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Ahalya Ravendran

Hello! I am a doctoral student at the Australian Centre for Field Robotics, The University of Sydney, Australia. I explore robotic imaging – the way robots see our world and beyond via research. I currently work on topics related to computational imaging and feature-based reconstruction in visually challenging conditions.

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Recent News

• May 2021: Got selected to participate at RPL Summer School, but will not be able to attend due to travel restrictions.

• May 2021: Won Science Communication Award at ICRA 2022. Check out my exclusive covering of my first conference as a PhD student here

• Mar 2022: Presented my research at SIRIS Seminar Series.

• Dec 2021: Our paper on Burst Imaging for Light-Constrained Structure-From-Motion got accepted for publication in the IEEE Robotics and Automation Society (RA-L) and also got accepted for oral presentation at the International Conference on Robotics and Automation (ICRA 2022).

• Sep 2021: Won 2nd at the @PhDVoice elevator pitch competition

• Aug 2021: PAPER ALERT!Check out our latest work on Burst Imaging for Light-Constrained Structure-From-Motion. Preprint, dataset and code are at the project page here

• Our paper on Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras got accepted for oral presentation at the International Conference on Intelligent Robots and Systems (IROS 2021)

• Jul 2021: Represented ACFR and presented my research and insights during ISS 2021 High School Outreach Activity hosted by the Faculty of Science, The University of Sydney.

• Jul 2021: Started organizing Robotic Imaging Reading Group at ACFR, The University of Sydney. Check out the papers we discuss during the meeting here

• Jun 2021: Completed second-year progress review evaluation

• May 2021: Published a reading list on robotic imaging on GitHub, Check out the awesome robotic imaging list here

• Apr 2021: Presented my research at SIRIS seminar series as part of the group talk by robotic imaging team

• Mar 2021: PAPER ALERT!Our research paper on Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras is out. Preprint, dataset and code are at the project page here

• Jun 2020: Completed first-year progress review evaluation

• Feb 2020: Won 3rd place as a team at Robotic Vision Summer School workshop competition on visual identification with PiBot robot

• Oct 2019: Started PhD under the supervision of Dr. Donald Dansereau at ACFR, The University of Sydney, Australia

somewhere, something incredible is waiting to be known

Dr. Carl Sagan