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Shared autonomy provides an effective framework for human-robot collaboration that takes advantage of the complementary strengths of humans and robots to achieve common goals.
Manipulators used for handling radioactive materials
Ray C. Goertz · 1963
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Virtual fixtures: Perceptual tools for telerobotic manipulation
Louis B. Rosenberg · 1993
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A framework for behavioural cloning
Michael Bain · 1995
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Human integration into robot control utilising potential fields
Peter Aigner and Brenan McCarragher · 1997
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Constrained Markov decision processes , volume 7
Eitan Altman · 1999
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Cooperative human and machine perception in teleoperated assembly
Thomas Debus, Jeffrey Stoll, Robert D. Howe, and Pierre Dupont · 2000
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Algorithms for inverse reinforcement learning
Andrew Y. Ng and Stuart J. Russell · 2000
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Policy gradient methods for reinforcement learning with function approximation
Richard S. Sutton, David A. McAllester, Satinder P. Singh, and Yishay Mansour · 2000
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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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Recognition of operator motions for real-time assistance using virtual fixtures
Ming Li and Allison M. Okamura · 2003
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Apprenticeship learning via inverse reinforcement learning
Pieter Abbeel and Andrew Y. Ng · 2004
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Adaptive virtual fixtures for machine-assisted teleoperation tasks
Daniel Aarno, Staffan Ekvall, and Danica Kragic · 2005
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Teleoperation of a robot manipulator using a vision-based human-robot interface
Jonathan Kofman, Xianghai Wu, Timothy J Luu, and Siddharth Verma · 2005
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Human-machine collaborative systems for microsurgical applications
Danica Kragic, Panadda Marayong, Ming Li, Allison M. Okamura, and Gregory D. Hager · 2005
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Telemanipulation assistance based on motion intention recognition
Wentao Yu, Redwan Alqasemi, Rajiv Dubey, and Norali Pernalete · 2005
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Continuous shared control for stabilizing reaching and grasping with brain-machine interfaces
Hyun K. Kim, J. Biggs, W. Schloerb, M. Carmena, Mikhail A. Lebedev, Miguel A.L. Nicolelis, and Mandayam A. Srinivasan · 2006
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Maximum margin planning
Nathan D. Ratliff, J. Andew Bagnell, and Martin A. Zinkevich · 2006
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Effects of anticipatory action on human-robot teamwork efficiency, fluency, and perception of team
Guy Hoffman and Cynthia Breazeal · 2007
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Maximum entropy inverse reinforcement learning
Brian D. Ziebart, A. Maas, J. Andrew Bagnell, and Anind. K. Dey · 2008
Cited alongside, same era.
How autonomy impacts performance and satisfaction: Results from a study with spinal cord injured subjects using an assistive robot
Dae-Jin Kim, Rebekah Hazlett-Knudsen, Heather Culver-Godfrey, Greta Rucks, Tara Cunningham, David Portee, John Bricout, Zhao Wang, and Aman Behal · 2011
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Constraint-based planning and control for safe, semi-autonomous operation of vehicles
Sterling J Anderson, Sisir B Karumanchi, and Karl Iagnemma · 2012
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Formalizing assistive teleoperation
Anca D. Dragan and Siddhartha S. Srinivasa · 2012
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Assisted teleoperation strategies for aggressively controlling a robot arm with 2D input
Erkang You and Kris Hauser · 2012
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A policy-blending formalism for shared control
End-to-end training of deep visuomotor policies
Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel · 2016
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A decision-theoretic approach for the collaborative control of a smart wheelchair
Mahmoud Ghorbel, Joelle Pineau, Richard Gourdeau, Shervin Javdani, and Siddhartha Srinivasa · 2017
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Autonomy infused teleoperation with application to brain computer interface controlled manipulation
Katharina Muelling, Arun Venkatraman, Jean-Sebastien Valois, John E. Downey, Jeffrey Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, and J. Andrew Bagnell · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention
Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, and Daniela Rus · 2017
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Anca D. Dragan and Siddhartha S. Srinivasa · 2013
Cited alongside, same era.
Recognition, prediction, and planning for assisted teleoperation of freeform tasks
Kris Hauser · 2013
Cited alongside, same era.
Anticipating human activities using object affordances for reactive robotic response
Hema S. Koppula and Ashutosh Saxena · 2013
Cited alongside, same era.
Playing Atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
Cited alongside, same era.
Decision-making authority, team efficiency and human worker satisfaction in mixed human—robot teams
Matthew C Gombolay, Reymundo A Gutierrez, Giancarlo F Sturla, and Julie A Shah · 2014
Cited alongside, same era.
Shared autonomy via hindsight optimization
Shervin Javdani, Siddhartha S. Srinivasa, and J. Andrew Bagnell · 2015
Cited alongside, same era.
Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification
Claudia Pérez-D’Arpino and Julie A Shah · 2015
Cited alongside, same era.
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A topology of shared control systems—finding common ground in diversity
David A Abbink, Tom Carlson, Mark Mulder, Joost C.F. de Winter, Farzad Aminravan, Tricia L. Gibo, and Erwin R Boer · 2018
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Learning steering bounds for parallel autonomous systems
Alexander Amini, Liam Paull, Thomas Balch, Sertac Karaman, and Daniela Rus · 2018
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Learning models for shared control of human-machine systems with unknown dynamics
Alexander Broad, Todd Murphey, and Brenna Argall · 2018
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Addressing function approximation error in actor-critic methods
Scott Fujimoto, Herke van Hoof, and David Meger · 2018
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Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Sergey Levine, Peter Pastor, Alex Krizhevsky, Julian Ibarz, and Deirdre Quillen · 2018
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Sim-to-real transfer of robotic control with dynamics randomization
Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, and Pieter Abbeel · 2018
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Shared autonomy via deep reinforcement learning
Siddharth Reddy, Anca Dragan, and Sergey Levine · 2018
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Tom Silver, Kelsey R. Allen, Joshua B. Tenenbaum, and Leslie Pack Kaelbling · 2018
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Reinforcement Learning: An Introduction
Richard S. Sutton and Andrew G. Barto · 2018
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Sim-to-real: Learning agile locomotion for quadruped robots
Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, and Vincent Vanhoucke · 2018
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Highly parallelized data-driven MPC for minimal intervention shared control
Alexander Broad, Todd Murphey, and Brenna Argall · 2019
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Residual reinforcement learning for robot control
Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, and Sergey Levine · 2019
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