R Narayanamoorthi
Papers
6
Total Citations
98
H-Index
5
About
R. Narayanamoorthi is a versatile researcher whose work spans wireless power transfer, autonomous robotics, electric vehicle technology, and biomedical microrobotics. His most influential contribution, "Frequency Splitting-Based Wireless Power Transfer and Simultaneous Propulsion Generation to Multiple Micro-Robots" (2018, 39 citations), addresses a critical challenge in biomedical engineering by enabling miniaturized microrobots to receive power and generate propulsion wirelessly — a breakthrough for complex clinical applications. His earlier work on eliminating frequency splitting in resonance-coupled WPT systems further solidified his expertise in wireless energy transfer fundamentals. More recently, Narayanamoorthi has made significant strides in intelligent electric vehicle charging automation. His SWIN-Transformer and SimAM-based EVS YOLO model for automatic socket identification (2023, 31 citations) demonstrates his ability to harness cutting-edge deep learning architectures for real-world engineering problems. Subsequent work on AViTRoN and integrated YOLO-based robotic charging frameworks reflects a sustained commitment to fully autonomous EV charging infrastructure. His earlier agricultural robotics research on autonomous weed removal using image processing and LabVIEW reveals a longstanding interest in applied machine vision. With a growing citation record across multiple high-impact domains, Narayanamoorthi represents an engineer-researcher whose work consistently bridges theoretical innovation with practical, societal impact.
Research Focus
Key Achievements
Top Papers
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- 4Weed removal in cultivated field by autonomous robot using LABVIEW9 citations · 2015
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