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This paper introduces a machine learning based system for controlling a robotic manipulator with visual perception only.
Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 1998
Earlier work this paper cites.
Mechanics of robotic manipulation
Matthew T Mason · 2001
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Survey on visual servoing for manipulation
Danica Kragic and Henrik I Christensen · 2002
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Reinforcement learning for humanoid robotics
Jan Peters, Sethu Vijayakumar, and Stefan Schaal · 2003
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Vision-assisted control for manipulation using virtual fixtures
Alessandro Bettini, Panadda Marayong, Samuel Lang, Allison M Okamura, and Gregory D Hager · 2004
Earlier work this paper cites.
Vision for robotic object manipulation in domestic settings
Danica Kragic, Mårten Björkman, Henrik I Christensen, and Jan-Olof Eklundh · 2005
Cited alongside, same era.
Imitation learning of dual-arm manipulation tasks in humanoid robots
Tamim Asfour, Pedram Azad, Florian Gyarfas, and Rüdiger Dillmann · 2008
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Cited alongside, same era.
Reinforcement learning in robotics: Applications and real-world challenges
Petar Kormushev, Sylvain Calinon, and Darwin G Caldwell · 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.
Curiosity driven reinforcement learning for motion planning on humanoids
Mikhail Frank, Jürgen Leitner, Marijn Stollenga, Alexander Förster, and Jürgen Schmidhuber · 2014
Later among the works it cites.
End-to-end training of deep visuomotor policies
Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel · 2015
Closest in time.
Learning contact-rich manipulation skills with guided policy search
Sergey Levine, Nolan Wagener, and Pieter Abbeel · 2015
Closest in time.
Human-level control through deep reinforcement learning
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
Closest in time.
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