Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language-Reference-Cited by-同舟云学术

Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language

Published:2022-04 Issue:2 Volume:7 Page:4582-4589
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Zhang Haodong¹^ORCID,Li Weijie¹,Liu Jiangpin¹,Chen Zexi¹^ORCID,Cui Yuxiang¹,Wang Yue¹^ORCID,Xiong Rong¹^ORCID

Affiliation:

1. State Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

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/ielx7/7083369/9647862/09714016.pdf?arnumber=9714016

Reference27 articles.

1. C-3PO: Cyclic-Three-Phase Optimization for Human-Robot Motion Retargeting based on Reinforcement Learning

2. Nonparametric Motion Retargeting for Humanoid Robots on Shared Latent Space

3. Robot Learning from Demonstration in Robotic Assembly: A Survey

4. Learning Soft Robotic Assembly Strategies from Successful and Failed Demonstrations

5. MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities

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3. Signs of Language: Embodied Sign Language Fingerspelling Acquisition from Demonstrations for Human-Robot Interaction;2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2023-08-28

4. Robust real-time upper limb motion transfer from human to humanoid for manipulation skill teaching;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2023-07-06

5. AI based Two Way Sign Language System;2023 Second International Conference on Electronics and Renewable Systems (ICEARS);2023-03-02