Neeraj Kumar

Papers

Total Citations

H-Index

About

Neeraj Kumar is a researcher whose work sits at the intersection of artificial intelligence and industrial automation. His most recognized contribution to date is his 2019 study on the application of fuzzy logic for the selection of industrial robots, a practically significant challenge faced by manufacturing firms seeking to optimize their automation investments. In this work, Kumar demonstrated how fuzzy logic — a mathematical framework capable of handling uncertainty and imprecision — can be systematically applied to evaluate and rank industrial robots based on multiple competing criteria, offering decision-makers a more nuanced and reliable selection tool than traditional methods. The paper has garnered 5 citations, reflecting its relevance within the specialized community of researchers and engineers working on intelligent decision-making systems in manufacturing contexts. Kumar's research addresses a real-world need, bridging the gap between advanced computational methodologies and practical industrial applications. For students and researchers exploring multi-criteria decision-making, robotics selection, or the deployment of soft computing techniques in engineering environments, Kumar's work offers a valuable methodological foundation worth engaging with closely.