RoboticsPhys.org Technologyabout 2 hours ago
New Controller Cuts Robotic Arm Error by 89%
1 min read
Researchers describe a genetically optimized fuzzy logic controller in the International Journal of Automation and Control. Simulations show the system reduces average tracking error by 89% compared to conventional feedback control. The method improves resilience against parameter changes for industrial automation tasks like assembly and welding before hardware implementation occurs.
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