Thirumalini Selvaraj
National Institute of Technology Tiruchirappalli, Centre for Higher Education
Papers
8
Total Citations
125
H-Index
5
About
Thirumalini Selvaraj is a distinguished researcher specializing in industrial robotics, intelligent fault diagnostics, and autonomous manufacturing systems. With a career spanning over a decade of impactful contributions, Selvaraj has established expertise across two interconnected domains: robotic fault detection and vision-assisted robotic automation. Selvaraj's most celebrated work focuses on fault detection and isolation in industrial robot manipulators, employing hybrid intelligent approaches that combine fuzzy logic with artificial neural networks. These neuro-fuzzy frameworks, explored across multiple publications between 2007 and 2012, address critical safety challenges in remote and hazardous environments, collectively amassing over 55 citations. Equally significant is Selvaraj's pioneering research in vision-assisted robotic deburring, where a 2014 paper garnering 35 citations introduced innovative solutions to reduce complex programming burdens in batch production environments, enabling robots to autonomously adapt to varying workpiece geometries. Beyond automation, Selvaraj has contributed meaningfully to decision-making methodologies in robotics, applying fuzzy analytic hierarchy process and TOPSIS optimization techniques to robotic system selection and process parameter optimization. Collectively accumulating over 125 citations, Selvaraj's body of work represents a sustained commitment to making industrial robotics smarter, safer, and more adaptable — research of enduring relevance to modern manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Vision Assisted Robotic Deburring of Edge Burrs in Cast Parts35 citations · 2014
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- 5Fault diagnosis system for a robot manipulator through neuro fuzzy approach14 citations · 2008
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- 8Teach Less Robotic System for Deburring Workpieces of Various Shapes2 citations · 2015