Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation-Reference-Cited by-同舟云学术

Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation

Published:2023-01 Issue:1 Volume:8 Page:137-144
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Jeon Myung-Hwan¹^ORCID,Kim Jeongyun²^ORCID,Ryu Jee-Hwan³^ORCID,Kim Ayoung²^ORCID

Affiliation:

1. Department of Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

2. Department of Mechanical Engineering, Seoul National University, Seoul, South Korea

3. Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

Funder

MOLIT, S. Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9963768/09954132.pdf?arnumber=9954132

Reference36 articles.

1. CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation

2. FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation

3. GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

4. Bop: Benchmark for 6D object pose estimation;hodan;Proc Eur Conf Comput Vis,0

5. SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings

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