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We propose an end-to-end deep learning model for translating free-form natural language instructions to a high-level plan for behavioral robot navigation.
Muc-5 evaluation metrics
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Corpus-based robotics: A route instruction example
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Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R Walter, Ashis Gopal Banerjee, Seth J Teller, and Nicholas Roy. 2011 · 2011
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Weakly supervised learning of semantic parsers for mapping instructions to actions
Yoav Artzi and Luke Zettlemoyer. 2013 · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
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Deep Learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016 · 2016
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Listen, attend, and walk: Neural mapping of navigational instructions to action sequences
Hongyuan Mei, Mohit Bansal, and Matthew R. Walter. 2016 · 2016
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Deep sentence embedding using long short-term memory networks: Analysis and application to information retrieval
Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, and Rabab Ward. 2016 · 2016
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Find my office: Navigating real space from semantic descriptions
Ben Talbot, Obadiah Lam, Ruth Schulz, Feras Dayoub, Ben Upcroft, and Gordon Wyeth. 2016 · 2016
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Dynamic memory networks for visual and textual question answering
Caiming Xiong, Stephen Merity, and Richard Socher. 2016 · 2016
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A review of spatial reasoning and interaction for real-world robotics
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