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

1 reports1 reporting sourcesUpdated 2 hours ago

Overview

Event synthesis

A genetically optimized fuzzy logic controller for robotic arms is described in the International Journal of Automation and Control.

Generated from attributed reports · Updated 1 hours ago

Event evidence and corrections

1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.

Environment: simulation
Supporting report

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

Exact source · revision 2

science-x

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  1. Tech Xplore — RoboticsSignal
    Optimized fuzzy logic controller cuts average robotic arm tracking error by 89% in simulations

    A genetically optimized fuzzy logic controller for robotic arms is described in the International Journal of Automation and Control.

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