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The paradigm of learning-from-observation (LfO) enables a robot to learn how to perform actions by observing human-demonstrated actions.
Linear inequalities and related systems
HW Kuhn and AW Tucker · 1957
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Screws, motors, and wrenches that cannot be bought in a hardware store
Bernard Roth · 1984
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Robot vision
Berthold Horn, Berthold Klaus, and Paul Horn · 1986
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Toward an assembly plan from observation. i. task recognition with polyhedral objects
Katsushi Ikeuchi and Takashi Suehiro · 1994
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Is imitation learning the route to humanoid robots?
Stefan Schaal · 1999
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Random forests
Leo Breiman · 2001
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KANTRA-human-machine interaction for intelligent robots using natural language
T.C. Lueth, T. Laengle, G. Herzog, E. Stopp, and U. Rembold · 2002
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General investigations of curved surfaces
Karl Friedrich Gauss and Peter Pesic · 2005
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Representation for knot-tying tasks
Jun Takamatsu, Takuma Morita, Koichi Ogawara, Hiroshi Kimura, and Katsushi Ikeuchi · 2006
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Recognizing Assembly Tasks Through Human Demonstration
Jun Takamatsu, Koichi Ogawara, Hiroshi Kimura, and Katsushi Ikeuchi · 2007
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Reinforcement learning for imitating constrained reaching movements
Florent Guenter, Micha Hersch, Sylvain Calinon, and Aude Billard · 2007
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Robot Programming by Demonstration
Aude Billard, Sylvain Calinon, Rüdiger Dillmann, and Stefan Schaal · 2008
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Toward a natural language interface for transferring grasping skills to robots
Maria Ralph and Medhat A. Moussa · 2008
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A survey of robot learning from demonstration
Brenna D. Argall, Sonia Chernova, Manuela Veloso, and Brett Browning · 2009
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An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests
Carolin Strobl, James Malley, and Gerhard Tutz · 2009
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Understanding natural language commands for robotic navigation and mobile manipulation
Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth Teller, and Nicholas Roy · 2011
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Keyframe-based Learning from Demonstration
Baris Akgun, Maya Cakmak, Karl Jiang, and Andrea L. Thomaz · 2012
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Learning grounded language through situated interactive instruction
Shiwali Mohan, Aaron Mininger, James Kirk, and John E. Laird · 2012
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The Coordinating Role of Language in Real-Time Multimodal Learning of Cooperative Tasks
Maxime Petit, Stéphane Lallee, Jean-David Boucher, Grégoire Pointeau, Pierrick Cheminade, Dimitri Ognibene, Eris Chinellato, Ugo Pattacini, Ilaria Gori, Uriel Martinez-Hernandez, Hector Barron-Gonzalez, Martin Inderbitzin, Andre Luvizotto, Vicky Vouloutsi, Yannis Demiris, Giorgio Metta, and Peter Ford Dominey · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Language to action: Towards interactive task learning with physical agents
Joyce Y. Chai, Qiaozi Gao, Lanbo She, Shaohua Yang, Sari Saba-Sadiya, and Guangyue Xu · 2018
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Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2018
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Learning from Demonstration Based on a Mechanism to Utilize an Object’s Invisibility
Kotaro Nagahama and Kimitoshi Yamazaki · 2019
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Learning Articulated Constraints From a One-Shot Demonstration for Robot Manipulation Planning
Yizhou Liu, Fusheng Zha, Lining Sun, Jingxuan Li, Mantian Li, and Xin Wang · 2019
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Extending policy from one-shot learning through coaching
Mythra V Balakuntala, Vishnunandan LN Venkatesh, Jyothsna Padmakumar Bindu, Richard M Voyles, and Juan Wachs · 2019
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A natural language planner interface for mobile manipulators
Thomas M. Howard, Stefanie Tellex, and Nicholas Roy · 2014
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Domestic Robots for Older Adults: Attitudes, Preferences, and Potential
Cory-Ann Smarr, Tracy L Mitzner, Jenay M Beer, Akanksha Prakash, Tiffany L Chen, Charles C Kemp, and Wendy A Rogers · 2014
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Robot Programming by Demonstration with situated spatial language understanding
Maxwell Forbes, Rajesh P. N. Rao, Luke Zettlemoyer, and Maya Cakmak · 2015
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Natural language communication with robots
Yonatan Bisk, Deniz Yuret, and Daniel Marcu · 2016
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C-LEARN: Learning geometric constraints from demonstrations for multi-step manipulation in shared autonomy
Claudia Perez-D’Arpino and Julie A. Shah · 2017
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Control flow for robust one-shot robot programming using entity-based resources
Eric M. Orendt and Dominik Henrich · 2017
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Inferring geometric constraints in human demonstrations
Guru Subramani, Michael Zinn, and Michael Gleicher · 2018
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Chasing ghosts: Instruction following as bayesian state tracking
Peter Anderson, Ayush Shrivastava, Devi Parikh, Dhruv Batra, and Stefan Lee · 2019
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A review of methodologies for natural-language-facilitated human–robot cooperation
Rui Liu and Xiaoli Zhang · 2019
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Manipulation Motion Taxonomy and Coding for Robots
David Paulius, Yongqiang Huang, Jason Meloncon, and Yu Sun · 2019
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Verbal focus-of-attention system for learning-from-demonstration
Naoki Wake, Iori Yanokura, Kazuhiro Sasabuchi, and Katsushi Ikeuchi · 2020
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Task-oriented motion mapping on robots of various configuration using body role division
Kazuhiro Sasabuchi, Naoki Wake, and Katsushi Ikeuchi · 2020
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Grasp-type recognition leveraging object affordance
Naoki Wake, Kazuhiro Sasabuchi, and Katsushi Ikeuchi · 2020
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A Motion Taxonomy for Manipulation Embedding
Paulius David, Nicholas Eales, and Yu Sun · 2020
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Understanding action sequences based on video captioning for learning-from-observation
Iori Yanokura, Naoki Wake, Kazuhiro Sasabuchi, Katsushi Ikeuchi, and Masayuki Inaba · 2020
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Naoki Wake, Riku Arakawa, Iori Yanokura, Takuya Kiyokawa, Kazuhiro Sasabuchi, Jun Takamatsu, and Katsushi Ikeuchi · 2021
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