Robust Robot Grasp Detection in Multimodal Fusion

Author:

Zhang Qiang,Qu Daokui,Xu Fang,Zou Fengshan

Publisher

EDP Sciences

Subject

General Medicine

Reference19 articles.

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2. Le Q V, Kamm D, Kara A F, et al. Learning to grasp objects with multiple contact points[C]// Robotics and Automation (ICRA), 2010 IEEE International Conference on. IEEE, 2010: 5062–5069.

3. Jiang Y, Moseson S, Saxena A. Efficient grasping from rgbd images: Learning using a new rectangle representation[C]// Robotics and Automation (ICRA), 2011 IEEE International Conference on. IEEE, 2011: 3304–3311.

4. Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks[C]// Advances in neural information processing systems. 2012: 1097–1105.

5. Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]// Proceedings of the IEEE conference on computer vision and pattern recognition. 2014: 580–587.

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2. A Real-Time Grasp Detection Network Based on Multi-scale RGB-D Fusion;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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4. Lightweight robotic grasping detection network based on dual attention and inverted residual;Transactions of the Institute of Measurement and Control;2024-04-22

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