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Grasping objects under uncertainty remains an open problem in robotics research.
Planning optimal grasps
Carlo Ferrari and John Canny · 1992
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Policy invariance under reward transformations: Theory and application to reward shaping
Andrew Y Ng, Daishi Harada, and Stuart Russell · 1999
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Policy gradient methods for reinforcement learning with function approximation
Richard S. Sutton, David McAllester, Satinder Singh, and Yishay Mansour · 1999
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Design and use paradigms for gazebo, an open-source multi-robot simulator
Nathan Koenig and Andrew Howard · 2004
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Assessing grasp stability based on learning and haptic data
Yasemin Bekiroglu, Janne Laaksonen, Jimmy Alison Jorgensen, Ville Kyrki, and Danica Kragic · 2011
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Physical human interactive guidance: Identifying grasping principles from human-planned grasps
Ravi Balasubramanian, Ling Xu, Peter D Brook, Joshua R Smith, and Yoky Matsuoka · 2012
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Mujoco: A physics engine for model-based control
Emanuel Todorov, Tom Erez, and Yuval Tassa · 2012
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Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
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Probabilistic object tracking using a range camera
M. Wüthrich, P. Pastor, M. Kalakrishnan, J. Bohg, and S. Schaal · 2013
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Data-driven grasp synthesis—a survey
Jeannette Bohg, Antonio Morales, Tamim Asfour, and Danica Kragic · 2014
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A direct method for trajectory optimization of rigid bodies through contact
M Posa, C Cantu, and R Tedrake · 2014
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Leveraging big data for grasp planning
Daniel Kappler, Jeannette Bohg, and Stefan Schaal · 2015
Cited alongside, same era.
Trust region policy optimization
John Schulman, Sergey Levine, Pieter Abbeel, Michael Jordan, and Philipp Moritz · 2015
Cited alongside, same era.
Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor
Zhe Su, Karol Hausman, Yevgen Chebotar, Artem Molchanov, Gerald E Loeb, Gaurav S Sukhatme, and Stefan Schaal · 2015
Cited alongside, same era.
Stabilizing novel objects by learning to predict tactile slip
Filipe Veiga, Herke Van Hoof, Jan Peters, and Tucker Hermans · 2015
Cited alongside, same era.
Generalizing regrasping with supervised policy learning
Y. Chebotar, K. Hausman, O. Kroemer, G.S. Sukhatme, and S. Schaal · 2016
Cited alongside, same era.
Learning dexterous manipulation policies from experience and imitation
Improved gelsight tactile sensor for measuring geometry and slip
Siyuan Dong, Wenzhen Yuan, and Edward Adelson · 2017
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Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, and Ken Goldberg · 2017
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Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
X. B. Peng, M. Andrychowicz, W. Zaremba, and P. Abbeel · 2017
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Learning complex dexterous manipulation with deep reinforcement learning and demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, John Schulman, Emanuel Todorov, and Sergey Levine · 2017
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Vikash Kumar, Abhishek Gupta, Emanuel Todorov, and Sergey Levine · 2016
Cited alongside, same era.
Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
Lerrel Pinto and Abhinav Gupta · 2016
Cited alongside, same era.
Reinforcement learning for pivoting task
Rika Antonova, Silvia Cruciani, Christian Smith, and Danica Kragic · 2017
Cited alongside, same era.
The feeling of success: Does touch sensing help predict grasp outcomes?
Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin, Edward H Adelson, and Sergey Levine · 2017
Cited alongside, same era.
Openai baselines
Prafulla Dhariwal, Christopher Hesse, Matthias Plappert, Alec Radford, John Schulman, Szymon Sidor, and Yuhuai Wu · 2017
Cited alongside, same era.
End-to-end training of deep visuomotor policies
Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel
Cited in the paper.
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
Cited in the paper.
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Grasp pose detection in point clouds
Andreas ten Pas, Marcus Gualtieri, Kate Saenko, and Robert Platt Jr · 2017
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Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, and Sergey Levine · 2018
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Real-time perception meets reactive motion generation
D. Kappler, F. Meier, J. Issac, J. Mainprice, C. Garcia Cifuentes, M. Wuthrich, V. Berenz, S. Schaal, N. Ratliff, and J. Bohg · 2018
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On Time Optimization of Centroidal Momentum Dynamics
Brahayam Ponton, Alexander Herzog, Andrea Del Prete, Stefan Schaal, and Ludovic Righetti · 2018
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An efficient acyclic contact planner for multiped robots
S. Tonneau, A. Del Prete, J. Pettré, C. Park, D. Manocha, and N. Mansard · 2018
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