In this project I programmed a rover in simulation to collect different samples in a simulated world map. I used techniques of image processing to transform the camera images to useful data and created a decision tree for the rover to navigate through the terrain.

In this project, I learned to control a kuka kr210 arm with 6 degrees of freedom to perform pick and place actions using inverse kinematics

In this project I built a perception pipeline for data received from a RGBD camera. And used the filtered and handled data to control a PR2 robot in simulation. Essentially performed object recognition and organized different items in specific boxes.

In this project, we created and trained a FCN. The goal of the project is to control a drone to locate and follow a target in a noisy environment.

PID Control Drone

Tuned the 3 PID controllers to control the quadcopter height, attitude and position in simulation