Graspability-Aware Object Pose Estimation in Cluttered Scenes-Reference-Cited by-同舟云学术

Graspability-Aware Object Pose Estimation in Cluttered Scenes

Published:2024-04 Issue:4 Volume:9 Page:3124-3130
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Hoang Dinh-Cuong¹^ORCID,Nguyen Anh-Nhat¹^ORCID,Vu Van-Duc¹^ORCID,Nguyen Thu-Uyen¹^ORCID,Vu Duy-Quang¹^ORCID,Ngo Phuc-Quan¹^ORCID,Hoang Ngoc-Anh¹^ORCID,Phan Khanh-Toan¹^ORCID,Tran Duc-Thanh¹^ORCID,Nguyen Van-Thiep¹^ORCID,Duong Quang-Tri¹^ORCID,Ho Ngoc-Trung¹^ORCID,Tran Cong-Trinh¹^ORCID,Duong Van-Hiep¹^ORCID,Mai Anh-Truong¹^ORCID

Affiliation:

1. IT Department, FPT University, Hanoi, Vietnam

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10440130/10430220.pdf?arnumber=10430220

Reference31 articles.

1. GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping

2. Context-Aware Grasp Generation in Cluttered Scenes

3. Grasp Configuration Synthesis from 3D Point Clouds with Attention Mechanism

4. Real-Time Collision-Free Grasp Pose Detection With Geometry-Aware Refinement Using High-Resolution Volume

5. Deep Learning Approaches to Grasp Synthesis: A Review

Cited by 5 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. Object Pose Estimation Using Color Images and Predicted Depth Maps;IEEE Access;2024

2. A Unified Framework for Depth-Assisted Monocular Object Pose Estimation;IEEE Access;2024

3. Efficient Multimodal Fusion for Hand Pose Estimation With Hourglass Network;IEEE Access;2024

4. Attention-Based Grasp Detection With Monocular Depth Estimation;IEEE Access;2024

5. Grasping With Occlusion-Aware Ally Method in Complex Scenes;IEEE Transactions on Automation Science and Engineering;2024