Papers
1
Total Citations
5
H-Index
1
About
Dr. Maincer Dihya is a leading researcher in robotics and intelligent control systems, with a core focus on fault detection, compensation, and robust manipulation. Their most cited work introduces a pioneering switched time delay control scheme that integrates artificial neural networks—specifically multilayer perceptrons—to replicate a robot’s fault-free behavior, enabling real-time sensor fault detection and seamless compensation in robot manipulators. This contribution, published in 2021, has garnered 5 citations, reflecting its growing influence in the field of autonomous systems and safety-critical robotics. Dr. Dihya’s research bridges the gap between neural network adaptability and classical control theory, offering practical solutions for enhancing robot reliability in industrial and service applications. Their work is particularly notable for addressing the challenge of maintaining performance under sensor degradation, a key issue in long-duration robotic operations. By advancing switched time delay control with AI-driven fault tolerance, Dr. Dihya is shaping the future of resilient robotic systems, making their research essential reading for students and engineers interested in intelligent fault management and adaptive control.
Research Focus
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Top Papers
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