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

Retrospectives on the Embodied AI Workshop

classification cs.CV
keywords embodiedchallengesresearchworkshopanalysisapproachescommonalitiescvpr
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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