PPN-Pack: Placement Proposal Network for Efficient Robotic Bin Packing-Reference-Cited by-同舟云学术

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PPN-Pack: Placement Proposal Network for Efficient Robotic Bin Packing

Published:2024-06 Issue:6 Volume:9 Page:5086-5093
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Pan Jia-Hui¹^ORCID,Gao Xiaojie¹^ORCID,Hui Ka-Hei¹^ORCID,Zhu Shize²^ORCID,Liu Yun-Hui³^ORCID,Heng Pheng-Ann¹^ORCID,Fu Chi-Wing¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong

2. Hong Kong Centre for Logistics Robotics, Hong Kong

3. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong

Funder

Shenzhen Portion of Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone

InnoHK of the Government of Hong Kong via the Hong Kong Centre for Logistics Robotics

CUHK T Stone Robotics Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10504377/10493124.pdf?arnumber=10493124

Reference34 articles.

1. Learning Physically Realizable Skills for Online Packing of General 3D Shapes

2. TAP-Net

3. Dense, Interlocking-Free and Scalable Spectral Packing of Generic 3D Objects

4. Learning Based 2D Irregular Shape Packing

5. Learning to Pack

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