Optimized fuzzy logic controller cuts average robotic arm tracking error by 89% in simulations

T2Covered by 1 source · first reported by Phys.org / ScienceDaily (tech) at 03 Nov, 17:20 UTC

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…

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• T2Optimized fuzzy logic controller cuts average robotic arm tracking error by 89% in simulationsPhys.org / ScienceDaily (tech)03 Nov, 17:20