Arul Selvan
Papers
2
Total Citations
38
H-Index
2
About
Arul Selvan’s research lies at the intersection of microrobotics, computer vision, and intelligent control systems, with a particular focus on enabling precise manipulation at microscopic scales. His most significant contribution comes from his work on a European Union ESPRIT-funded project, where he helped develop a highly flexible microrobot system capable of operating under both optical and scanning electron microscopes. This system, detailed in his most-cited paper (36 citations), integrates a wide range of sensors for vision-based closed-loop control, allowing for sophisticated microhandling tasks. Selvan’s approach to microrobotic control is further explored in his work on recurrent neural network controllers, which introduce feedback mechanisms to identify and adapt to environmental motion dynamics. While his 2007 paper on this topic has garnered fewer citations, it reflects his forward-thinking interest in using neural networks to enhance robotic adaptability. Selvan’s research is notable for bridging the gap between theoretical control methods and practical, high-precision applications, making him a key figure in the development of autonomous systems for microassembly and biological manipulation.
Research Focus
Key Achievements
Top Papers
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