Optimal control is a branch of control theory that computes control inputs minimising (or maximising) a performance criterion — such as energy consumption, time, or tracking error — subject to system dynamics and constraints. In robotics, optimal control underpins trajectory optimisation, model predictive control, and reinforcement learning-based policy synthesis.