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For a robot to perform complex manipulation tasks, it is necessary for it to have a good grasping ability.
1906
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A. Bicchi and V. Kumar, “Robotic grasping and contact: A review,” in Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No. 00CH37065) , vol. 1. IEEE, 2000, pp. 348–353
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2017
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J. Watson, J. Hughes, and F. Iida, “Real-world, real-time robotic grasping with convolutional neural networks,” 07 2017, pp. 617–626
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J. Wei, H. Liu, G. Yan, and F. Sun, “Robotic grasping recognition using multi-modal deep extreme learning machine,” Multidimensional Systems and Signal Processing , vol. 28, no. 3, pp. 817–833, 2017
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2016
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K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” pp. 770–778, 2016
2016
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C. University, “Robot learning lab: Learning to grasp,” Available online: http://pr.cs.cornell.edu/ grasping/rect_data/data.php
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2018
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S. Caldera, A. Rassau, and D. Chai, “Review of deep learning methods in robotic grasp detection,” Multimodal Technologies and Interaction , vol. 2, no. 3, p. 57, 2018
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