MOONYOUNG'S RESEARCH
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    • KAIST Hubo Lab
    • iRobot
    • inTouch Technologies Inc.
  • Projects
    • Embedded Computer Vision for Robot Localization
    • Vision-based Robotic Arm
    • CUAUV
    • Exoskeleton Arm
    • Robotic Segway
    • Robotic Arm Manipulation
    • Multi-core Processor
    • Piezosensor on Bipedal Robot
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The purpose of the Robotic Candy Sorter project was to implement a 3 degree of freedom robotic arm and vision system that can detect and sort candy by color. This was accomplished by building an integrated system that leverages high-level (Raspberry Pi) and low-level (PIC32) processing to accomplish an ambitious task. The Raspberry Pi (RPi) handled the image processing and sorting algorithms, while the PIC32 microcontroller (uC) maintained control of the motors by solving the inverse kinematics (IK).
Role: Vision & State Machine (partner Peter Slater)
Duration: August 2016 - Dec 2016
Accomplishments:
  • ​Published in CircuitCeller
  • Full website link
Full description of the project can be found on this site:
https://courses.cit.cornell.edu/ece5990/ECE5725_Fall2016_Projects/pas324_ml634/index.html
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  • Home
  • Work Experience
    • KAIST Hubo Lab
    • iRobot
    • inTouch Technologies Inc.
  • Projects
    • Embedded Computer Vision for Robot Localization
    • Vision-based Robotic Arm
    • CUAUV
    • Exoskeleton Arm
    • Robotic Segway
    • Robotic Arm Manipulation
    • Multi-core Processor
    • Piezosensor on Bipedal Robot
  • Blog