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A successful grasp requires careful balancing of the contact forces.
Integrated tactile sensing for gripper fingers
A. Bicchi, M. Bergamasco, P. Dario, and A. Fiorillo · 1988
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Tactile sensing and control of robotic manipulation
R. D. Howe · 1993
Earlier work this paper cites.
Robot grasp synthesis algorithms: A survey
K. B. Shimoga · 1996
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Learning to grasp using visual information
I. Kamon, T. Flash, and S. Edelman · 1996
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Integration of vision, force and tactile sensing for grasping
P. K. Allen, A. T. Miller, P. Y. Oh, and B. S. Leibowitz · 1999
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Robotic grasping of novel objects using vision
A. Saxena, J. Driemeyer, and A. Y. Ng · 2008
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Coding and use of tactile signals from the fingertips in object manipulation tasks
R. S. Johansson and J. R. Flanagan · 2009
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Retrographic sensing for the measurement of surface texture and shape
M. K. Johnson and E. Adelson · 2009
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Human-inspired robotic grasp control with tactile sensing
J. M. Romano, K. Hsiao, G. Niemeyer, S. Chitta, and K. J. Kuchenbecker · 2011
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Global optimization of robotic grasps
C. Rosales, J. M. Porta, and L. Ros · 2011
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Data-driven grasping
C. Goldfeder and P. K. Allen · 2011
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Tactile sensing for dexterous in-hand manipulation in robotics—a review
H. Yousef, M. Boukallel, and K. Althoefer · 2011
Cited alongside, same era.
Assessing grasp stability based on learning and haptic data
Y. Bekiroglu, J. Laaksonen, J. A. Jorgensen, V. Kyrki, and D. Kragic · 2011
Cited alongside, same era.
Multimodal deep learning
J. Ngiam, A. Khosla, M. Kim, J. Nam, H. Lee, and A. Y. Ng · 2011
Cited alongside, same era.
From caging to grasping
A. Rodriguez, M. T. Mason, and S. Ferry · 2012
Cited alongside, same era.
Learning continuous grasp stability for a humanoid robot hand based on tactile sensing
J. Schill, J. Laaksonen, M. Przybylski, V. Kyrki, T. Asfour, and R. Dillmann · 2012
Cited alongside, same era.
Learning to Assess Grasp Stability from Vision, Touch and Proprioception
Y. Bekiroglu · 2012
Cited alongside, same era.
Deep learning for detecting robotic grasps
I. Lenz, H. Lee, and A. Saxena · 2015
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Leveraging big data for grasp planning
D. Kappler, J. Bohg, and S. Schaal · 2015
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A slip detection and correction strategy for precision robot grasping
M. Stachowsky, T. Hummel, M. Moussa, and H. A. Abdullah · 2016
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Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
L. Pinto and A. Gupta · 2016
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Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
S. Levine, P. Pastor, A. Krizhevsky, J. Ibarz, and D. Quillen · 2016
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Deep learning a grasp function for grasping under gripper pose uncertainty
E. Johns, S. Leutenegger, and A. J. Davison · 2016
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Data-driven grasp synthesis – a survey
J. Bohg, A. Morales, T. Asfour, and D. Kragic · 2013
Cited alongside, same era.
Learning of grasp adaptation through experience and tactile sensing
M. Li, Y. Bekiroglu, D. Kragic, and A. Billard · 2014
Cited alongside, same era.
Control framework for dexterous manipulation using dynamic visual servoing and tactile sensors’ feedback
C. A. Jara, J. Pomares, F. A. Candelas, and F. Torres · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
Cited alongside, same era.
Stabilizing novel objects by learning to predict tactile slip
F. Veiga, H. van Hoof, J. Peters, and T. Hermans · 2015
Cited alongside, same era.
Shape-independent hardness estimation using deep learning and a gelsight tactile sensor
W. Yuan, C. Zhu, A. Owens, M. A. Srinivasan, and E. H. Adelson
Cited in the paper.
Later among the works it cites.
Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards
J. Mahler, F. T. Pokorny, B. Hou, M. Roderick, M. Laskey, M. Aubry, K. Kohlhoff, T. Kröger, J. Kuffner, and K. Goldberg · 2016
Later among the works it cites.
High precision grasp pose detection in dense clutter
M. Gualtieri, A. ten Pas, K. Saenko, and R. Platt · 2016
Later among the works it cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Later among the works it cites.
Improved gelsight tactile sensor for measuring geometry and slip
S. Dong, W. Yuan, and E. Adelson · 2017
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Learning a visuomotor controller for real world robotic grasping using easily simulated depth images
U. Viereck, A. t. Pas, K. Saenko, and R. Platt · 2017
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