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Large-scale data is an essential component of machine learning as demonstrated in recent advances in natural language processing and computer vision research.
Nasa task load index (tlx)
Sandra G Hart · 1986
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Development of nasa-tlx (task load index): Results of empirical and theoretical research
Sandra G Hart and Lowell E Staveland · 1988
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Alvinn: An autonomous land vehicle in a neural network
Dean A Pomerleau · 1989
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Traded control with autonomous robots as mixed initiative interaction
David Kortenkamp, R Peter Bonasso, Dan Ryan, and Debbie Schreckenghost · 1997
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Characterizing efficiency of human robot interaction: A case study of shared-control teleoperation
Jacob W Crandall and Michael A Goodrich · 2002
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Survey: Robot programming by demonstration
Aude Billard, Sylvain Calinon, Ruediger Dillmann, and Stefan Schaal · 2008
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Kinesthetic bootstrapping: Teaching motor skills to humanoid robots through physical interaction
Heni Ben Amor, Erik Berger, David Vogt, and Bernhard Jung · 2009
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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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A reduction of imitation learning and structured prediction to no-regret online learning
Stéphane Ross, Geoffrey Gordon, and Drew Bagnell · 2011
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Mujoco: A physics engine for model-based control
Emanuel Todorov, Tom Erez, and Yuval Tassa · 2012
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A policy-blending formalism for shared control
Anca D Dragan and Siddhartha S Srinivasa · 2013
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Blending of human and obstacle avoidance control for a high speed mobile robot
Justin G Storms and Dawn M Tilbury · 2014
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Shared autonomy via hindsight optimization
Shervin Javdani, Siddhartha S Srinivasa, and J Andrew Bagnell · 2015
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Learning structured output representation using deep conditional generative models
Kihyuk Sohn, Honglak Lee, and Xinchen Yan · 2015
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Hubot: A three state human-robot collaborative framework for bimanual surgical tasks based on learned models
Pierre Berthet-Rayne, Maura Power, Hawkeye King, and Guang-Zhong Yang · 2016
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Exploring shared control in automated driving
Mishel Johns, Brian Mok, David Sirkin, Nikhil Gowda, Catherine Smith, Walter Talamonti, and Wendy Ju · 2016
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From autonomy to cooperative traded control of humanoid manipulation tasks with unreliable communication: Applications to the valve-turning task of the darpa robotics challenge and lessons learned
Calder Phillips-Grafflin, Halit Bener Suay, Jim Mainprice, Nicholas Alunni, Daniel Lofaro, Dmitry Berenson, Sonia Chernova, Robert W Lindeman, and Paul Oh · 2016
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Annotating object instances with a polygon-rnn
Lluis Castrejon, Kaustav Kundu, Raquel Urtasun, and Sanja Fidler · 2017
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Review on space robotics: Toward top-level science through space exploration
Yang Gao and Steve Chien · 2017
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Simple and scalable predictive uncertainty estimation using deep ensembles
Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2017
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Human-robot mutual adaptation in shared autonomy
Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, and Siddhartha Srinivasa · 2017
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Shared autonomy with learned latent actions
Hong Jun Jeon, Dylan P Losey, and Dorsa Sadigh · 2020
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Controlling assistive robots with learned latent actions
Dylan P Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, and Dorsa Sadigh · 2020
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Learning latent plans from play
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, and Pierre Sermanet · 2020
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Four years in review: Statistical practices of likert scales in human-robot interaction studies
Mariah L Schrum, Michael Johnson, Muyleng Ghuy, and Matthew C Gombolay · 2020
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Assistive tele-op: Leveraging transformers to collect robotic task demonstrations
Henry M Clever, Ankur Handa, Hammad Mazhar, Kevin Parker, Omer Shapira, Qian Wan, Yashraj Narang, Iretiayo Akinola, Maya Cakmak, and Dieter Fox · 2021
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Towards shared autonomy for robotic tasks in manufacturing
Andreas Pichler, Sharath Chandra Akkaladevi, Markus Ikeda, Michael Hofmann, Matthias Plasch, Christian Wögerer, and Gerald Fritz · 2017
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Query-efficient imitation learning for end-to-end autonomous driving
Jiakai Zhang and Kyunghyun Cho · 2017
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Efficient interactive annotation of segmentation datasets with polygon-rnn++
David Acuna, Huan Ling, Amlan Kar, and Sanja Fidler · 2018
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Autonomy in rehabilitation robotics: An intersection
Brenna D Argall · 2018
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Roboturk: A crowdsourcing platform for robotic skill learning through imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, and Li Fei-Fei · 2018
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Deep imitation learning for complex manipulation tasks from virtual reality teleoperation
Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, and Pieter Abbeel · 2018
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Scaling data-driven robotics with reward sketching and batch reinforcement learning
Serkan Cabi, Sergio Gomez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerik, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, and Ziyu Wang · 2019
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Pybullet, a python module for physics simulation for games, robotics and machine learning
Erwin Coumans and Yunfei Bai · 2021
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Lazydagger: Reducing context switching in interactive imitation learning
Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S Brown, Daniel Seita, Brijen Thananjeyan, Ellen Novoseller, and Ken Goldberg · 2021
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IKEA furniture assembly environment for long-horizon complex manipulation tasks
Youngwoon Lee, Edward S Hu, Zhengyu Yang, Alex Yin, and Joseph J Lim · 2021
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Aw-opt: Learning robotic skills with imitation and reinforcement at scale
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, and Sergey Levine · 2021
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What matters in learning from offline human demonstrations for robot manipulation
Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, and Roberto Martín-Martín · 2021
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A system for traded control teleoperation of manipulation tasks using intent prediction from hand gestures
Yoojin Oh, Tim Schäfer, Benedikt Rüther, Marc Toussaint, and Jim Mainprice · 2021
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Autonomy in physical human-robot interaction: A brief survey
Mario Selvaggio, Marco Cognetti, Stefanos Nikolaidis, Serena Ivaldi, and Bruno Siciliano · 2021
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Rt-1: Robotics transformer for real-world control at scale
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael Ryoo, Grecia Salazar, Pannag Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, and Brianna Zitkovich · 2022
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Bridge data: Boosting generalization of robotic skills with cross-domain datasets
Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, and Sergey Levine · 2022
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Evaluating human–robot interaction algorithms in shared autonomy via quality diversity scenario generation
Matthew C Fontaine and Stefanos Nikolaidis · 2022
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R3m: A universal visual representation for robot manipulation
Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, and Abhinav Gupta · 2022
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