DocumentCode :
2791834
Title :
Object recognition and obstacle avoidance robot
Author :
Balasubramanian, Karthi ; Arunkumar, R. ; Jayachandran, Jinu ; Jayapal, Vishnu ; Chundatt, Bibin A. ; Freeman, Joshua D.
Author_Institution :
Dept. of Electron. & Commun. Eng., Amrita Sch. of Eng., Coimbatore, India
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
3002
Lastpage :
3006
Abstract :
Design highlights of a ldquoThree-wheeled Autonomous Navigational Robotrdquo are presented in this paper. An efficient modular architecture is proposed for ease of adding various modules to the robot. Obstacle detection, pattern recognition and obstacle avoidance are the key aspects of the design. The robot has intelligence built into it that enables it to recognize and pick up balls of a particular colour and ignore other objects in its path. A single board computer mounted on the robot acts as the central controller. It communicates with ultrasonic sensors and motors through multiple microcontrollers and controls the entire motion of the unit. As part of the robot design, a modified H-bridge circuit for driving DC motors efficiently is proposed in this paper.
Keywords :
collision avoidance; navigation; object recognition; robot vision; intelligent robot; microcontroller; modified H-bridge circuit; modular architecture; object recognition; obstacle avoidance robot; obstacle detection; pattern recognition; robot design; three-wheeled autonomous navigational robot; ultrasonic sensor; Centralized control; DC motors; Intelligent robots; Intelligent sensors; Microcontrollers; Micromotors; Navigation; Object recognition; Pattern recognition; Robot sensing systems; Hough Transform; Modified H-Bridge Circuit; Modular Robot Architecture; Object Recognition; Obstacle Detection; SONAR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192399
Filename :
5192399
Link To Document :
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