Artificial Intelligence has nothing to do with the ability to control motion based upon experience and learned behaviors.

• A. True
• B. False
• C. Not sure
• D. Both

Answer: (B)

Learning from experience to steer motion is a central capability in robotics that AI enables. AI systems learn policies that take sensor data and produce motor commands, improving with practice or observations. This is exactly what reinforcement learning, policy search, and imitation learning do. For example, a robot learns a gait or manipulation strategy by trial-and-error in simulation or the real world and then applies it to real motion. Self-driving cars adjust acceleration, steering, and braking based on past encounters, sensors, and predictions—motion control guided by learned behavior. While traditional control methods like PID controllers rely on fixed models, AI adds the ability to adapt to changing dynamics, friction, or payload by learning from data. So the statement is false because AI is fundamentally involved in learning-based motion control.