Rose Hendrix
I am a Senior Research Engineer at the Allen Institute for Artificial Intelligence (AI2) on the Perceptual Reasoning and Interaction (PRIOR) team, where I work on embodied AI in unstructured human environments. Prior to that, I earned my PhD in Mechanical Engineering at the University of Washington, where I was advised by Santosh Devasia and Joseph Garbini. |
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ResearchI'm interested in how to bring robotics into unstructured human environments. Here is my relevant recent work - please see my Google Scholar for a complete history. * denotes equal contribution. |
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SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real WorldRose Hendrix*, Kiana Ehsani*, Tanmay Gupta*, Jordi Salvador*, Luca Weihs*, Kuo-Hao Zeng*, Kunal Pratap Singh, Yejin Kim, Winson Han, Alvaro Herrasti, Ranjay Krishna, Dustin Schwenk, Eli VanderBilt, Aniruddha Kembhavi CVPR, 2024 arxiv / code / website / We train a supervised model to imitate shortest path trajectories collected from simulation and show that it generalizes to perform effective navigation and manipulation when deployed on real world agents. |
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Phone2Proc: Bringing Robust Robots Into Our Chaotic WorldRose Hendrix*, Matt Deitke*, Luca Weihs, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi CVPR, 2023 arxiv / code / website / From a 10-minute iPhone scan of any environment, we condition procedural scene generation on that scan to generate training environments. Training a robot to perform ObjectNav in these scenes dramatically improves sim-to-real performance from 35% to 71% and results in an agent that is remarkably robust to human movement, lighting variations, added clutter, and rearranged objects. |
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Original design and source code from Jon Barron, modified by Leonid Keselman, and email scrambler by Jeff Donohue. |