Personal profile
Biography
I am a Lecturer in Mechatronic and Robotic Engineering at Western Sydney University (WSU), as well as a Core Member and Assistant Stream Leader for Automation and Robotics at the WSU Centre for Advanced Manufacturing Technology in the School of Engineering, Design, and Built Environment.
Prior to joining WSU, I worked as a Research Fellow at the Robotics Institute, University of Technology Sydney (UTS), from April 2018 to February 2024. During this time, I served as Chief Investigator and Milestone Lead for several government and industry-funded research projects. I completed my PhD in 2018 at the UTS Robotics Institute, specializing in smart sensing. I also hold an MSc in Mechatronics from the University of Newcastle, UK (2013), and a BE in Electronics and Instrumentation Engineering from Anna University, India (2011).
I teach courses in the mechatronics and robotics disciplines and currently serve as the Subject Coordinator and Lecturer for MECH3001 Advanced Dynamics, MECH3006 Mechatronic Design, and ELEC2008 Microcontrollers and PLCs.
I actively engage with professional communities in sensing and robotics and hold prominent executive positions on national and international committees within the IEEE Sensors Council and the IEEE Robotics and Automation Society.
Research description
My research is driven by the goal of enabling human-level sensing, perception and world understanding in robots operating in real-world, diverse environments.
I direct the Smart Sensing and Robotics Laboratory (SensR Lab), where I bridge theory and practice to advance sensing technologies for next-generation robotic autonomy.
My research centers on three key areas:
- Novel Sensing Technologies: Developing novel sensors to explore previously undetected environmental parameters or to enhance the precision and reliability of existing measurements.
- Robotic Perception with Unconventional Sensors: Exploring the use of non-traditional sensing technologies to improve perception in complex environments.
- Physical AI and Interaction: Developing advanced models for sensor analytics, diagnostics, and human-robot interaction through data-driven approaches, deep learning, LLMs, and spatio-temporal modeling.
As a Chief Investigator, my research is supported by funding from the Australian Research Council, Digital Health CRC, NBN Co, Sydney Water, Guide Dogs NSW/ACT, and other organizations. I have collaborated with over 35 companies and 10 research institutions across Australia, the USA, the UK, Canada, Germany, Finland, Denmark, and India.
My work has been recognized with prestigious awards, including the National Research Innovation Award (2020) and the NSW Student Water Prize (2018). It has also been featured in more than 20 media articles and has played a significant role in shaping key industry policies, such as the NBN Corporate Plan (2023, 2024) and Sydney Water's Innovation Research Strategy.
Research interests
My research interests focus on developing novel sensing techniques, exploring unconventional sensors for robotic perception, and advancing methods for physical AI and interaction. These advancements have diverse applications, including:
- Field Robotics
- Assistive Robotics and Technologies
- Robotics for Advanced Manufacturing in Industry 5.0
- Environmental Monitoring
These research interests align with the work at the SensR Lab, driving innovation in both foundational robotics research and impactful applications across industries.
Related links
Qualifications
Doctor of Philosophy
External positions
Adjunct Fellow, University of Technology Sydney
Feb 2024 → Dec 2025
Research Fellow, University of Technology Sydney
Oct 2021 → Feb 2024
Senior Research Engineer, University of Technology Sydney
Apr 2021 → Sept 2021
Smart Sensing Research Lead, UTS Robotics Institute
Jan 2019 → Feb 2024
Research Fellow, University of Technology Sydney
Apr 2018 → Mar 2021
Research keywords
- Novel Sensing
- Robot Perception
- Sensing Intelligence
- Human-Robot-Interaction
- Field Robotics
- Assistive Robotics
- Manufacturing Robotics
- Environmental Monitoring
- Physical AI
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
Collaborations and top research areas from the last five years
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Autonomous detection of concrete cracks using self-supervised DinoV2
Zhu, T., Braytee, A., Thiyagarajan, K., Zi, X., Mustapha, S., Tao, X. & Prasad, M., Feb 2026, In: Machine Intelligence Research. 23, p. 168-184 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)1 Downloads (Pure) -
A novel tactile sensing skin for surface perception
Das, S., Thiyagarajan, K., Kodagoda, S., Krishnan, A. & Bhattacharjee, M., 2025, In: IEEE Sensors Journal. 25, 13, p. 23155 - 23162 8 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
A vine-inspired solution for enhancing safety and efficiency in broadband cable installation
Rees, N., Kodagoda, S., Thiyagarajan, K., Song, S., Fakoua, Y., Sue, D., Judson, C., Hibbard, J., Russell, J., Dong, J., Owen, R., Forwood, E., Love, S. & Howard, C., 2025, Proceedings of the 2025 Australasian Conference on Robotics and Automation (ACRA 2025), 1-3 December 2025, Joondalup, Western Australia. Australia: Australian Robotics and Automation Association, 9 p.Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review
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BDC dataset: a comprehensive dataset for automated build damage classification
Zi, X., Shi, Y., Zhu, T., Jin, K., Tao, X., Li, J., Thiyagarajan, K. & Prasad, M., 2025, Advanced Data Mining and Applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I. Sheng, Q. Z., Zhang, X., Wu, J., Ma, C., Dobbie, G., Jiang, J., Zhang, W. E., Manolopoulos, Y. & Mansoor, W. (eds.). Singapore: Springer, p. 91-104 14 p. (Lecture Notes in Computer Science; vol. 15387).Research output: Chapter in Book / Conference Paper › Chapter › peer-review
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Beyond Pixels: A Training-Free, Text-to-Text Framework for Remote Sensing Image Retrieval
Xiao, J., Guo, Y., Zi, X., Thiyagarajan, K., Moreira, C. & Prasad, M., 2025, Proceedings of the 18th International Conference on Sensing Technology (ICST), 1-3 December 2025, Utsunomiya, Japan. IEEEResearch output: Chapter in Book / Conference Paper › Conference Paper › peer-review
Projects
- 1 Active
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The Role of Touch on Pain-Empathy Relations in Human-Robot Interaction
Thiyagarajan, K. (PI) & MOUZEHKESH PIRBORJ, L. (Scholarship Recipient)
1/07/22 → 30/06/26
Project: Research
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IEEE International Conference on Flexible Printable Sensors and Systems (Event)
Thiyagarajan, K. (Chair)
22 Jun 2025Activity: Membership › Organisation
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Shaping the Future of Robot Autonomy Through Sensor Analytics
Thiyagarajan, K. (Speaker)
Oct 2024Activity: Talk/Presentation › Invited talk
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Next-Generation Perception Methods for Robot Autonomy
Thiyagarajan, K. (Speaker)
Oct 2024Activity: Talk/Presentation › Invited talk
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Next-generation Robotic Sensing Technologies for Challenging Environments
Thiyagarajan, K. (Speaker)
Jun 2024Activity: Talk/Presentation › Invited talk
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Robot Sensing and Perception for Pipe Networks
Thiyagarajan, K. (Speaker)
May 2023Activity: Talk/Presentation › Guest lecture