About Me
I am currently a PhD candidate at the QUT Centre for Robotics, working under the guidance of Dr. Tobias Fischer and Prof. Michael Milford. My research is centered on harnessing the unique capabilities of event-cameras to advance visual place recognition in mobile robots. By fusing the neuromorphic attributes of these sensors with cutting-edge computer vision algorithms, I strive to significantly enhance the robustness and efficiency of robotic systems operating in complex environments.
Prior to my doctoral journey, I was involved with the industry as a Robotics Engineer. I have spent some time working at Clutterbot Inc. in Bengaluru and Addverb Technologies in Noida. These roles provided me with a practical understanding of robotic systems and their real-world applications.
I graduated in 2020 with a dual degree—B.Tech and MS by Research in Computer Science—from IIIT-Hyderabad. My master’s thesis work, conducted under the guidance of Prof. K. Madhava Krishna at the Robotics Research Centre, IIIT-Hyderabad, delved into the application of pose-graph optimizations for monocular SLAM, particularly within the realm of autonomous driving.
My goal is to ensure that robotic systems can navigate and understand their surroundings with unprecedented accuracy and efficiency, continually striving for improvements that benefit both the field and my own expertise.
Theses

Gokul B. Nair
International Institute of Informatoin Technology, Hyderabad (IIIT-H)
Publications

Gokul B. Nair, Michael Milford, and Tobias Fischer
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

Swapnil Daga, Gokul B. Nair, Rahul Sajnani, Anirudha Ramesh, Junaid Ahmed Ansari, and K. Madhava Krishna
International Conference on Computer Vision Theory and Applications (VISAPP) 2021

Gokul B. Nair, Swapnil Daga, Rahul Sajnani, Anirudha Ramesh, Junaid Ahmed Ansari, Krishna Murthy Jatavallabhula, and K. Madhava Krishna
IEEE Symposium on Intelligent Vehicle (IV) 2020
Workshops

Alejandro Fontan, Lukas Schmid, Olga Vysotska, Mubariz Zaffar, Linfei Pan, Gokul B. Nair, Johan Barthelemy, Javier Civera, Michael Milford
Robotics: Science and Systems 2025