Welcome

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I am a researcher in robotics, interested in making autonomous robots more robust and trustworthy. I am currently a Postdoc at the University of Toronto in the Robotics Institute working with Tim Barfoot on certifiable state estimation algorithms, making sure, for example, that a robot has a viable estimate of its location and surroundings. Before that, I obtained my Ph.D. in the AudioVisual Communications Laboratory (LCAV) at École polytechnique fédérale de Lausanne (EPFL) under the supervision of Martin Vetterli and Adam Scholefield, working on non-visual spatial perception, in other words, how to make sure a robot (or phone) can navigate when cameras are unavailable.

News

Last update: November 27, 2023.

November 2023 What a pleasure to be presenting our latest research at MIT, Harvard and Northeastern University in Boston! The recording from my talk at MIT is available here and the slides are available here. Thank you to everyone for hosting me!

September 2023 More pre-prints of our brilliant students now available! Zi Cong (Daniel) Guo’s work on Koopman SLAM is available here and Abhishek Goudar’s work on certifiable range-only pose estimation is available here.

August 2023 So grateful to speak at this wonderful 2-day anniversary celebration of “Signal Processing and Friends” organized by my former lab, LCAV, EPFL Switzerland. Also, presented our latest research at Aude Billard’s LASA lab at EPFL. Slides available here.

August 2023 Two new pre-prints of our latest work are now available on arXiv. Our work on automatically tightening semidefintie relaxations can be found here and Connor Holmes work on tightness of matrix-weighted SLAM relaxations can be found here.

March 2023 I gave a talk about our latest research in the Toronto AI in Robotics (AIR) Seminar. The recording is available here. Thank you for having me!

February 2023 Our research on echolocation on drones and wheeled robots was featured in the New Scientist, TechXplore, netzwoche, popsci and engadget. Great to see this much interest in bat-like robots!

January 2023 Thank you to the bitcraze team for inviting me to write a blogpost about the Crazybat project!

December 2022 Our paper (also available on arXiv) on certified range-only localization was accepted to RA-L! Happy to present it at the upcoming IROS conference in Detroit in October 2023.

October 2022: I will be presenting our RA-L paper on audible echolocation on small robots (aka the Crazybat project) at IROS 2022 in Kyoto.

August 2022: We submitted our paper on certified range-only continuous-time localization to RA-L.

June 2022: We published a preprint on certified robust line fitting, a good way to learn about certifiable algorithms on a deceivingly simple problem!

December 2021: I received the Postdoc.Mobility grant for a 2-year postdoc with Tim Barfoot at UofT, starting in March 2022.

November 2021: I successfully defended my PhD thesis.

May 2020: We presented our paper at ICASSP 2020.

May 2020: I received the Google Women Techmakers Scholarship in Computer Science.

May 2020: We presented our paper at ICRA 2020.

April 2020: I joined EPFL’s first online hackathon as a mentor for students working on projects to help combat Covid19.