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Anushri Dixit

Postdoctoral Researcher

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I am an incoming Assistant Professor (starting July 2024) in Mechanical & Aerospace Engineering at the University of California, Los Angeles (UCLA). I earned my PhD in Control and Dynamical Systems from California Institute of Technology, advised by Prof. Joel Burdick. I completed my B.S. in Electrical Engineering from Georgia Institute of Technology. 


I am currently a postdoc in Mechanical & Aerospace Engineering at Princeton University, advised by Prof. Anirudha Majumdar. My research interests are broadly in safety-critical planning & control, robotics, and stochastic optimization. More specifically, I work on risk-averse motion planning algorithms and uncertainty quantification for autonomous robots in unstructured environments. These algorithms provide robustness guarantees towards distribution shifts in the planning framework. 


Anushri Dixit, Mohamadreza Ahmadi, and Joel W. Burdick. "Risk-Averse Receding Horizon Motion Planning." In Artificial Intelligence Journal, Special Issue on Risk-aware Autonomous Systems: Theory and Practice (2022).

Skylar X. Wei*, Anushri Dixit*, Shashank Tomar, and Joel W. Burdick. "Moving Obstacle Avoidance: a Data-Driven Risk-Aware Approach." In IEEE Control System Letters (2022).

David D. Fan, Kyohei Otsu, Yuki Kubo, Anushri Dixit, Joel Burdick, and Ali-Akbar Agha-Mohammadi. "STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation." In Robotics: Science and Systems, pp. 1-21. RSS Foundation (2021).


Recent news: (November 2023) Our paper "Robots that ask for help: Uncertainty alignment for large language model planners" won the Best Student Paper Award at the Conference on Robot Learning (CoRL)! (October 2023) Our paper "Risk-averse receding horizon motion planning for obstacle avoidance using coherent risk measures" was published in the Artificial Intelligence Journal. (August 2023) Our paper titled "STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge" was accepted to the Field Robotics journal. (April 2023) I will be joining UCLA as an Assistant Professor in 2024! (March 2023) Our paper titled "Adaptive Conformal Prediction for Motion Planning among Dynamic Agents" was accepted to the 5th Annual Learning for Dynamics & Control Conference. (March 2023) I started as a postdoc at Princeton in Prof. Anirudha Majumdar's group. (Feb 2023) Honored to be recognized for Outstanding Service as Reviewer of the IEEE Control System Letters - 2022. (Feb 2023) Successfully defended my thesis! (Dec 2022) Skylar Wei and I received the Outstanding Student Paper Award at CDC 2022 for our paper titled "Moving Obstacle Avoidance: A data-driven, risk-aware approach". (Nov 2022) I was named a Rising Star in Data Science by the UChicago DSI Institute. (Oct 2022) Presented at the UW Robotics Colloquium.

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