Shitharth Selvarajan
Debre Tabor University, Leeds Beckett University, Amhara Agricultural Research Institute
Papers
3
Total Citations
42
H-Index
2
About
Shitharth Selvarajan is a leading researcher at the intersection of intelligent robotics, computer vision, and industrial automation, whose work is shaping the future of smart agriculture and Industry 5.0. His most cited paper, "Intelligent robotics harvesting system process for fruits grasping prediction" (2024, 28 citations), introduces a groundbreaking deep learning-based image processing system for autonomous apple picking. By integrating a lightweight one-step detection network with advanced computer vision, Selvarajan enables robots to accurately predict grasping positions, directly addressing a critical bottleneck in agricultural robotics. In "SL-RI: Integration of supervised learning in robots for industry 5.0 automated application monitoring" (2023, 12 citations), he pioneers a novel design methodology for real-time verification of robotic operations, a cornerstone for the next generation of smart industries. His work also extends to challenging underwater environments, as seen in "Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation" (2023), where he tackles network connectivity issues in subsea automation. With a growing citation impact, Selvarajan’s contributions are not only advancing robotic perception and control but also providing practical solutions for sustainable, automated systems across diverse domains.
Research Focus
Key Achievements
Top Papers
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