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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).
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Role: Vision & State Machine (partner Peter Slater)
Duration: August 2016 - Dec 2016 Accomplishments:
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Full description of the project can be found on this site:
https://courses.cit.cornell.edu/ece5990/ECE5725_Fall2016_Projects/pas324_ml634/index.html
https://courses.cit.cornell.edu/ece5990/ECE5725_Fall2016_Projects/pas324_ml634/index.html
