Control Systems in AI are engineering frameworks that direct and manage robot actions to achieve specific objectives. They utilize algorithms to monitor inputs, process data, and generate control signals, ensuring the robot behaves as intended. These systems maintain stability, performance, and adaptability in dynamic environments, enabling robots to perform precise tasks reliably and efficiently.