• Redesigned the rover chassis and differential using SolidWorks, create a full-scale model of the rover ensuring all components interact with each other as expected.• Designed and machined a new robotic arm for the rover, performing load analysis and finite element simulations to ensure the arm’s structural integrity and prevent motor overload.• Completed all tasks before the 3-month deadline allowing the team to compete in the 2024 Canadian International Rover Competition.• Currently leading the development of a new rover featuring a lighter chassis, cycloidal gearboxes driving the arm, and robust rocker-bogie system.

• Programmed a wireless robotic arm controller in Python and Arduino using an Xbox controller, Raspberry Pi, and ESP-32 microcontroller to manipulate all 5 arm servo motors simultaneously. • Integrated arm and wheel motor controls, allowing the use of a single controller to switch between driving the rover and operating the arm.• Actively learning Robot Operating System (ROS) to improve systems management and develop the rover’s autonomous navigation capabilities.

• Developed a computer vision algorithm using OpenCV on a Freenove Raspberry Pi Car to detect faces in a live camera feed, triggering actuators based on detection.• Collaborated with a professor and a classmate to deliver an engaging introduction to computer vision and actuator control to 20 high school students with minimal programming experience.• Created hands-on coding exercises that allowed students to apply newly acquired knowledge in a practical setting.