Orieka.O.S.E

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PROJECTS

Welcome to my creative headspace!

Feel free to explore my works spanning different fields and
share your thoughts with me

Design Porfolio

S
You can rotate, ZOOM In and expande the 3d designs
SPARE A FEW SECONDS FOR THE DESIGNS TO LOAD
Checkout the portfolio

Course work

1. Basic Engineering Graphics and Computer Aided Design (ENGR 1020)
2. Digital Logics (ELEE 2640)
4. Control Systems (ENGR 4220)
5. Robotics (MENG 4900)

Overview

My portfolio include mechanical, eletromechanical, electronic, robotics and controls engineering designs and simulations

Developed with

1. SolidWorks
2. Quartus
3. MATLAB
4. SIMULINK

AUTOMOTIVE ENGINEERING

Xbox Woodpecker Electrical Vehicle Interface
watch the presentation & Demo

Course work

Hardware and Software Integration (ELEE 4000)
in collaboration with the VICEROY scholars research program sponsored by the Department of Defense

Overview

Developed an electric vehicle control software to enable us to leverage eletric vehicle vulnerabilities by using an Xbox controller to control the Woodpecker Electric Vehicle through a combination of RS232 USB serial communication, ROS2 publisher/subscriber nodes and CAN.

Team Members

1. Andrew Pries, Computer Science Major
2. Brandon Smith, Robotics and Mechatronic Systems Engineering Major
3. Edrees Ahmed, Electrical Engineering Major

Developed with

1. C++
2. ROS2
3. CAN
4. Woodpecker Electric Vehicle Platform
5. Xbox controller.
6. Two Raspberry Pis with Ubuntu (Linux OS)
7. RS485-CAN-HAT

GitHub

Performed

1. Created an event-driven architecture input driver for an Xbox controller to control the EV platform with C++
2. Used C++ & ROS2 on Ubuntu (Linux) OS to write a publisher node that sends controller data to a subscriber
3. The subscriber Raspberry Pi programmed for CAN transmission was connected to the EV CAN bus for control

Performed

4. The Xbox controller can be used to steer, brake and control the acceleration of the electric vehicle platform
5. Presented the project to Senator Gary Peters & National Cyber Director, Harry Coker

ROBOTICS

Robotics 3D Visualisation and Control Application
Check out the Demo!

Course work

Robotics (MENG 4900)

Overview

Through the mathematics, physics and engineering theory of Robotics such as Denavit–Hartenberg parameters and Inverse Kinematics derived manually, the real-time simulation and physical control of the Interbotix Robotic Arm was brought to life using MATLAB and ROS after being measured by hand and designed with SolidWorks.

Team Members


Ziyuan Zhao Robotics and Mechatronic Systems Engineering Major

Developed with

1. MATLAB
2. ROS
3. SolidWorks

GitHub
3D Model

Performed

1. Developed a Robotics 3D visualization app that grants users complete control over a Trossen Interbotix robot
2. The 3D Robot was designed using SolidWorks and the app with MATLAB and the ROS platform on Ubuntu (Linux)
3. Denavit–Hartenberg parameters and Inverse Kinematics were utilised, providing a more robust system

Performed

4. Enables users to control joints of the robot independently and change all joint positions simultaneously
5. The robot can be taught different positions & sequence of movements in a relaxed state with the application
6. The transformation matrix is generated for any position its at from which the Inverse Kinematics can be generated and users can specify other solutions the robot can move to.

EMBEDDED SYSTEMS

WidowX Arm Hiwonder Bionic Hand Embedded System
See my creative capabilities!

Course work

Introduction to Microcontrollers (An introduction to embedded systems using microcontrollers) (ELEE 3860)

Overview

An embedded system capable of performing various hand and arm gestures, play a game and play an instrument.

Partner

Evan Varga, Electrical Engineering Major

Developed with

1. Tiva C Series TM4C123G microcontroller
2. Widow X arm
3. Arduino robocontroller
4. HIWONDER Bionic Hand
5. Parallel Communication
6. Universal Asynchrnous Receive-Transmitter

Programmed with

1. C
2. C++
3. Python
4. Arduino IDE

GitHub

Capable of

1. Playing the song, "Mary has a little lamb" on a mini-keyboard
2. Playing the game, "Rock, paper and scissors"
3. Perfoming 12 hand gestures
4. Counting from 1 - 5

MECHATRONICS

Semi-autonomous robot

Course work

Engineering Computing and Problem-Solving course (ENGR 1023)

Overview

A robot capable of traversing any given environment without coming in contact with any being or object due to its obstacle-avoidance features .

Partner

Carolos Tapia, Mechanical Engineering Major

Built with

1. Jetbot robot chassis
2. H - Bridge
3. DC Motors
4. Infrared distance sensors
5. LEDs

Programmed with

1. C++
2. Arduino IDE

Capable of

1. Manoeuvring and avoiding obstacles in its path
2. Utilises light signalling to inform persons of the specific actions it makes

AVIONICS

Drone development
Watch the
Development Process

Course work

Engineering Computing and Problem-Solving course (ENGR 1023)

Overview & Capabilities

Developed, calibrated and tested an avionics technology, a drone.

Partner

Andreas Diaz, Electrical Engineering Major

Developed with

1. Pure Carbon fiber plates
2. ARRIS electronic speed controller
3. Flight controller
4. Camera
5. Aluminium pillars
6. LEDs

Performed

1. Calibrated the mounted motors and the electronic speed controller and tested the camera and video transmitter
2. Updated the drone’s firmware and replaced necessary drivers, providing up-to-date functionality and softwar

Performed

3. Soldered components together and used heat shrinks, ensuring effective connections and proper insulations
4. Incorporated and configured LEDs to act as indication mechanisms to inform persons of the specific states, actions and functions of the drone

A. I. & Mobile Apps

OVERVIEW

An application powered by the OpenAi generative artificial intelligence, ChatGPT, to function as a personalised healthcare service and educational/professional assistance expert system.

It serves primarily as a tool meant to support and aid current and potential medical professionals. It is not in any way meant or capable of replacing them

CAPABILITIES

- Disease diagnosis and treatment suggestion
- Training individuals joining the healthcare field
- Reducing burnout and the strain on the healthcare system
- Providing free healthcare information to the public

Demo
MiDOK

MiDOK Co-Pilot Application

Built with

Kotlin, Swift, Python, TypeScript, HTML, CSS etc.

Team

Oriekaose Chukwuyem Agholor - AI Python and UI/UX Developer
Eyimofe Oladipo - iOS Swift Application Developer Sarwar Nazrul - Android Kotlin Application Developer
Emmanuel Etukudoh - Website Developer
Lukas Nilsen - Project, Customer and Market Researcher
Bilal Kachir - Graphics and Logo Designer

GitHub