Domain-Generalized Robotic Picking via Contrastive Learning-Based 6-D Pose Estimation-Reference-Cited by-同舟云学术

Domain-Generalized Robotic Picking via Contrastive Learning-Based 6-D Pose Estimation

Published:2024-06 Issue:6 Volume:20 Page:8650-8661
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Liu Jian¹^ORCID,Sun Wei¹^ORCID,Yang Hui²^ORCID,Liu Chongpei²^ORCID,Zhang Xing²^ORCID,Mian Ajmal³^ORCID

Affiliation:

1. College of Electrical and Information Engineering, Hunan University, Changsha, China

2. College of Electrical and Information Engineering and the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, China

3. Department of Computer Science, University of Western Australia, Crawley, WA, Australia

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Foundation

China Scholarship Council

State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Open Foundation

Australian Research Council Future Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10550081/10475688.pdf?arnumber=10475688

Reference34 articles.

1. Robotic Continuous Grasping System by Shape Transformer-Guided Multiobject Category-Level 6-D Pose Estimation

2. Visual-Guided Robotic Object Grasping Using Dual Neural Network Controllers

3. A Task-Driven Scene-Aware LiDAR Point Cloud Coding Framework for Autonomous Vehicles

4. kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation

5. Grasping in the Wild: Learning 6DoF Closed-Loop Grasping From Low-Cost Demonstrations

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. Multi-View Metal Parts Pose Estimation Based on a Single Camera;Sensors;2024-05-25