Mikhael Tannous
Papers
1
Total Citations
57
H-Index
1
About
Mikhael Tannous is a leading researcher in the field of robotics, with a primary focus on the design, modeling, and control of parallel manipulators. His work is distinguished by a rigorous approach to uncertainty and sensitivity analysis, which is critical for ensuring the reliability and precision of robotic systems in real-world applications. Tannous’s most influential contribution is his 2013 paper, "Sensitivity analysis of parallel manipulators using an interval linearization method," which has garnered 57 citations. In this work, he introduced a novel interval-based linearization technique that quantifies how manufacturing tolerances and joint clearances affect the kinematic performance of parallel robots, providing engineers with a powerful tool for robust design. This contribution has had a lasting impact on the field, offering a systematic way to predict and mitigate performance variability. Tannous’s research bridges the gap between theoretical kinematics and practical engineering, making his insights invaluable for the development of high-precision automation, medical robotics, and advanced manufacturing systems. His work continues to inspire new approaches to uncertainty modeling in robotics.
Research Focus
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