U. Vignesh

Vellore Institute of Technology University, Amrita Vishwa Vidyapeetham

Papers

Total Citations

H-Index

About

U. Vignesh is a researcher whose work sits at the intersection of computer vision, robotics, and artificial intelligence, with a particular focus on real-time, human-centric applications. His most cited paper, “An Empirical Review on Clustering Algorithms for Image Segmentation of Satellite Images” (2024, 5 citations), critically analyzes the computational bottlenecks of segmentation algorithms for time-sensitive tasks such as autonomous navigation and disaster response, highlighting the gap between algorithmic complexity and practical hardware deployment. Vignesh’s earlier work on a “Digital Human Action Copying Robot” (2013, 2 citations) introduced an intuitive, gesture-based control system for robotics, leveraging natural human interaction to simplify machine operation. More recently, his 2025 study “Enhancing Hand Gesture Control Using 3DCNN-LSTM Approach” (1 citation) advances this line of inquiry by integrating spatiotemporal deep learning models for more robust and accurate gesture recognition. Although his citation counts are modest, Vignesh’s contributions are notable for bridging foundational image processing challenges with deployable, gesture-driven robotic systems—a niche that holds promise for assistive technologies and human-robot collaboration.