[1] Zhang L, Xu X B, Cao C F et al. Robot pose estimation method based on image and point cloud fusion with dynamic feature elimination[J]. Chinese Journal of Lasers, 49, 0610001(2022).

[2] Cui H H, Lou H C, Tian W et al. High-precision visual positioning of hole-making datum for orbital crawling robot[J]. Acta Optica Sinica, 41, 0915002(2021).

[3] Huang H M, Liu G H, Duan K R. Robot bin-picking based on micro-electromechanical system structure light projector[J]. Chinese Journal of Lasers, 46, 0204002(2019).

[4] Du X D, Cai Y H, Lu T et al. A robotic grasping method based on deep learning[J]. Robot, 39, 820-828, 837(2017).

[5] Jiang Y, Moseson S, Saxena A. Efficient grasping from RGBD images: learning using a new rectangle representation[C], 3304-3311(2011).

[6] Lenz I, Lee H, Saxena A. Deep learning for detecting robotic grasps[J]. International Journal of Robotics Research, 34, 705-724(2015).

[7] Chu F J, Xu R N, Vela P A. Real-world multiobject, multigrasp detection[J]. IEEE Robotics and Automation Letters, 3, 3355-3362(2018).

[8] Redmon J, Angelova A. Real-time grasp detection using convolutional neural networks[C], 1316-1322(2015).

[9] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).

[10] Kumra S, Kanan C. Robotic grasp detection using deep convolutional neural networks[C], 769-776(2017).

[11] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

[12] Li Z M, Zhang J L. Detection and positioning of grab target based on deep learning[J]. Information and Control, 49, 147-153(2020).

[13] Zhang H, Duan D Y. Computational ghost imaging with compressed sensing based on a convolutional neural network[J]. Chinese Optics Letters, 19, 101101(2021).

[14] Shao B, Yang H, Zhu B et al. Infrared small target detection algorithm based on real-time semantic segmentation[J]. Laser & Optoelectronics Progress, 60, 1410006(2023).

[15] Ma Q Q, Li X J, Shi Z P. Research on light-weight convolutional neural network for robotic grasp detection[J]. Computer Engineering and Applications, 56, 141-148(2020).

[16] Morrison D, Leitner J, Corke P. Closing the loop for robotic grasping: a real-time, generative grasp synthesis approach[EB/OL]. http://www.roboticsproceedings.org/rss14/p21.pdf

[17] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015, 9351, 234-241(2015).

[18] Xiao S G. Position and attitude determination based on deep learning for object grasping[D](2019).

[19] Kumra S, Joshi S, Sahin F. Antipodal robotic grasping using generative residual convolutional neural network[C], 9626-9633(2021).

[20] Ulyanov D, Vedaldi A, Lempitsky V. Improved texture networks: maximizing quality and diversity in feed-forward stylization and texture synthesis[C], 4105-4113(2017).

[21] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C], 936-944(2017).

[22] Meyer G P. An alternative probabilistic interpretation of the Huber loss[C], 5257-5265(2021).

[23] Morrison D, Corke P, Leitner J. Learning robust, real-time, reactive robotic grasping[J]. International Journal of Robotics Research, 39, 183-201(2020).

[24] Hara K, Vemulapalli R, Chellappa R. Designing deep convolutional neural networks for continuous object orientation estimation[EB/OL]. https://arxiv.org/abs/1702.01499

[25] Kingma D P, Ba J. Adam: a method for stochastic optimization[EB/OL]. https://arxiv.org/abs/1412.6980

[26] Hao C, Tian J, Han H et al. Real-time grab detection algorithm based on attention mechanism[J]. Transducer and Microsystem Technologies, 41, 131-134(2022).

[27] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[C], 1137-1149(2016).

[28] Jiang B R, Luo R X, Mao J Y et al. Acquisition of localization confidence for accurate object detection[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018, 11218, 816-832(2018).

[29] Bergamini L, Sposato M, Pellicciari M et al. Deep learning-based method for vision-guided robotic grasping of unknown objects[J]. Advanced Engineering Informatics, 44, 101052(2020).

[30] Shi C Q, Miao C X, Zhong X G et al. Pixel-level grasp detection for unknown objects with encoder-decoder-inception deep network[C], 1153-1157(2022).