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.
@article{arxiv.2210.06849,
title = {Retrospectives on the Embodied AI Workshop},
author = {Matt Deitke and Dhruv Batra and Yonatan Bisk and Tommaso Campari and Angel X. Chang and Devendra Singh Chaplot and Changan Chen and Claudia Pérez D'Arpino and Kiana Ehsani and Ali Farhadi and Li Fei-Fei and Anthony Francis and Chuang Gan and Kristen Grauman and David Hall and Winson Han and Unnat Jain and Aniruddha Kembhavi and Jacob Krantz and Stefan Lee and Chengshu Li and Sagnik Majumder and Oleksandr Maksymets and Roberto Martín-Martín and Roozbeh Mottaghi and Sonia Raychaudhuri and Mike Roberts and Silvio Savarese and Manolis Savva and Mohit Shridhar and Niko Sünderhauf and Andrew Szot and Ben Talbot and Joshua B. Tenenbaum and Jesse Thomason and Alexander Toshev and Joanne Truong and Luca Weihs and Jiajun Wu},
journal= {arXiv preprint arXiv:2210.06849},
year = {2022}
}