Retrospectives on the Embodied AI Workshop

Alexander Toshev; Ali Farhadi; Andrew Szot; Angel X. Chang; Aniruddha Kembhavi; Anthony Francis; Ben Talbot; Changan Chen; Chengshu Li; Chuang Gan

arxiv: 2210.06849 · v3 · pith:7EAPK2DO · submitted 2022-10-13 · cs.CV

Retrospectives on the Embodied AI Workshop

Matt Deitke , Dhruv Batra , Yonatan Bisk , Tommaso Campari , Angel X. Chang , Devendra Singh Chaplot , Changan Chen , Claudia P\'erez D'Arpino

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Kiana Ehsani Ali Farhadi Li Fei-Fei Anthony Francis Chuang Gan Kristen Grauman David Hall Winson Han Unnat Jain Aniruddha Kembhavi Jacob Krantz Stefan Lee Chengshu Li Sagnik Majumder Oleksandr Maksymets Roberto Mart\'in-Mart\'in Roozbeh Mottaghi Sonia Raychaudhuri Mike Roberts Silvio Savarese Manolis Savva Mohit Shridhar Niko S\"underhauf Andrew Szot Ben Talbot Joshua B. Tenenbaum Jesse Thomason Alexander Toshev Joanne Truong Luca Weihs Jiajun Wu

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classification cs.CV

keywords embodiedchallengesresearchworkshopanalysisapproachescommonalitiescvpr

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We present a retrospective on the state of Embodied AI research. Our analysis focuses on 13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are grouped into three themes: (1) visual navigation, (2) rearrangement, and (3) embodied vision-and-language. We discuss the dominant datasets within each theme, evaluation metrics for the challenges, and the performance of state-of-the-art models. We highlight commonalities between top approaches to the challenges and identify potential future directions for Embodied AI research.

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Retrospectives on the Embodied AI Workshop

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