Krishna Murthy Jatavallabhula
Structured World Models for Robots
I am a postdoc at MIT CSAIL with Josh Tenenbaum and Antonio Torralba. I received my PhD at Mila, advised by Liam Paull.
My research focuses on designing structured world models for robots: rich, multisensory models of the world that best leverage our understanding of real-world phenomena such as physics, graphics, and multisensory integration. I am interested in understanding and building computational abstractions that best enable robots and embodied AI systems to perceive, reason, and act in the real-world. My work draws upon ideas from robotics, computer vision, graphics, and computational cognitive science; intertwining our understanding of the world with probabilistic inference and deep learning.
My work has been recognized with PhD fellowship awards from NVIDIA and Google, and a best-paper award from IEEE RAL.
I am looking for academic / industry roles this cycle (Jan-May 2024). Access my research statement for an overview of my work.
News
Mar 1, 2024 | Speaking at the UMD/Microsoft future leaders in robotics and AI seminar series |
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Jan 29, 2024 | 6 papers accepted to ICRA 2024. |
Jan 23, 2024 | Serving as associate editor for IROS and RA-L. |
Sep 28, 2023 | Another webpage update, featuring new work, including ConceptGraphs. |
Feb 12, 2023 | Long overdue webpage update, including the featured Conceptfusion work. |
Mar 15, 2022 | I moved to MIT to start my potsdoc with Josh Tenenbaum and Antonio Torralba. |
Mar 11, 2022 | Got my PhD with grade: exceptional! |
Feb 2, 2022 | Serving as associate editor for IROS 2022 |
Sep 15, 2021 | Organizing workshops Diff3D ICCV 2021, and the PRIBR at Neurips 2021. |
Sep 5, 2021 | Teaching the realistic/advanced image synthesis class at McGill university (Fall 2021). |
Jan 22, 2021 | Awarded a Google PhD fellowship (declined) |
Dec 21, 2020 | Organizing the rethinking ML papers workshop at ICLR 2021 |
Dec 1, 2020 | Honored to have received an NVIDIA graduate fellowship for 2021-22 |
Nov 10, 2020 | gradSLAM is available as an open-source PyTorch framework here |
Sep 3, 2020 | Organizing the robot learning seminar series at Mila |
Sep 1, 2020 | Organizing the differentiable vision, graphics, physics workshop at Neurips 2020 |
Jul 6, 2020 | Selected to the RSS pioneers cohort for 2020 |
Jun 5, 2020 | Our paper, MapLite, named best paper, IEEE RAL 2019. |
Feb 12, 2020 | Our paper on fully differentiable dense SLAM will be (virtually) presented at ICRA 2020 |
Nov 14, 2019 | Released NVIDIA Kaolin: a 3D deep learning library |