Team mc-squared — WRO 2026 Future Engineers

Official codecraftersknust logo

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Introduction

Welcome to the official repository of mc-squared, a passionate robotics team competing in the 2026 World Robot Olympiad (WRO) Future Engineers Challenge.

Our mission is to design and build a reliable, fully autonomous vehicle capable of combining advanced computer vision with precise and intelligent driving. Through continuous iteration, innovation, and teamwork, we strive to create a seamless integration of robust hardware and intelligent software.

This repository documents our design process, technical decisions, and development journey throughout the competition. We hope our work provides valuable insights for fellow robotics enthusiasts, future WRO participants, and anyone interested in autonomous systems.

Feel free to explore our repository, learn from our approach, and reach out to us using the contact information provided below if you have any questions or would like to connect.

Thank you for visiting, and we hope our journey inspires yours!

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The Team

Our team consists of 3 members and a coach, we are mc-squared from Ghana.

Members

• Michael Awinneriba Nkema from Kwame Nkrumah University of Science and Technology
  • nkemamichael1105@gmail.com
• Caleb Alhassan from Kwame Nkrumah University of Science and Technology
  • calebalhassan00@gmail.com
• Claresta Gytha Quist from Kwame Nkrumah University of Science and Technology
  • klaire.builds@gmail.com

Coach

• Dr Kingsford Sarkodie Obeng Kwakye from Kwame Nkrumah University of Science and Technology
  • ksobengkwakye@knust.edu.gh

Links to our socials:

• YouTube: https://www.youtube.com/@codecraftersknust
  • Link attached for our channel containing preparation videos and other content

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Repository Structure

This repository contains all open-source engineering materials, code bases, and structural layouts required to fully reproduce our autonomous vehicle:

• t-photos/ — Contains our official team portrait and our casual/behind-the-scenes engineering photo.
• v-photos/ — Complete 6-sided orthographic photographic catalog of the vehicle (Front, Back, Left, Right, Top, Bottom) for technical inspection compliance.
• video/ — Contains video.md enclosing the official YouTube demonstration link of our vehicle executing autonomous laps.
• schemes/ — High-definition electromechanical schematic diagrams outlining pinouts, shared grounding, and logic-to-high-power isolation.
• src/ — Production source code separated by processing layers (Python for high-level logic, C++ for real-time motor control).
• models/ — Parametric 3D print .STL files for custom steering components, camera mounts level deck mounts.
• other/ — Technical datasets, local calibration sheets, and secure headless connection guides (SSH over direct Ethernet link).

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Special Thanks

We are deeply grateful to the Responsible AI Lab at KNUST for their generous funding and equipment support that made this project possible. Our sincere appreciation also goes to the KNUST College of Engineering Innovation Centre for providing us with workspace and resources for our practice sessions. We'd like to thank the Council for Scientific and Industrial Research - Institute for Scientific and Technological Information for their invaluable guidance and support throughout this journey. Finally, we couldn't have done this without the patience and encouragement of our friends and families, who supported us through countless late nights and tolerated our robot taking over their spaces.