• 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