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Despite the enormous progress and generalization in robotic grasping in recent years, existing methods have yet to scale and generalize task-oriented grasping to the same extent.
Pyrobot: An open-source robotics framework for research and benchmarking
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Grasp planning: How to choose a suitable task wrench space
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J. J. Randolph · 2005
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Learning task constraints for robot grasping using graphical models
D. Song, K. Huebner, V. Kyrki, and D. Kragic · 2010
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Semantic grasping: Planning robotic grasps functionally suitable for an object manipulation task
H. Dang and P. K. Allen · 2012
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Learning relational affordance models for robots in multi-object manipulation tasks
B. Moldovan, P. Moreno, M. Van Otterlo, J. Santos-Victor, and L. De Raedt · 2012
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Devise: A deep visual-semantic embedding model
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Reasoning about object affordances in a knowledge base representation
Y. Zhu, A. Fathi, and L. Fei-Fei · 2014
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Robobrain: Large-scale knowledge engine for robots
A. Saxena, A. Jain, O. Sener, A. Jami, D. K. Misra, and H. S. Koppula · 2014
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Learning human priors for task-constrained grasping
M. Hjelm, C. H. Ek, R. Detry, and D. Kragic · 2015
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How do we use our hands? discovering a diverse set of common grasps
D.-A. Huang, M. Ma, W.-C. Ma, and K. Kitani · 2015
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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, and D. Quillen · 2016
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Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics
J. Mahler, J. Liang, S. Niyaz, M. Laskey, R. Doan, X. Liu, J. A. Ojea, and K. Goldberg · 2017
Cited alongside, same era.
Grasp pose detection in point clouds
A. ten Pas, M. Gualtieri, K. Saenko, and R. Platt · 2017
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Semi-supervised classification with graph convolutional networks
T. N. Kipf and M. Welling · 2017
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Task-oriented grasping with semantic and geometric scene understanding
R. Detry, J. Papon, and L. Matthies · 2017
Cited alongside, same era.
Affordance detection for task-specific grasping using deep learning
M. Kokic, J. A. Stork, J. A. Haustein, and D. Kragic · 2017
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End-to-end learning of semantic grasping
E. Jang, S. Vijayanarasimhan, P. Pastor, J. Ibarz, and S. Levine · 2017
Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach
L. Antanas, P. Moreno, M. Neumann, R. P. de Figueiredo, K. Kersting, J. Santos-Victor, and L. De Raedt · 2018
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Exercising affordances of objects: A part-based approach
S. R. Lakani, A. J. Rodríguez-Sánchez, and J. Piater · 2018
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Zero-shot recognition via semantic embeddings and knowledge graphs
X. Wang, Y. Ye, and A. Gupta · 2018
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Visual semantic navigation using scene priors
W. Yang, X. Wang, A. Farhadi, A. Gupta, and R. Mottaghi · 2018
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Using geometry to detect grasp poses in 3d point clouds
A. ten Pas and R. Platt · 2018
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6-DOF GraspNet: Variational grasp generation for object manipulation
A. Mousavian, C. Eppner, and D. Fox · 2019
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Cited alongside, same era.
The more you know: Using knowledge graphs for image classification
K. Marino, R. Salakhutdinov, and A. Gupta · 2017
Cited alongside, same era.
Representations for robot knowledge in the knowrob framework
M. Tenorth and M. Beetz · 2017
Cited alongside, same era.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
Cited alongside, same era.
ConceptNet 5.5: An open multilingual graph of general knowledge
R. Speer, J. Chin, and C. Havasi · 2017
Cited alongside, same era.
Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation
D. Kalashnikov, A. Irpan, P. Pastor, J. Ibarz, A. Herzog, E. Jang, D. Quillen, E. Holly, M. Kalakrishnan, V. Vanhoucke, and S. Levine · 2018
Cited alongside, same era.
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching
A. Zeng, S. Song, K.-T. Yu, E. Donlon, F. R. Hogan, M. Bauza, D. Ma, O. Taylor, M. Liu, E. Romo, et al · 2018
Cited alongside, same era.
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Adversarial grasp objects
D. Wang, D. Tseng, P. Li, Y. Jiang, M. Guo, M. Danielczuk, J. Mahler, J. Ichnowski, and K. Goldberg · 2019
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Contactdb: Analyzing and predicting grasp contact via thermal imaging
S. Brahmbhatt, C. Ham, C. Kemp, and J. Hays · 2019
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Learning grasp affordance reasoning through semantic relations
P. Ardón, È. Pairet, R. P. Petrick, S. Ramamoorthy, and K. S. Lohan · 2019
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Robocse: Robot common sense embedding
A. Daruna, W. Liu, Z. Kira, and S. Chetnova · 2019
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6-dof grasping for target-driven object manipulation in clutter
A. Murali, A. Mousavian, C. Eppner, C. Paxton, and D. Fox · 2020
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Cage: Context-aware grasping engine
W. Liu, A. Daruna, and S. Chernova · 2020
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Understanding human hands in contact at internet scale
D. Shan, J. Geng, M. Shu, and D. F. Fouhey · 2020
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Learning task-oriented grasping from human activity datasets
M. Kokic, D. Kragic, and J. Bohg · 2020
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