Welcome to the official GitHub page of the Brigham Young University MAGICC Lab! Here we explore innovative research in robotics, control theory, autonomous systems, and more. Our mission is to push the boundaries of engineering and computer science to enable the next generation of intelligent systems.
At MAGICC Lab, we aim to develop cutting-edge solutions to empower autonomous systems in various applications, from UAVs to intelligent ground robots. Our research is centered around:
- 🧠 Intelligent Control Systems – Crafting algorithms that adapt to dynamic environments
- 🚁 Autonomous Aerial Vehicles – Designing UAVs that operate safely and independently
- 🌌 Multi-Agent Coordination – Enabling seamless cooperation among robots
- 🛠️ Real-Time Embedded Systems – Developing efficient, real-world applications
- Description: Developing advanced navigation solutions for UAVs in complex environments.
- Technology Stack: ROS, Gazebo, PX4, Python, C++
- Description: Algorithms for efficient and reliable path planning in multi-agent systems.
- Technology Stack: MATLAB, Python, Optimization Algorithms
- Description: Using computer vision techniques to detect and avoid obstacles in real-time.
- Technology Stack: OpenCV, TensorFlow, CUDA
... and many more!
Explore the full list of our repositories to learn about our diverse and dynamic projects.
We publish our research findings in top-tier journals and conferences. For a complete list of papers and technical reports, check out our publications page.
Are you passionate about robotics, control systems, or AI? We welcome driven individuals to contribute to our work. Visit our website for information on open positions and how to apply.
- Email: [email protected]
- Website: magicc.byu.edu
- Location: Brigham Young University, Provo, Utah, USA
Thank you for visiting our GitHub! We look forward to collaborating with like-minded innovators who share our passion for advancing the field of autonomous systems.
"Inspiring the next generation of autonomous systems through groundbreaking research and collaboration." – MAGICC Lab