Implemented both feature-extraction based algorithms and end-to-end Deep Q learning method to learn to control objects in-game directly from high dimensional game screen input (using Opencv ). The DQN is a Convolutional neural network that reads in pixel data from the game and the game score.
Autonomous Robots - Sampling-based algorithms – Rapidly Exploring Random Tree - My Lab Work
This package provides launch files for Gazebo simulation needed to test the rrt_exploration package
repository to accompany "A Systematic Approach to Learning Robot Programming with ROS"