Eldho Paul
Papers
4
Total Citations
19
H-Index
2
About
Eldho Paul is a researcher at the forefront of advanced manufacturing, specializing in robot-assisted incremental sheet metal forming—or roboforming. His work addresses a critical challenge in modern production: enabling the flexible, die-less shaping of complex sheet metal components using industrial robots. Paul’s major contributions center on systematically analyzing and mitigating geometric inaccuracies inherent in robotic forming processes. His most-cited paper, "Systematic analysis of geometric inaccuracy and its contributing factors in roboforming" (2024, 13 citations), provides a foundational framework for understanding how robot configuration and stiffness affect part quality. He has also developed enhanced lumped stiffness models for industrial robots under multi-axial loading, balancing model complexity with positional accuracy—a key advancement for both forming and machining applications. With a growing body of work that includes evaluations of robot configuration deviations and comprehensive stiffness modeling frameworks, Paul is helping to bridge the gap between robotic flexibility and precision manufacturing. His research is vital for industries seeking cost-effective, adaptable solutions for producing intricate sheet metal parts without dedicated dies.
Research Focus
Key Achievements
Top Papers
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