左思洋
- 教师拼音名称：Zuo Siyang
- 性别：男
- 职称：教授
- 所属院系：机械工程学院
- 4667f1472ab024cc1fc0d002de0b2b7fa2a082c20459630a7c032a20585812f639061ccf7e2cec0359f2cc05bf5c0a19f9f240245ec423b5e4ca0c262af8ab04aedd3068c46df52a11d5dadecc64028d46365059317e5ced4e79a16e25b10d50a638d510f0cbbf05ac5a055f307e1be9ff8eb9b54ae5064d280f881456ab5627
-
· X. Zhang, X. Xu, S. Zuo*, A Novel Miniature Interventional Robot with Shape-sensing and Closed-loop Control for ERCP, IEEE/ASME Transactions on Mechatronics, 2026, DOI: 10.1109/TMECH.2026.3698855
-
· G. Feng, Y. Qu, Q. He, T. Yang, J. Cui, B. Wei, B. Chen, S. Zuo*, Toward Automatic GI Tract Intervention with a Novel Shape-aware Robotic Endoscope, IEEE Transactions on Industrial Electronics, 2026，DOI: 10.1109/TIE.2026.3684235
-
· J. Guo, S. Zuo*, A Novel FBG-based Sensing Array for Interaction Force Awareness During Colonoscopy, IEEE/ASME Transactions on Mechatronics, 2025, 30(6): 7798-7808
-
· Q. He, G. Feng, S. Bano, D. Stoyanov, S. Zuo*, MonoLoT: Self-Supervised Monocular Depth Estimation in Low-Texture Scenes for Automatic Robotic Endoscopy, IEEE Journal of Biomedical and Health Informatics, 2024, 28(10): 6078-6091.
-
· Z. Zhang, C. Zhang, S. Zuo*, A Novel Bioinspired Whisker Sensor for Gastrointestinal Endoscopy, IEEE/ASME Transactions on Mechatronics, 2024, 29(1): 636-646.
-
· T. Zhang, B. Chen, S. Zuo*, A Novel 3-DOF Force Sensing Microneedle with Integrated Fiber Bragg Grating for Microsurgery. IEEE Transactions on Industrial Electronics, 2022, 69(1): 940-949.
-
· H. Wang, Z. Chen, S. Zuo*, Flexible Manipulator with Low-Melting-Point Alloy Actuation and Variable Stiffness, Soft robotics, 2022, 9(3): 577–590.
-
· S. Zuo*, G.-Z. Yang, Endomicroscopy for computer and robot assisted intervention, IEEE Reviews in Biomedical Engineering, 2017, 10: 12-25.
-
· S. Zuo*, M. Hughes, G.-Z. Yang, Flexible robotic scanning device for intraoperative endomicroscopy in MIS, IEEE/ASME Transactions on Mechatronics, 2017, 22(4): 1728-1735.
-
· Z. Gao, X. Wang, Y. Yang, C. Mu, Q. Cai, W. Dang, S. Zuo, EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation , IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(9): 2755-2763.
