Feb. 6, 2024, 5:46 a.m. | Md Muzakkir Quamar Ali Nasir

cs.LG updates on arXiv.org arxiv.org

This comprehensive review article delves into the intricate realm of fault-tolerant control (FTC) schemes tailored for robotic manipulators. Our exploration spans the historical evolution of FTC, tracing its development over time, and meticulously examines the recent breakthroughs fueled by the synergistic integration of cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), and digital twin technologies (DTT). The article places a particular emphasis on the transformative influence these contemporary trends exert on the landscape of robotic manipulator control and …

advances article control cs.lg cs.ro cs.sy development diagnosis digital digital twin eess.sy evolution exploration ftc machine machine learning review robotic tracing twin

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