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Retrospectives on the Embodied AI Workshop. (arXiv:2210.06849v1 [cs.CV])
Oct. 14, 2022, 1:16 a.m. | Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez D'Arpino, Kiana
cs.CV updates on arXiv.org arxiv.org
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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