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Current learning-based robot grasping approaches exploit human-labeled datasets for training the models.
Planning collision-free motions for pick-and-place operations
Rodney A Brooks · 1983
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Constructing force-closure grasps
Van-Duc Nguyen · 1988
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Task-level planning of pick-and-place robot motions
Tomás Lozano-Pérez, Joseph L. Jones, Emmanuel Mazer, and Patrick A. O’Donnell · 1989
Earlier work this paper cites.
Handwritten digit recognition with a back-propagation network
B Boser Le Cun, John S Denker, D Henderson, Richard E Howard, W Hubbard, and Lawrence D Jackel · 1990
Earlier work this paper cites.
Robot grasp synthesis algorithms: A survey
Karun B Shimoga · 1996
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Sparse coding with an overcomplete basis set: A strategy employed by v1?
Bruno A Olshausen and David J Field · 1997
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Robotic grasping and contact: A review
Antonio Bicchi and Vijay Kumar · 2000
Earlier work this paper cites.
Automatic grasp planning using shape primitives
Andrew T Miller, Steffen Knoop, Henrik I Christensen, and Peter K Allen · 2003
Earlier work this paper cites.
Graspit! a versatile simulator for robotic grasping
Andrew T Miller and Peter K Allen · 2004
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Histograms of oriented gradients for human detection
Navneet Dalal and Bill Triggs · 2005
Earlier work this paper cites.
Robotic grasping of novel objects using vision
Ashutosh Saxena, Justin Driemeyer, and Andrew Y Ng · 2008
Earlier work this paper cites.
The columbia grasp database
Corey Goldfeder, Matei Ciocarlie, Hao Dang, and Peter K Allen · 2009
Cited alongside, same era.
Learning object-specific grasp affordance densities
Renaud Detry, Emre Baseski, Mila Popovic, Younes Touati, N Kruger, Oliver Kroemer, Jan Peters, and Justus Piater · 2009
Cited alongside, same era.
Ros: an open-source robot operating system
Morgan Quigley, Ken Conley, Brian Gerkey, Josh Faust, Tully Foote, Jeremy Leibs, Rob Wheeler, and Andrew Y Ng · 2009
Cited alongside, same era.
A reduction of imitation learning and structured prediction to no-regret online learning
Stéphane Ross, Geoffrey J Gordon, and J Andrew Bagnell · 2010
Cited alongside, same era.
Automated construction of robotic manipulation programs
Rosen Diankov · 2010
Cited alongside, same era.
Efficient grasping from rgbd images: Learning using a new rectangle representation
Deep learning for detecting robotic grasps
Ian Lenz, Honglak Lee, and Ashutosh Saxena · 2013
Later among the works it cites.
Data-driven grasp synthesis—a survey
Jeannette Bohg, Antonio Morales, Tamim Asfour, and Danica Kragic · 2014
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A data-driven statistical framework for post-grasp manipulation
Robert Paolini, Alberto Rodriguez, Siddhartha Srinivasa, and Matthew T. Mason · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Real-time grasp detection using convolutional neural networks
Joseph Redmon and Anelia Angelova · 2014
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Yun Jiang, Stephen Moseson, and Ashutosh Saxena · 2011
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Cited alongside, same era.
Visgrab: A benchmark for vision-based grasping
Gert Kootstra, Mila Popović, Jimmy Alison Jørgensen, Danica Kragic, Henrik Gordon Petersen, and Norbert Krüger · 2012
Cited alongside, same era.
Pose error robust grasping from contact wrench space metrics
Jonathan Weisz and Peter K Allen · 2012
Cited alongside, same era.
Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions
Luis Montesano and Manuel Lopes · 2012
Cited alongside, same era.
Using depth and appearance features for informed robot grasping of highly wrinkled clothes
Arnau Ramisa, Guillem Alenya, Francesc Moreno-Noguer, and Carme Torras · 2012
Cited alongside, same era.
Using experience for assessing grasp reliability
Antonio Morales, Eris Chinellato, Andrew H Fagg, and Angel P Del Pobil
Cited in the paper.
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell · 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
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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
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Learning contact-rich manipulation skills with guided policy search
Sergey Levine, Nolan Wagener, and Pieter Abbeel · 2015
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Learning to manipulate unknown objects in clutter by reinforcement
Abdeslam Boularias, James Andrew Bagnell, and Anthony Stentz · 2015
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