Robot-Assisted Trans-Esophageal Ultrasound and the Virtual Admittance-Based Master-Slave Control Method Thereof

Author:

Xie Yiping1,Guo Jun2,Deng Zhaokun1,Hou Xilong3,Housden James4ORCID,Rhode Kawal4ORCID,Liu Hongbin5ORCID,Hou Zeng-Guang5ORCID,Wang Shuangyi5ORCID

Affiliation:

1. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

2. Hangtian Center Hospital, Beijing, China

3. Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong

4. School of Biomedical Engineering and Imaging Sciences, King's College London, London, U.K.

5. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

InnoHK program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Deep Reinforcement Learning Approach for Pre-Planning Problems in Robotic Intra-Operative Ultrasound: a Virtual Environment-Based Analysis;2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI);2023-11-07

2. A Comparison of Differential Kinematics and Machine Learning Approaches in Motion Planning for Intra-operative Cardiac Ultrasound Robots;2023 IEEE International Conference on Mechatronics and Automation (ICMA);2023-08-06

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