Using gradient descent to control a differential wheeled robot to a goal
- Created a MATLAB script that takes LIDAR data from a Neato robot vacuum and directs the robot toward an intended target using a potential field behavior architecture
- Applied random sample consensus (RANSAC) and gradient descent algorithms to strategically drive the robot around obstacles detected