Deep Learning-Based 3D Pose Reconstruction of an Underwater Soft Robotic Hand and Its Biomimetic Evaluation-Reference-Cited by-同舟云学术

Deep Learning-Based 3D Pose Reconstruction of an Underwater Soft Robotic Hand and Its Biomimetic Evaluation

Published:2022-10 Issue:4 Volume:7 Page:11070-11077
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Wang Haihang¹^ORCID,Xu He¹^ORCID,Meng Yihan¹,Ge Xinlei²,Lin Aijing²^ORCID,Gao Xiao-Zhi³

Affiliation:

1. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China

2. School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, China

3. School of Computing, University of Eastern Finland, Kuopio, Finland

Funder

National Natural Science Foundation of China

Natural Science Joint Guidance Foundation of the Heilongjiang Province of China

China Scholarship Council

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/ielx7/7083369/9831196/09854130.pdf?arnumber=9854130

Reference22 articles.

1. Ultragentle manipulation of delicate structures using a soft robotic gripper

2. Soft Robotic Grippers for Biological Sampling on Deep Reefs

3. Modular Origami Soft Robot with the Perception of Interaction Force and Body Configuration

4. Quantifying Dynamic Shapes in Soft Morphologies

5. Skeletonizing the Dynamics of Soft Continuum Body from Video

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