Hi, I'm Kofi

I engineered and programmed an autonomous robot using an Arduino microcontroller and a custom chassis. The system utilized a two-wheel H-bridge motorized drive with QTI and TCS3200 color sensors for navigation and object detection. I designed and implemented the state-machine-based C/C++ code for autonomous operation, including line-following, color-based state transitions, and a strategic sweep-and-hoard mission.

This project involved building a small, autonomous RC car from the ground up, integrating various sensors and controls. The core of the work focused on implementing and fine-tuning PID controllers for both linear distance and angular orientation, allowing the robot to navigate a mapped environment, avoid obstacles, and perform specific stunts like a 180-degree turn. The final challenge involved combining these systems for full-route planning and execution.

Built a Raspberry Pi-powered dashcam system designed for high reliability and deep vehicle integration. The core of the work centered on implementing a two-way camera system where all OpenCV-captured footage was managed by a custom power management circuit to guarantee preservation even if the ignition was cut. Concurrently, a mediamtx server was configured to enable live, web-based video streaming. The final user experience involved integrating an intuitive Python pigame interface on an Adafruit touchscreen, which works in parallel to display critical live OBD-II stats (velocity, RPM, engine load) directly alongside the camera functionality.

This project describes all the challenges and steps I went through whilst simulating a robotic run (both robotic car and robotic arm implementations) in a virtual environment during my time in the ECE4770 Foundations of Robotics class. From an introduction to robotics as a whole, degrees of freedom and how they are measured to Klarman and Bayesian filters and the Ziegler Nichols Method for the estimation of PID and MPC controllers.

This project implements a heart rate monitoring system in Verilog and assembly on a simple processor. It counts heartbeat pulses from a sensor input, computes beats per minute over a fixed sampling window, and displays the result on a two-digit 7-segment display.

This project entailed using LEDs and a microcontroller to analyze which different frequencies were being identified from and an audio output.