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Cited article:

FANet: Fast and Accurate Robotic Grasp Detection Based on Keypoints

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Grasp Detection with Hierarchical Multi-Scale Feature Fusion and Inverted Shuffle Residual

Wenjie Geng, Zhiqiang Cao, Peiyu Guan, Fengshui Jing, Min Tan and Junzhi Yu
Tsinghua Science and Technology 29 (1) 244 (2024)
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Smaller and Faster Robotic Grasp Detection Model via Knowledge Distillation and Unequal Feature Encoding

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IEEE Robotics and Automation Letters 9 (8) 7206 (2024)
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Lightweight robotic grasping detection network based on dual attention and inverted residual

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Transactions of the Institute of Measurement and Control 46 (14) 2687 (2024)
https://doi.org/10.1177/01423312241247346

A Novel RGB-D Cross-Background Robot Grasp Detection Dataset and Background-Adaptive Grasping Network

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Efficient Grasp Detection Network With Gaussian-Based Grasp Representation for Robotic Manipulation

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IEEE/ASME Transactions on Mechatronics 28 (3) 1384 (2023)
https://doi.org/10.1109/TMECH.2022.3224314

Pixel-Wise Grasp Detection via Twin Deconvolution and Multi-Dimensional Attention

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IEEE Transactions on Circuits and Systems for Video Technology 33 (8) 4002 (2023)
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Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review

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Expert Systems with Applications 211 118624 (2023)
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Expert Systems with Applications 230 120545 (2023)
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Pixel-Reasoning-Based Robotics Fine Grasping for Novel Objects with Deep EDINet Structure

Chaoquan Shi, Chunxiao Miao, Xungao Zhong, Xunyu Zhong, Huosheng Hu and Qiang Liu
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https://doi.org/10.3390/s22114283

RANET: A Grasp Generative Residual Attention Network for Robotic Grasping Detection

Qian-Qian Hong, Liang Yang and Bi Zeng
International Journal of Control, Automation and Systems 20 (12) 3996 (2022)
https://doi.org/10.1007/s12555-021-0929-8

Lightweight Pixel-Wise Generative Robot Grasping Detection Based on RGB-D Dense Fusion

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IEEE Transactions on Instrumentation and Measurement 71 1 (2022)
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Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review

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Artificial Intelligence Review 54 (3) 1677 (2021)
https://doi.org/10.1007/s10462-020-09888-5