Papers
7
Total Citations
77
H-Index
5
About
Hariprasath Manoharan is a researcher at the forefront of intelligent robotics, automation, and AI-driven systems, with a particular focus on applications in agriculture, healthcare, and Industry 5.0. His most cited work, "Intelligent robotics harvesting system process for fruits grasping prediction" (2024, 28 citations), introduces a deep learning-based vision system for autonomous apple picking, combining lightweight detection networks with computer vision to optimize grasping points—a significant step toward precision agriculture. Manoharan has also contributed to public health, developing sensor-based automation monitoring for COVID-19 detection using backpropagation algorithms (2021, 17 citations), addressing critical needs in pandemic response. His research on integrating supervised learning into robotic systems for Industry 5.0 monitoring (2023, 12 citations) further underscores his impact on smart manufacturing. Beyond these, he has explored nanorobotics in medical applications, underwater robotic diagnostics, and resilient robotic data systems. With a growing citation record and a portfolio spanning from fruit harvesting to pandemic monitoring, Manoharan demonstrates a versatile, applied approach to robotics and AI, making his work relevant for students and researchers interested in real-world automation solutions.
Research Focus
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Top Papers
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