Visual Manipulation Relationship Detection with Fully Connected CRFs for Autonomous Robotic Grasp-Reference-Cited by-同舟云学术

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Visual Manipulation Relationship Detection with Fully Connected CRFs for Autonomous Robotic Grasp

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)
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Author:

Yang Chenjie,Lan Xuguang,Zhang Hanbo,Zhou Xinwen,Zheng Nanning

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8653250/8664715/08665225.pdf?arnumber=8665225

Cited by 5 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. Gated Self Attention Network for Efficient Grasping of Target Objects in Stacked Scenarios;2024 IEEE International Conference on Real-time Computing and Robotics (RCAR);2024-06-24

2. Grasp Manipulation Relationship Detection based on Graph Sample and Aggregation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Prioritized Planning for Target-Oriented Manipulation via Hierarchical Stacking Relationship Prediction;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Visual Manipulation Relationship Detection based on Gated Graph Neural Network for Robotic Grasping;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23

5. Probabilistic Representation of Objects and Their Support Relations;Experimental Robotics;2021

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