Adaptive Shape Servoing of Elastic Rods Using Parameterized Regression Features and Auto-Tuning Motion Controls-Reference-Cited by-同舟云学术

Adaptive Shape Servoing of Elastic Rods Using Parameterized Regression Features and Auto-Tuning Motion Controls

Published:2024-02 Issue:2 Volume:9 Page:1428-1435
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Qi Jiaming¹^ORCID,Ran Guangtao¹^ORCID,Wang Bohui²^ORCID,Liu Jian³^ORCID,Ma Wanyu⁴^ORCID,Zhou Peng⁵^ORCID,Navarro-Alarcon David⁴^ORCID

Affiliation:

1. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China

2. School of Cyber Science and Engineering, Xi'an Jiaotong University, Xi'an, China

3. School of Automation, Southeast University, Nanjing, China

4. Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong

5. Department of Computer Science, University of Hong Kong, Pok Fu Lam, Hong Kong

Funder

Research Grants Council of Hong Kong

China Postdoctoral 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

http://xplorestaging.ieee.org/ielx7/7083369/10360389/10373056.pdf?arnumber=10373056

Reference32 articles.

1. Global Model Learning for Large Deformation Control of Elastic Deformable Linear Objects: An Efficient and Adaptive Approach

2. Task-Oriented Grasping Position Selection in Deformable Object Manipulation

3. Model-free vision-based shaping of deformable plastic materials

4. Visual-Tactile Learning of Garment Unfolding for Robot-Assisted Dressing

5. Dual-Arm Mobile Manipulation Planning of a Long Deformable Object in Industrial Installation

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