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Computer Science > Computer Vision and Pattern Recognition

arXiv:2210.06849 (cs)
[Submitted on 13 Oct 2022 (v1), last revised 5 Dec 2022 (this version, v3)]

Title:Retrospectives on the Embodied AI Workshop

Authors:Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez D'Arpino, 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 Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu
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Abstract: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.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2210.06849 [cs.CV]
  (or arXiv:2210.06849v3 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2210.06849

Submission history

From: Andrew Szot [view email]
[v1] Thu, 13 Oct 2022 09:00:52 UTC (27,882 KB)
[v2] Mon, 17 Oct 2022 18:33:29 UTC (25,725 KB)
[v3] Mon, 5 Dec 2022 04:52:40 UTC (25,724 KB)
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