Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Reference35 articles.
1. Jiang, Y., Moseson, S., Saxena, A.: Efficient grasping from rgbd images: learning using a new rectangle representation. In: 2011 IEEE International Conference on Robotics and Automation, pp. 3304–3311 (2011). IEEE
2. Kumra, S., Kanan, C.: Robotic grasp detection using deep convolutional neural networks. In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 769–776 (2017). IEEE
3. Lenz, I., Lee, H., Saxena, A.: Deep learning for detecting robotic grasps. Int. J. Robot. Res. 34(4–5), 705–724 (2015)
4. Nandi, G., Agarwal, P., Gupta, P., Singh, A.: Deep learning based intelligent robot grasping strategy. In: 2018 IEEE 14th International Conference on Control and Automation (ICCA), 1064–1069 (2018)
5. Redmon, J., Angelova, A.: Real-time grasp detection using convolutional neural networks. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 1316–1322 (2015). IEEE
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