Tech Xplore Robotics·· 7 days agoAI score42
Genetic Algorithm-Optimized Fuzzy Controller Cuts Average Tracking Error of 3-DOF Robotic Arm by 89% in Simulation
Summary
A study published in the International Journal of Automation and Control proposes a genetic algorithm-optimized fuzzy controller (GA-FLC) that reduced average root mean square error by 89% compared with conventional feedback control in simulations of a three-degree-of-freedom robotic arm.
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Source: Tech Xplore Robotics · techxplore.com