Retrospectives on the Embodied AI Workshop

Retrospectives on the Embodied AI Workshop

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 dominan...

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Veröffentlicht in:arXiv.org 2022-12
Hauptverfasser: Deitke, Matt, Batra, Dhruv, Bisk, Yonatan, Campari, Tommaso, Chang, Angel X, Devendra Singh Chaplot, Chen, Changan, Claudia Pérez D'Arpino, Ehsani, Kiana, Farhadi, Ali, Li, Fei-Fei, Francis, Anthony, Chuang Gan, Grauman, Kristen, Hall, David, Han, Winson, Jain, Unnat, Kembhavi, Aniruddha, Krantz, Jacob, Lee, Stefan, Li, Chengshu, Majumder, Sagnik, Maksymets, Oleksandr, Martín-Martín, Roberto, Mottaghi, Roozbeh, Raychaudhuri, Sonia, Roberts, Mike, Savarese, Silvio, Savva, Manolis, Shridhar, Mohit, Sünderhauf, Niko, Szot, Andrew, Talbot, Ben, Tenenbaum, Joshua B, Thomason, Jesse, Toshev, Alexander, Truong, Joanne, Weihs, Luca, Wu, Jiajun
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Sprache:eng
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Workshops
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Zusammenfassung: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.
ISSN:2331-8422