Data-Driven Steering of Concentric Tube Robots in Unknown Environments via Dynamic Mode Decomposition-Reference-Cited by-同舟云学术

Data-Driven Steering of Concentric Tube Robots in Unknown Environments via Dynamic Mode Decomposition

Published:2023-02 Issue:2 Volume:8 Page:856-863
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Thamo Balint¹^ORCID,Hanley David¹^ORCID,Dhaliwal Kevin²,Khadem Mohsen¹^ORCID

Affiliation:

1. School of Informatics, University of Edinburgh, Edinburgh, U.K.

2. The Translational Healthcare Technologies Group in Centre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, U.K.

Funder

Medical Research 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/ielx7/7083369/9990971/09996548.pdf?arnumber=9996548

Reference31 articles.

1. Concentric Tube Robots: Rapid, Stable Path-Planning and Guidance for Surgical Use

2. Planning High-Quality Motions for Concentric Tube Robots in Point Clouds via Parallel Sampling and optimization

3. Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory

4. Soft Robot Control With a Learned Differentiable Model

5. A Two-Body Rigid/Flexible Model of Needle Steering Dynamics in Soft Tissue

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