A genetically optimized fuzzy logic controller for robotic arms is described in the International Journal of Automation and Control. The system improves accuracy and resilience in simulations of a three-degree-of-freedom robotic arm. Moreover, it outperforms alternative control systems when the device is exposed to disturbances and changes in the system parameters.