for people following. The mobile robot is moving with three omni-wheels which are driven by DC-motors; the control center is a notebook along with microprocessors BS2p and PIC16F84A. We use image processing technique to recognize the people (master) to be followed and fuzzy logic to control the moving of the mobile robot. Two infrared LEDs are tied in the back of the master and a camera is installed on the robot, then the robot can recognize the LEDs by the camera to “see” where its master is. Moreover, there is an infrared sensor on the top of the robot to estimate the distance between the master and the robot. There are two infrared sensors installed on the right-front and left-front of the robot to detect the obstacle on the way. Three omni-wheels are driven by motors and the motors are controlled by the fuzzy logic to achieve forward, backward moving, and turning. Based on the fuzzy controls on the motors with the aids of adequate sensors, the mobile robot can follow the master with fixed distance and avoid obstacle simultaneously. Finally, a practical experiment is given to demonstrate the performance of the robot.
Keywords
DC motors; collision avoidance; mobile robots; wheels; DC motors; camera; control center; fixed distance; fuzzy control; fuzzy logic; image processing technique; infrared LED; infrared sensors; microprocessors; mobile robot; notebook; obstacle avoidance; obstacle detection; omni-wheels; people following; Image color analysis; Light emitting diodes; Mobile robots; Robot sensing systems; Turning; Wheels; human following; image processing; mobile robot;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science and Engineering (ICSSE), 2012 International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-1-4673-0944-8
Electronic_ISBN
978-1-4673-0943-1
Type
conf
DOI
10.1109/ICSSE.2012.6257159
Filename
6257159
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