AI-Driven Robotics
This summer in the Robot Garage, League Labs students will use AI to give robots capabilities that would normally take months of manual programming. Learn to use AI as a collaborator to figure out how to make robots see, navigate, plan paths, and respond to their environment.
Course Overview
Students will work with physical robots in the League’s Robot Garage in San Diego, using AI tools to explore computer vision, path planning, sensor integration, and autonomous behavior. The emphasis is on the discovery process — using AI to research approaches, generate and test code, interpret sensor data, and iterate toward working solutions.
This is not a follow-the-instructions robotics class. Students will encounter real problems (the robot doesn’t see the obstacle, the path planner gets stuck, the motor response is too slow) and use AI to help them understand why and figure out what to try next.
By the end of the summer, students will have:
- Hands-on experience programming physical robots with AI assistance
- Working knowledge of computer vision, path planning, and sensor-driven behavior
- A portfolio of robot capabilities they designed and implemented
- An understanding of how AI changes the process of solving hard engineering problems
Who it’s for: Students in grades 8–12 with some programming experience. Interest in robotics, electronics, or mechanical systems is more important than extensive coding background. You should be comfortable getting your hands dirty.
Format: Weekly in-person sessions at the Robot Garage (San Diego) plus online skill clinics. Students work on shared robot platforms and contribute capabilities that build on each other.
Cost: Free
