How does a robot control system use sensor information to direct movement?

A robot’s control system functions as its "brain," utilizing sensor data to direct movement through a closed-loop process. This system relies on the following principles:1

• Perception: Sensors, such as cameras, lidar, and pressure sensors, convert physical stimuli from the environment or the robot's internal state into electrical impulses.1
• Comparison: The control system compares the actual state (measured by sensors) against a desired reference value or set point.23
• Decision-Making: Using microprocessors and software—sometimes incorporating artificial intelligence or machine-learning algorithms—the controller determines the necessary adjustments to minimize the difference between the actual and desired values.213
• Actuation: The controller sends signals to actuators, which act as the robot's "muscles." These components, such as electric motors or hydraulic systems, convert energy into physical motion to achieve the intended task.13

This closed-loop feedback control ensures the robot can adapt to changing conditions, maintain stability, and perform precise movements. Advanced systems may also employ adaptive control to modify their own operations for optimal performance.213