Control Systems

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Control systems handle the part of robotics and AI that turns high-level goals into actual movement. They take commands from planning modules, read feedback from sensors, and adjust motor speeds or joint positions so the robot stays on the correct path. Classical control methods work well in predictable conditions, while modern approaches rely on optimization or learned strategies to adapt to more complex situations.

A control system must react quickly and stay stable even when the robot encounters unexpected forces or changing surroundings. In practice, control systems guide how a robot moves, manipulates objects, and coordinates its joints or wheels. Well-designed control ensures the robot operates safely around people and other machines.

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