Action Schema Neural Networks: Generalized Policies for Stochastic Planning Problems in the Wargaming Domain
Particle Filter Speed Controller for a Closed-Loop Vehicle System
Analysis of N-Queens Stochastic Algorithms Using Probabilistic Model Checking
Model-Based Design of a Closed-Loop Speed Controller for a Hybrid System
Linear Regression Using Gradient Decent
Build Your Own Ubuntu Linux Router
Build A Home VPN With OpenVPN
Computer Vision Security System
Abstract
The use of security systems is becoming more prevalent in this modern age. With the advent of machine learning algorithms, there is a unique opportunity to integrate machine learning algorithms into modern camera-based security systems. We present an inexpensive, light-weight computer vision security system with an integrated deep neural network. The security system uses active image classification to detect intruders and provide a notification and a video to the owner over email. In addition, the system maintains an integrated graphical user interface controller as well an android application controller.
The project code is available on GitHub here under an MIT License
Aircraft Automated Collision Avoidance
Abstract
Aircraft collision avoidance is a pervasive need in this modern
age of flight. We present a 2-D automated collision avoidance flight
controller for automated collision avoidance amongst 2 aircraft.
This controller is designed to satisfy safety and liveness
requirements, implemented using Simulink and Stateflow, and
verified using safety and liveness monitors.
The Simulink & Stateflow model is available on GitHub here under an MIT License
E-Puck Robot Control And A Star Navigation
Abstract
A common problem in autonomous route planning and controls to implement efficient motor control, sensor feedback, and route planning algorithms to allow a robot to successfully navigate and traverse a line grid maze from a start point to a different destination point in an efficient manner. We present an E-Puck controller that utilized ground sensor feedback to perform a variety of functions; detect nodes (cross-sections), detect lines just past nodes, provideBraitenberg line tracking functionality, and allow for left and right turns on a line grid. In addition, we present an AStar algorithm that is utilized to efficiently solve for a route from a start node to an end node in a line grid maze. Finally, we present tuned parameters for node detection,
The Webots project is available on GitHub here under an MIT License