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Robotics Software Porfolio

AI meets public sanitation

Mask R-CNN litter detector

In this project we developed a computer vision based method to identify and track common litter found on city side walks. In this project we developed a synthetic dataset that was used to train a Mask R-CNN classifier.

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    A simple solution to a hard problem

    Follow-bot

    This was a four-wheel drive robot that was designed to follow a human collaborator. Using solely a low-cost lidar and a UWB sensor, this robot used a robotics software package including a custom designed fuzzy-logic controller implemented using Python and ROS to follow its human counter part. This robot could be used to pull cargo, sweep, or cut grass.

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