Yokhesh Krishnasamy Tamilselvam
Papers
6
Total Citations
272
H-Index
6
About
Yokhesh Krishnasamy Tamilselvam is a robotics researcher whose work bridges autonomous systems, deep learning, and healthcare applications. His primary research areas include reconfigurable robotics, human-robot interaction, and the application of artificial intelligence to both infrastructure maintenance and medical diagnostics. Tamilselvam’s most impactful contribution is the development of a self-reconfigurable façade-cleaning robot equipped with a convolutional neural network for crack detection (92 citations), addressing the high-risk, labor-intensive task of maintaining glass high-rise buildings. He further advanced sanitation robotics with a human support robot for door handle cleaning using deep learning (78 citations), a system whose relevance was amplified during the COVID-19 pandemic. His work on a table-cleaning robot for food courts (58 citations) demonstrates practical service robotics, while his earlier research on fault diagnosis in reconfigurable crawling-rolling robots using support vector machines (29 citations) highlights his expertise in autonomous error detection. Notably, Tamilselvam has extended robotics into neuroscience, employing robotic platforms to characterize sensorimotor integration in Parkinson’s disease (9 and 6 citations), exploring how medication affects motor control. With over 270 total citations across these key works, Tamilselvam’s research consistently tackles real-world challenges—from skyscraper maintenance to public hygiene and neurological assessment—showcasing a versatile approach to deploying intelligent robots in service of human needs.
Research Focus
Key Achievements
Top Papers
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- 3Table Cleaning Task by Human Support Robot Using Deep Learning Technique58 citations · 2020
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