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 embarking on my doctoral journey, I amassed valuable industry experience as a Robotics Engineer 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, reinforcing my dedication to innovation.
I hold a dual degree—B.Tech and MS by Research in Computer Science—from IIIT-Hyderabad, where I graduated in 2020. My master’s thesis, 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.
Publications
Gokul B. Nair, Michael Milford, and Tobias Fischer
Preprint
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