Retrospectives on the Embodied AI Workshop
Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Chang, Angel X., Devendra Singh Chaplot, Changan Chen, Claudia Pérez D’Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis Jr., Chuang Gan, Kristen Grauman, Hall, David, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee · arXiv (Cornell University) · 2022
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.