Tuesday, May 7, 2019


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

Read the report here.