Control of robotic systems

The present invention relates generally to robotic systems and, more particularly, to control schemes for robotic systems. In an automated processing system, a system controller uses a meta-heuristic technique for identifying an optimal or near-optimal control schedule for controlling movements and operations of a robot. In particular embodiments, the system controller uses a genetic algorithm to breed a control schedule for the robot. In particular embodiments, the system controller dynamically updates the control schedule based on system operation.