Irraivan Elamvazuthi
Papers
35
Total Citations
602
H-Index
13
About
Irraivan Elamvazuthi is a distinguished researcher whose work spans robotics, intelligent control systems, and rehabilitation engineering — fields where his contributions have consistently bridged theoretical innovation with real-world application. Based at the intersection of artificial intelligence and robotics, his research has shaped modern understanding of collaborative robots (cobots), earning 139 citations for a landmark 2023 systematic review examining AI's expanding role in industrial cobot applications. His expertise in control systems is equally prominent, with influential work on Active Disturbance Rejection Control for both upper and lower limb rehabilitation exoskeletons, reflecting a deep commitment to improving quality of life for patients with neurological disorders and physical impairments. Elamvazuthi has also made significant strides in intelligent navigation, developing fuzzy logic and Ant Colony Optimization approaches for mobile robot path planning and control. His early foundational work on Type-2 Fuzzy Logic controllers and PID optimization demonstrates a career-long dedication to robust, adaptive systems. Extending further into human-machine interaction, he has explored EMG-based torque estimation and virtual reality rehabilitation tools. With over 400 cumulative citations across his most prominent works, Elamvazuthi stands as a significant voice in intelligent robotics and assistive technology research.
Research Focus
Key Achievements
Top Papers
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- 4Mobile robot path planning using Ant Colony Optimization48 citations · 2016
- 5Optimization of PID Control for High Speed Line Tracking Robots31 citations · 2015
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- 8A virtual reality based serious games for rehabilitation of arm21 citations · 2017
- 9Fuzzy-based Navigation and Control of a Non-Holonomic Mobile Robot20 citations · 2010
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