A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation-Reference-Cited by-同舟云学术

A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation

Published:2022-10 Issue:4 Volume:7 Page:9826-9833
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Jiang Jiaqi¹^ORCID,Cao Guanqun¹,Do Thanh-Toan²^ORCID,Luo Shan¹^ORCID

Affiliation:

1. smARTLab, Department of Computer Science, University of Liverpool, Liverpool, U.K.

2. Department of Data Science and AI, Monash University, Clayton, VIC, Australia

Funder

University of Liverpool, Liverpool, U.K.

China Scholarship Council Award

ViTac: Visual-Tactile Synergy

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/ielx7/7083369/9831196/09830881.pdf?arnumber=9830881

Reference28 articles.

1. Dex-Nerf: Using a neural radiance field to grasp transparent objects;ichnowski;Proc Conf Robot Learn,0

2. Deep Depth Completion of a Single RGB-D Image

3. RGB-D Local Implicit Function for Depth Completion of Transparent Objects

4. Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching

5. Learning of Tool Affordances for autonomous tool manipulation

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