Keenjhar Ayoob
Papers
2
Total Citations
3
H-Index
1
About
Dr. Keenjhar Ayoob is a rising expert in the field of robotics reliability and uncertainty quantification, with a focused research agenda on enhancing the precision and safety of automated systems. Her work primarily addresses the critical challenge of kinematic reliability in high-degree-of-freedom robotic manipulators, where uncertainties like joint variations, manufacturing tolerances, and external disturbances can compromise performance. Dr. Ayoob’s major contributions include pioneering the application of surrogate modeling and polynomial chaos expansion for time-dependent reliability analysis of robotic trajectories. These methods overcome the limitations of traditional analytical techniques, which often struggle with nonlinear performance functions. Her most cited paper, "Surrogate modeling for time-dependent reliability analysis of robotic manipulator trajectories" (2025), has already garnered 2 citations, while her follow-up work on polynomial chaos expansion has accumulated 1 citation. Though early in her career, Dr. Ayoob’s innovative approach to quantifying uncertainty in robotics trajectories is poised to significantly impact manufacturing accuracy and computational efficiency in industrial automation. Her research is essential reading for students and engineers seeking robust, data-driven solutions for next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
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