Learning Based Robotic Bin-picking for Potentially Tangled Objects-Reference-Cited by-同舟云学术

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Learning Based Robotic Bin-picking for Potentially Tangled Objects

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Matsumura Ryo,Domae Yukiyasu,Wan Weiwei,Harada Kensuke

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8957008/8967518/08968295.pdf?arnumber=8968295

Cited by 31 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. A closed-loop bin picking system for entangled wire harnesses using bimanual and dynamic manipulation;Robotics and Computer-Integrated Manufacturing;2024-04

2. GAM: General affordance-based manipulation for contact-rich object disentangling tasks;Neurocomputing;2024-04

3. A Novel Robotic Grasp Detection Framework Using Low-Cost RGB-D Camera for Industrial Bin Picking;IEEE Transactions on Instrumentation and Measurement;2024

4. Industrial Bin Picking of Potential Entangled Objects in Dense Clutter by Skeletonized Shape Restoration;Springer Proceedings in Advanced Robotics;2024

5. Learning to Dexterously Pick or Separate Tangled-Prone Objects for Industrial Bin Picking;IEEE Robotics and Automation Letters;2023-08

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