Biography

I conduct research in Embodied Intelligence, which spans robotics, computer vision, and machine learning. I have a keen interest and experience in visual place recognition, localization, navigation, image retrieval, and scene understanding.

I am currently leading robot navigation research at the Australian Institute for Machine Learning, University of Adelaide, with Prof. Ian Reid and Dr Feras Dayoub. Previously, I was the lead research fellow at QUT’s Perception & Localisation research program, following on from my PhD at the Australian Centre for Robotic Vision, advised by Prof. Michael Milford and Prof. Niko Suenderhauf. Before PhD, I worked as a robotics researcher in industry at TCS Research with Dr Swagat Kumar, following my graduation from Thapar University. I work closely with Prof. Madhava Krishna, IIITH, India.

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Recent Publications

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RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation
Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning
Vehicle localization
Anyloc: Towards universal visual place recognition
Anyloc: Towards universal visual place recognition
DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions
DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions
GDIP: gated differentiable image processing for object detection in adverse conditions
Hierarchical Unsupervised Topological SLAM
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization