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We introduce a method for following high-level navigation instructions by mapping directly from images, instructions and pose estimates to continuous low-level velocity commands for real-time control.
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Cynthia Matuszek*, Nicholas FitzGerald*, Luke Zettlemoyer, Liefeng Bo, and Dieter Fox · 2012
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Yoav Artzi and Luke Zettlemoyer · 2013
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Rectifier nonlinearities improve neural network acoustic models
Andrew L Maas, Awni Y Hannun, and Andrew Y Ng · 2013
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Learning Semantic Maps from Natural Language Descriptions
Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
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Matthew R Walter, Sachithra Hemachandra, Bianca Homberg, Stefanie Tellex, and Seth Teller · 2013
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Tell me dave: Context-sensitive grounding of natural language to mobile manipulation instructions
Dipendra K Misra, Jaeyong Sung, Kevin Lee, and Ashutosh Saxena · 2014
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Sachithra Hemachandra, Felix Duvallet, Thomas M Howard, Nicholas Roy, Anthony Stentz, and Matthew R Walter · 2015
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Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015
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Diederik P Kingma and Jimmy Ba · 2015
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Ross A Knepper, Stefanie Tellex, Adrian Li, Nicholas Roy, and Daniela Rus · 2015
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Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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Gregory Kahn, Tianhao Zhang, Sergey Levine, and Pieter Abbeel · 2017
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Dipendra Misra, John Langford, and Yoav Artzi · 2017
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Shital Shah, Debadeepta Dey, Chris Lovett, and Ashish Kapoor · 2017
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Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian Reid, Stephen Gould, and Anton van den Hengel · 2018
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Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, and Daniel D. Lee · 2018
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Neural map: Structured memory for deep reinforcement learning
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