Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network-Reference-Cited by-同舟云学术

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Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network

Published:2020-10-24 Issue: Volume: Page:
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Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Kumra Sulabh,Joshi Shirin,Sahin Ferat

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09340777.pdf?arnumber=9340777

Cited by 148 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Information-Theoretic Exploration for Adaptive Robotic Grasping in Clutter Based on Real-Time Pixel-Level Grasp Detection;IEEE Transactions on Industrial Electronics;2024-03

2. Grasp Detection with Hierarchical Multi-Scale Feature Fusion and Inverted Shuffle Residual;Tsinghua Science and Technology;2024-02

3. Real-Time Grasp Detection Using Efficient Channel Attention;Lecture Notes in Electrical Engineering;2024

4. Improved GR-Convnet for Antipodal Robotic Grasping;Communications in Computer and Information Science;2024

5. Cooperative Grasp Detection using Convolutional Neural Network;Journal of Intelligent & Robotic Systems;2023-12-23

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