TIODT: Touch-free Intuitive Operation Digital Twin Platform for Minimally Invasive Surgical Robot-Reference-Cited by-同舟云学术

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TIODT: Touch-free Intuitive Operation Digital Twin Platform for Minimally Invasive Surgical Robot

Published:2024-06-24 Issue: Volume:20 Page:50-55
ISSN:
Container-title:2024 IEEE International Conference on Real-time Computing and Robotics (RCAR)
language:
Short-container-title:

Author:

Xie Dongsheng¹,Diao Jinpeng²,Fang Fengxinyun²,Wang Yang³,Li Changsheng²,Duan Xingguang¹

Affiliation:

1. Beijing Insititute of Technology,School of Medical Technology,Beijing,China,100081

2. Beijing Institute of Technology,School of Mechatronical Engineering,Beijing,China,100081

3. Capital Medical University,Beijing Chao-Yang Hospital,Beijing,China,100020

Funder

National Key Research and Development Program of China

Beijing Municipal Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10670697/10670719/10670962.pdf?arnumber=10670962

Reference25 articles.

1. AR-assisted digital twin-enabled robot collaborative manufacturing system with human-in-the-loop

2. Towards next generation digital twin in robotics: Trends, scopes, challenges, and future

3. Prototyping a Digital Twin for Real Time Remote Control Over Mobile Networks: Application of Remote Surgery

4. Lapkaans: Tool-motion tracking and gripping force-sensing modular smart laparoscopic training system;Olivas-Alanis,2020

5. A Digital Twin Approach for Contextual Assistance for Surgeons During Surgical Robotics Training

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