Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking-Reference-Cited by-同舟云学术

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Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking

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

Kleeberger Kilian¹,Landgraf Christian¹,Huber Marco F.¹

Affiliation:

1. Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Nobelstraße 12,Department Robot and Assistive Systems and Marco Huber is with the Center for Cyber Cognitive Intelligence (CCI),Stuttgart,Germany,70569

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8957008/8967518/08967594.pdf?arnumber=8967594

Cited by 65 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. IGN: Instance-Guided Net for 3-D Instance Segmentation in Cluttered Scenes via Monocular Depth Sensor;IEEE Sensors Journal;2024-08-01

2. Learning from Human Hand Demonstration for Wire Harness Grasping;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

3. DBPF: A Framework for Efficient and Robust Dynamic Bin-Picking;IEEE Robotics and Automation Letters;2024-06

4. Sim-to-real Object Pose Estimation for Random Bin Picking;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. The Grasp Reset Mechanism: An Automated Apparatus for Conducting Grasping Trials;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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