Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162834
Title: A survey of embodied AI: from simulators to research tasks
Authors: Duan, Jiafei
Yu, Samson
Tan, Hui Li
Zhu, Hongyuan
Tan, Cheston
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Duan, J., Yu, S., Tan, H. L., Zhu, H. & Tan, C. (2022). A survey of embodied AI: from simulators to research tasks. IEEE Transactions On Emerging Topics in Computational Intelligence, 6(2), 230-244. https://dx.doi.org/10.1109/TETCI.2022.3141105
Project: A18A2b0046
NRF2015-NRF-ISF001-2541
Journal: IEEE Transactions on Emerging Topics in Computational Intelligence
Abstract: There has been an emerging paradigm shift from the era of 'internet AI' to 'embodied AI,' where AI algorithms and agents no longer learn from datasets of images, videos or text curated primarily from the internet. Instead, they learn through interactions with their environments from an egocentric perception similar to humans. Consequently, there has been substantial growth in the demand for embodied AI simulators to support various embodied AI research tasks. This growing interest in embodied AI is beneficial to the greater pursuit of Artificial General Intelligence (AGI), but there has not been a contemporary and comprehensive survey of this field. This paper aims to provide an encyclopedic survey for the field of embodied AI, from its simulators to its research. By evaluating nine current embodied AI simulators with our proposed seven features, this paper aims to understand the simulators in their provision for use in embodied AI research and their limitations. Lastly, this paper surveys the three main research tasks in embodied AI - visual exploration, visual navigation and embodied question answering (QA), covering the state-of-the-art approaches, evaluation metrics and datasets. Finally, with the new insights revealed through surveying the field, the paper will provide suggestions for simulator-for-task selections and recommendations for the future directions of the field.
URI: https://hdl.handle.net/10356/162834
ISSN: 2471-285X
DOI: 10.1109/TETCI.2022.3141105
Rights: © 2022 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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