-
1
-
-
84893741253
-
Deep learning for detecting robotic grasps
-
Berlin, Germany, June
-
I. Lenz, H. Lee, and A. Saxena, "Deep learning for detecting robotic grasps," in Proceedings of Robotics: Science and Systems, Berlin, Germany, June 2013.
-
(2013)
Proceedings of Robotics: Science and Systems
-
-
Lenz, I.1
Lee, H.2
Saxena, A.3
-
2
-
-
84871700305
-
Efficient grasping from rgbd images: Learning using a new rectangle representation
-
Y. Jiang, S. Moseson, and A. Saxena, "Efficient grasping from rgbd images: Learning using a new rectangle representation," in IEEE International Conference on Robotics & Automation (ICRA). IEEE, 2011, pp. 3304-3311.
-
(2011)
IEEE International Conference on Robotics & Automation (ICRA). IEEE
, pp. 3304-3311
-
-
Jiang, Y.1
Moseson, S.2
Saxena, A.3
-
4
-
-
0345308464
-
Automatic grasp planning using shape primitives
-
IEEE
-
A. T. Miller, S. Knoop, H. I. Christensen, and P. K. Allen, "Automatic grasp planning using shape primitives," in IEEE International Conference on Robotics & Automation (ICRA), vol. 2. IEEE, 2003, pp. 1824-1829.
-
(2003)
IEEE International Conference on Robotics & Automation (ICRA)
, vol.2
, pp. 1824-1829
-
-
Miller, A.T.1
Knoop, S.2
Christensen, H.I.3
Allen, P.K.4
-
5
-
-
12444343137
-
Graspit! a versatile simulator for robotic grasping
-
A. T. Miller and P. K. Allen, "Graspit! a versatile simulator for robotic grasping," Robotics & Automation Magazine, IEEE, vol. 11, no. 4, pp. 110-122, 2004.
-
(2004)
Robotics & Automation Magazine, IEEE
, vol.11
, Issue.4
, pp. 110-122
-
-
Miller, A.T.1
Allen, P.K.2
-
6
-
-
3042649832
-
An svm learning approach to robotic grasping
-
IEEE
-
R. Pelossof, A. Miller, P. Allen, and T. Jebara, "An svm learning approach to robotic grasping," in IEEE International Conference on Robotics & Automation (ICRA), vol. 4. IEEE, 2004, pp. 3512-3518.
-
(2004)
IEEE International Conference on Robotics & Automation (ICRA)
, vol.4
, pp. 3512-3518
-
-
Pelossof, R.1
Miller, A.2
Allen, P.3
Jebara, T.4
-
7
-
-
78650270094
-
Opengrasp: A toolkit for robot grasping simulation
-
Springer
-
B. León, S. Ulbrich, R. Diankov, G. Puche, M. Przybylski, A. Morales, T. Asfour, S. Moisio, J. Bohg, J. Kuffner, et al., "Opengrasp: A toolkit for robot grasping simulation," in Simulation, Modeling, and Programming for Autonomous Robots. Springer, 2010, pp. 109-120.
-
(2010)
Simulation, Modeling, and Programming for Autonomous Robots
, pp. 109-120
-
-
León, B.1
Ulbrich, S.2
Diankov, R.3
Puche, G.4
Przybylski, M.5
Morales, A.6
Asfour, T.7
Moisio, S.8
Bohg, J.9
Kuffner, J.10
-
8
-
-
84455168545
-
A large-scale hierarchical multi-view rgb-d object dataset
-
K. Lai, L. Bo, X. Ren, and D. Fox, "A large-scale hierarchical multi-view rgb-d object dataset," in IEEE International Conference on Robotics & Automation (ICRA). IEEE, 2011, pp. 1817-1824.
-
(2011)
IEEE International Conference on Robotics & Automation (ICRA). IEEE
, pp. 1817-1824
-
-
Lai, K.1
Bo, L.2
Ren, X.3
Fox, D.4
-
10
-
-
84864477116
-
A learned feature descriptor for object recognition in rgb-d data
-
M. Blum, J. T. Springenberg, J. Wulfing, and M. Riedmiller, "A learned feature descriptor for object recognition in rgb-d data," in IEEE International Conference on Robotics & Automation (ICRA). IEEE, 2012, pp. 1298-1303.
-
(2012)
IEEE International Conference on Robotics & Automation (ICRA). IEEE
, pp. 1298-1303
-
-
Blum, M.1
Springenberg, J.T.2
Wulfing, J.3
Riedmiller, M.4
-
11
-
-
84863364300
-
Rgb-d mapping: Using depth cameras for dense 3d modeling of indoor environments
-
P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox, "Rgb-d mapping: Using depth cameras for dense 3d modeling of indoor environments," in In the 12th International Symposium on Experimental Robotics (ISER). Citeseer, 2010.
-
(2010)
The 12th International Symposium on Experimental Robotics (ISER). Citeseer
-
-
Henry, P.1
Krainin, M.2
Herbst, E.3
Ren, X.4
Fox, D.5
-
12
-
-
84864435705
-
An evaluation of the rgb-d slam system
-
F. Endres, J. Hess, N. Engelhard, J. Sturm, D. Cremers, and W. Burgard, "An evaluation of the rgb-d slam system," in IEEE International Conference on Robotics & Automation (ICRA). IEEE, 2012, pp. 1691-1696.
-
(2012)
IEEE International Conference on Robotics & Automation (ICRA). IEEE
, pp. 1691-1696
-
-
Endres, F.1
Hess, J.2
Engelhard, N.3
Sturm, J.4
Cremers, D.5
Burgard, W.6
-
13
-
-
38649089443
-
Robotic grasping of novel objects using vision
-
A. Saxena, J. Driemeyer, and A. Y. Ng, "Robotic grasping of novel objects using vision," The International Journal of Robotics Research, vol. 27, no. 2, pp. 157-173, 2008.
-
(2008)
The International Journal of Robotics Research
, vol.27
, Issue.2
, pp. 157-173
-
-
Saxena, A.1
Driemeyer, J.2
Ng, A.Y.3
-
14
-
-
78651483922
-
Grasping novel objects with depth segmentation
-
D. Rao, Q. V. Le, T. Phoka, M. Quigley, A. Sudsang, and A. Y. Ng, "Grasping novel objects with depth segmentation," in Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on. IEEE, 2010, pp. 2578-2585.
-
(2010)
Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference On. IEEE
, pp. 2578-2585
-
-
Rao, D.1
Le, Q.V.2
Phoka, T.3
Quigley, M.4
Sudsang, A.5
Ng, A.Y.6
-
15
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in Advances in neural information processing systems, 2012, pp. 1097-1105.
-
(2012)
Advances in Neural Information Processing Systems
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
16
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation," in Computer Vision and Pattern Recognition, 2014.
-
(2014)
Computer Vision and Pattern Recognition
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
17
-
-
84898989329
-
Deep neural networks for object detection
-
C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Weinberger, Eds. Curran Associates, Inc.
-
C. Szegedy, A. Toshev, and D. Erhan, "Deep neural networks for object detection," in Advances in Neural Information Processing Systems 26, C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Weinberger, Eds. Curran Associates, Inc., 2013, pp. 2553-2561. [Online]. Available: http://papers. nips. cc/paper/ 5207-deep-neural-networks-for-object-detection. pdf
-
(2013)
Advances in Neural Information Processing Systems
, vol.26
, pp. 2553-2561
-
-
Szegedy, C.1
Toshev, A.2
Erhan, D.3
-
18
-
-
84906546808
-
-
arXiv preprint arXiv:1312. 2249
-
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov, "Scalable object detection using deep neural networks," arXiv preprint arXiv:1312. 2249, 2013.
-
(2013)
Scalable Object Detection Using Deep Neural Networks
-
-
Erhan, D.1
Szegedy, C.2
Toshev, A.3
Anguelov, D.4
-
19
-
-
84938267284
-
-
accessed: 2013-09-01
-
"Cornell grasping dataset," http://pr. cs. cornell. edu/grasping/rect data/ data. php, accessed: 2013-09-01.
-
Cornell Grasping Dataset
-
-
-
20
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, "Imagenet: A large-scale hierarchical image database," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2009, pp. 248-255.
-
(2009)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
21
-
-
84908539410
-
Learning and transferring mid-level image representations using convolutional neural networks
-
Columbus, OH, Etats-Unis, Nov. 2013, conference version of the paper
-
M. Oquab, L. Bottou, I. Laptev, and J. Sivic, "Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks," in IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, Etats-Unis, Nov. 2013, conference version of the paper. [Online]. Available: http://hal. inria. fr/hal-00911179
-
IEEE Conference on Computer Vision and Pattern Recognition
-
-
Oquab, M.1
Bottou, L.2
Laptev, I.3
Sivic, J.4
-
22
-
-
84904482223
-
-
arXiv preprint arXiv:1310. 1531
-
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell, "Decaf: A deep convolutional activation feature for generic visual recognition," arXiv preprint arXiv:1310. 1531, 2013.
-
(2013)
Decaf: A Deep Convolutional Activation Feature for Generic Visual Recognition
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
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