A robot control system coordinates sensing, planning and actuation. It reads the robot's state, compares that state with a desired motion or outcome, then sends commands that correct errors and move the machine toward its goal.
Control can combine traditional feedback algorithms with learned policies and higher-level artificial intelligence. The control layer must remain responsive and stable because delayed, noisy or unsafe commands can cause falls, collisions or mechanical damage even when the higher-level plan is reasonable.
Acronyms and aliases
robot controller synonymrobotic control system variant
Specialised terms
Related terms
Frequently asked questions
Is a robot controller the same as an AI model?
Not necessarily. A controller may use fixed mathematical rules, learned models or both, while an AI model can provide only one part of the complete control system.
Why does robot control need fast feedback?
Physical conditions change continuously, so fast feedback lets the controller correct errors before small disturbances grow into unstable or unsafe motion.
