Autonomous Navigation and Obstacle Detection

This project was the final deliverable for the Robots module of Quantitative Engineering Analysis 1. Here, I and my partner wrote an algorithm based on the theory of potential wells to autonomously navigate a Neato vacuum up to the blue bucket while avoiding the wooden boxes. The Neato vacuum was equipped with a LiDAR module that was used as the perception hub for this project.

The video submission for this project is shown below.

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Inverted Pendulum Robot

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Facial Recognition Algorithm