About

Karthick Thiyagarajan is a robotics and sensing researcher whose work sits at the intersection of infrastructure inspection, robot localization, and intelligent perception systems. His most significant contributions address a pressing global challenge: the deterioration of underground pipe networks. His highly cited 2020 paper on stereo vision combined with laser profiling for mapping internal pipe defects (77 citations) established a landmark approach to non-destructive evaluation of water infrastructure, while subsequent work on UHF-RFID-based robot localization (28 citations) and battery-free SLAM systems advanced the field of autonomous in-pipe robotics. Thiyagarajan has also contributed meaningfully to adaptive control of dual-arm robots, deep learning applications for ground-penetrating radar, and assistive robotics for people with vision impairments. His most recent research explores the integration of large language models with 3D vision for enhanced robotic autonomy, signaling a forward-looking expansion of his expertise. With over 180 cumulative citations across his published work, Thiyagarajan has built a distinctive research portfolio that bridges real-world infrastructure challenges with cutting-edge robotics and AI, making his contributions highly relevant to engineers, urban planners, and robotics researchers alike.

Research Focus

Key Achievements

7
H-Index
22
Papers
216
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Stereo Vision Combined With Laser Profiling for Mapping of Pipeline Internal Defects
77 citations · 2020
📈 Most Prolific Year: 2021 (7 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: University of Technology Sydney, Swinburne University of Technology, Centre of Excellence for Advanced Materials, Western Sydney University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago