Hybrid Eye-in-Hand/Eye-to-Hand Image Based Visual Servoing for Soft Continuum Arms-Reference-Cited by-同舟云学术

Hybrid Eye-in-Hand/Eye-to-Hand Image Based Visual Servoing for Soft Continuum Arms

Published:2022-10 Issue:4 Volume:7 Page:11298-11305
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

AlBeladi Ali¹^ORCID,Ripperger Evan²,Hutchinson Seth³^ORCID,Krishnan Girish⁴^ORCID

Affiliation:

1. Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

2. Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Champaign, IL, USA

3. School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA

4. Industrial and Enterprise Systems Engineering, University of Illinois Urbana-Champaign, Champaign, IL, USA

Funder

NSF-USDA COALESCE

Jump Applied Research for Community Health

OSF HealthCare

University of Illinois at Urbana-Champaign

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/ielx7/7083369/9831196/09844234.pdf?arnumber=9844234

Reference36 articles.

1. A Toolbox for Easily Calibrating Omnidirectional Cameras

2. Design and Modeling of Soft Continuum Manipulators Using Parallel Asymmetric Combination of Fiber-Reinforced Elastomers

3. Visual Servoing from Spheres using a Spherical Projection Model

4. Visual servoing of an under-actuated dynamic rigid-body system: an image-based approach

5. VaLeNS: Design of a Novel Variable Length Nested Soft Arm

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