Papers
3
Total Citations
27
H-Index
3
About
S. Asokan is a leading researcher in biomedical instrumentation and robotic haptics, with a focus on fiber Bragg grating (FBG) sensor technology. His work addresses critical challenges in needle-based medical procedures and tactile sensing for robotic systems. Asokan’s most cited paper (2016, 20 citations) introduces a novel method for detecting needle penetration stages by estimating forces at the needle tip using FBG sensors—a key contribution to robotic-assisted surgery and automatic control systems. He further advances the field by developing efficient FBG interrogation systems using InGaAs linear detector arrays and Gaussian approximation on embedded hardware (2018, 4 citations), enabling more practical, large-scale adoption of FBG sensors in structural health monitoring and biomedical engineering. Additionally, Asokan has designed a wearable haptic device that leverages FBG sensors for force sensing during object grasping (2019, 3 citations), enhancing tactile feedback in robotic applications. His work bridges the gap between high-precision sensing and real-time embedded implementation, making significant strides in improving the safety and dexterity of robotic systems in medical and industrial contexts.
Research Focus
Key Achievements
Top Papers
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