ACAM-FoC: A Deep Neural Network Augmented From CAM-FoC to Measure the Grip Force of Mass-Produced Elongated Surgical Instruments-Reference-Cited by-同舟云学术

ACAM-FoC: A Deep Neural Network Augmented From CAM-FoC to Measure the Grip Force of Mass-Produced Elongated Surgical Instruments

Published:2023-09 Issue:9 Volume:8 Page:5368-5375
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Guo Yongchen¹^ORCID,Pan Bo¹^ORCID,Fu Yili¹^ORCID,Meng Max Q.-H.²^ORCID

Affiliation:

1. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China

2. Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

Foundation for the Innovative Research Groups

National Natural Science Foundation of China

Stake Key Laboratory of Robotics and Systems

Pioneering Soldier and Leading Goose Research and Development Program of Zhejiang Province

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/ielx7/7083369/10185095/10058160.pdf?arnumber=10058160

Reference29 articles.

1. Gaussian Process Regression for Sensorless Grip Force Estimation of Cable-Driven Elongated Surgical Instruments

2. Virtual-force-guided intraoperative ultrasound scanning with online lesion location prediction: A phantom study;niu;Int J Med Robot Comput Assist Surg,2022

3. A Novel Grip Force Cognition Scheme for Robot-Assisted Minimally Invasive Surgery

4. Conditions for reliable grip force and jaw angle estimation of da Vinci surgical tools

5. Magnetic resonance imaging and transrectal ultrasound prostate image segmentation based on improved level set for robotic prostate biopsy navigation

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