V. Kalaichelvi

Papers

Total Citations

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About

V. Kalaichelvi is a researcher whose work sits at the intersection of robotics, automation, and intelligent systems. Her research primarily focuses on the application of artificial intelligence techniques — particularly artificial neural networks — to solve complex real-world engineering challenges in industrial automation. One of her notable contributions is her 2018 work on tracing weld lines using artificial neural networks, which addresses a critical challenge in robotic manufacturing: developing generalized algorithms capable of guiding robotic manipulators across diverse industrial platforms. This research is particularly significant given the rapid proliferation of robotic manipulators across modern production lines, where adaptable and intelligent control systems are essential for scalable automation. By leveraging neural network methodologies, Kalaichelvi's work contributes to reducing manual intervention and improving the precision and efficiency of automated welding processes. With citations accumulating around her published works, her research is gaining recognition within the robotics and industrial automation community. Her contributions speak to a broader vision of making intelligent automation more accessible and standardized, offering meaningful pathways for researchers and engineers working to advance the next generation of smart manufacturing systems.