S Sneha

Papers

Total Citations

H-Index

About

S Sneha is a researcher specializing in robotics, automation, and human-computer interaction, with a focus on intelligent systems for object manipulation and gesture recognition. Her most cited work, "Design and implementation of robot assisted arduino based object recognition and sorting" (2023, 3 citations), introduces an automatic material handling system that integrates a robotic arm with advanced sensors and machine learning algorithms to precisely pick and sort objects moving on conveyor belts. This contribution enhances automation efficiency in industrial and manufacturing settings. In her second notable paper, "Hand Gesture Recognition in Complex Background" (2022, 2 citations), Sneha tackles the challenge of accurately interpreting hand gestures in visually cluttered environments, advancing intuitive human-robot interaction. Her research demonstrates a practical approach to bridging hardware and software, using accessible platforms like Arduino to develop cost-effective solutions. Though early in her career, Sneha’s work highlights her ability to address real-world automation challenges, laying groundwork for future innovations in robotic perception and control.