Category-level Shape Estimation for Densely Cluttered Objects-Reference-Cited by-同舟云学术

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Category-level Shape Estimation for Densely Cluttered Objects

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Wu Zhenyu¹,Wang Ziwei²,Lu Jiwen²,Yan Haibin¹

Affiliation:

1. School of Automation, Beijing University of Posts and Telecommunications,Beijing,China,100084

2. Tsinghua University, and Beijing National Research Center for Information Science and Technology (BNRist),Department of Automation,Beijing,China,100084

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161221.pdf?arnumber=10161221

Reference42 articles.

1. Robotic Pick-and-Place With Uncertain Object Instance Segmentation and Shape Completion

2. Learning rgb-d feature embeddings for unseen object instance segmentation;xiang;ArXiv Preprint,2020

3. PPR-Net:Point-wise Pose Regression Network for Instance Segmentation and 6D Pose Estimation in Bin-picking Scenarios

4. Smart Explorer: Recognizing Objects in Dense Clutter via Interactive Exploration

5. Screened poisson surface reconstruction

Cited by 1 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. AE-Reorient: Active Exploration Based Reorientation for Robotic Pick-and-Place;Lecture Notes in Computer Science;2023

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