Frank Robotics Lab creates practical, project-based courses in robotics, artificial intelligence, and autonomous systems.

Our courses connect mathematical foundations with real implementation using tools such as ROS 2, Python, C++, Gazebo, MuJoCo, NVIDIA Isaac, computer vision, reinforcement learning, and robot-learning frameworks.

Every course is designed around one principle: robotics is best learned by building. Instead of stopping at theory, students develop complete systems, test them in simulation, measure their performance, and understand why they succeed or fail.

Topics include autonomous mobile robots, visual SLAM, vision-language-action models, humanoids, quadrupeds, surgical robotics, robot mathematics, and physical AI.

Build intelligently. Test honestly. Deploy confidently.