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In instruction conditioned navigation, agents interpret natural language and their surroundings to navigate through an environment.
The streetlearn environment and dataset
Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, and Raia Hadsell · 1903
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A note on two problems in connexion with graphs
Edsger W Dijkstra · 1959
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Performance tradeoffs in dynamic time warping algorithms for isolated word recognition
Cory Myers, Lawrence Rabiner, and Aaron Rosenberg · 1980
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Dynamic programming algorithm optimization for spoken word recognition
Hiroaki Sakoe, Seibi Chiba, A Waibel, and KF Lee · 1990
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Using dynamic time warping to find patterns in time series
Donald J Berndt and James Clifford · 1994
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Efficient algorithms for globally optimal trajectories
John N Tsitsiklis · 1995
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Learned models for continuous planning
Matthew D Schmill, Tim Oates, and Paul R Cohen · 1999
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Scaling up dynamic time warping for datamining applications
Eamonn J Keogh and Michael J Pazzani · 2000
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Word image matching using dynamic time warping
Toni M Rath and Raghavan Manmatha · 2003
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Vision-based urban navigation procedures for verbally instructed robots
Theocharis Kyriacou, Guido Bugmann, and Stanislao Lauria · 2005
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Toward accurate dynamic time warping in linear time and space
Stan Salvador and Philip Chan · 2007
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Multi-dimensional dynamic time warping for gesture recognition
Gineke A Ten Holt, Marcel JT Reinders, and EA Hendriks · 2007
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Chromosome classification using dynamic time warping
Benoit Legrand, CS Chang, SH Ong, Soek-Ying Neo, and Nallasivam Palanisamy · 2008
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Supporting exact indexing of arbitrarily rotated shapes and periodic time series under euclidean and warping distance measures
Eamonn Keogh, Li Wei, Xiaopeng Xi, Michail Vlachos, Sang-Hee Lee, and Pavlos Protopapas · 2009
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Finding anomalous periodic time series
Umaa Rebbapragada, Pavlos Protopapas, Carla E Brodley, and Charles Alcock · 2009
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Accelerometer-based gesture recognition via dynamic-time warping, affinity propagation, & compressive sensing
Learning to interpret natural language commands through human-robot dialog
Jesse Thomason, Shiqi Zhang, Raymond J Mooney, and Peter Stone · 2015
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Matterport3d: Learning from RGB-D data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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Mapping navigation instructions to continuous control actions with position visitation prediction
Valts Blukis, Dipendra Misra, Ross A. Knepper, and Yoav Artzi · 2018
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Following formulaic map instructions in a street simulation environment
Volkan Cirik, Yuan Zhang, and Jason Baldridge · 2018
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Mapping instructions to actions in 3D environments with visual goal prediction
Dipendra Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, and Yoav Artzi · 2018
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Ahmad Akl and Shahrokh Valaee · 2010
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Lindasalwa Muda, Mumtaj Begam, and Irraivan Elamvazuthi · 2010
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Learning to interpret natural language navigation instructions from observations
David L. Chen and Raymond J. Mooney · 2011
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Searching and mining trillions of time series subsequences under dynamic time warping
Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, Gustavo Batista, Brandon Westover, Qiang Zhu, Jesin Zakaria, and Eamonn Keogh · 2012
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Trajectory learning for robot programming by demonstration using hidden markov model and dynamic time warping
Aleksandar Vakanski, Iraj Mantegh, Andrew Irish, and Farrokh Janabi-Sharifi · 2012
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On evaluation of Embodied Navigation Agents
Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jagannath Malik, Roozbeh Mottaghi, Manolis Savva, and Amir Roshan Zamir
Cited in the paper.
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
Cited in the paper.
Learning to parse natural language to grounded reward functions with weak supervision
Edward C. Williams, Nakul Gopalan, Mina Rhee, and Stefanie Tellex · 2018
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Touchdown: Natural language navigation and spatial reasoning in visual street environments
Howard Chen, Alane Suhr, Dipendra Misra, and Yoav Artzi · 2019
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From language to goals: Inverse reinforcement learning for vision-based instruction following
Justin Fu, Anoop Korattikara, Sergey Levine, and Sergio Guadarrama · 2019
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Stay on the path: Instruction fidelity in vision-and-language navigation
Vihan Jain, Gabriel Magalhães, Alexander Ku, Ashish Vaswani, Eugene Ie, and Jason Baldridge · 2019
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RERERE: remote embodied referring expressions in real indoor environments
Yuankai Qi, Qi Wu, Peter Anderson, Marco Liu, Chunhua Shen, and Anton van den Hengel · 2019
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