Inferring Human Intent from Video by Sampling Hierarchical Plans

Inferring Human Intent from Video by Sampling Hierarchical Plans

© 2016 IEEE. This paper presents a method which allows robots to infer a human's hierarchical intent from partially observed RGBD videos by imagining how the human will behave in the future. This capability is critical for creating robots which can interact socially or collaboratively with huma...

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Bibliographic Details
Main Authors: Holtzen, Steven (Author), Zhao, Yibiao (Author), Gao, Tao (Author), Tenenbaum, Joshua B. (Author), Zhu, Song-Chun (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-11-09T21:35:38Z.
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