Learning Affordance Segmentation for Real-World Robotic Manipulation via Synthetic Images-Reference-Cited by-同舟云学术

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Learning Affordance Segmentation for Real-World Robotic Manipulation via Synthetic Images

Published:2019-04 Issue:2 Volume:4 Page:1140-1147
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Chu Fu-Jen^ORCID,Xu Ruinian^ORCID,Vela Patricio A.^ORCID

Funder

National Science Foundation

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

https://ieeexplore.ieee.org/ielaam/7083369/8581687/8620534-aam.pdf

Cited by 34 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. Affordance-informed Robotic Manipulation via Intelligent Action Library;Journal of Physics: Conference Series;2024-08-01

2. Transferring Method of Assembly Motion Parameters from Human to Robot Based on Physicality Gap;Journal of the Japan Society for Precision Engineering;2024-07-05

3. Real-time human action recognition from aerial videos using autozoom and synthetic data;Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II;2024-06-07

4. Multimodal Attention-Based Instruction-Following Part-Level Affordance Grounding;Applied Sciences;2024-05-29

5. A Survey of Synthetic Data Augmentation Methods in Machine Vision;Machine Intelligence Research;2024-03-20

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