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.
In the 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