Teaching a Humanoid Robot to Play Cornhole

An experiment explores whether Gemini 4 can help a humanoid robot learn to throw bean bags into a cornhole board. The process combines human-video observation, simulation practice, and adjustments based on real-world throws.

- Human motion mapping and camera-based measurement of the board
- Simulated practice to refine the robot’s stance and throwing motion
- Real-world trials and adjustments based on where the bags land

For viewers interested in robotics, AI, or learning through simulation, this offers an overview of the experiment’s workflow. It focuses on the cornhole task rather than detailed hardware specifications or a general guide to robot programming; viewers can use the stages described as a framework for examining similar experiments.