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25 April 2024
 
  » arxiv » 2210.06849

 Article overview



Retrospectives on the Embodied AI Workshop
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 ;
Date 13 Oct 2022
AbstractWe 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.
Source arXiv, 2210.06849
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