Dai Yu

Yu Dai 

Name: Yu Dai

Sex: Male

Department: Institute of Robotics and Automatic Information System

Administrative duties:

Title: Professor

Education: Ph.D.

Major: Control Science and Engineering

Office Phone:

Email: daiyu@nankai.edu.cn



Personal profile
Achievements
Writing papers
Lecture course
Social Appointments

[Personal profile]

Professor

Institute of Robotics and Automatic Information System, Nankai University, Tianjin City, China       01/2021-present

Visiting scholar

Laboratory for Computational Sensing and Robotics, Johns Hopkins University,Baltimore, Maryland, USA

08/2018-08/2019

Associate Professor

Institute of Robotics and Automatic Information System, Nankai University, Tianjin City, China       01/2015-12/2020

Assistant Professor

Institute of Robotics and Automatic Information System, Nankai University, Tianjin City, China       07/2009-12/2014

Doctoral candidate

Department of Automatic Measurement and Control, Harbin Institute of Technology, Heilongjiang Province, China

       09/2004-07/2009

Postgraduate student

Department of Automatic Measurement and Control, Harbin Institute of Technology, Heilongjiang Province, China

       09/2002-07/2004

Undergraduate student

Department of Automatic Measurement and Control, Harbin Institute of Technology, Heilongjiang Province, China

       09/1998-07/2002



[Achievements]

Main Research Projects:

Bio-inspired surgical field recognition based on robot's tactile and auditory ability during cutting operation of spine surgery      

01/2018-12/2021

National Natural Science Foundation of China (Grant No. 61773223)

Design and Product Development of Multi-port Laparoscopic Surgery Robot        07/2017-12/2020

National Key R&D Program of China (grant No. 2017YFC0110402)

Accurate Drilling and Milling State Identification of Orthopedic Surgical Robot Based on Non-contact Tissue Vibration Measurement      

01/2015-12/2017

National Natural Science Foundation of China (Grant No. 61403212)

Drilling and Milling Process Real-Time Monitoring of Orthopedic Surgical Robot Based on Bioelectrical Impedance            05/2014-04/2017

Application Foundation and Advanced Technology Research Program of Tianjin (Grant No. 14JCQNJC04600)

Tissue Discrimination Based on Noninvasive Electrical Impedance Measurement during Laparoscopic Surgery        01/2014-12/2014

National Natural Science Foundation of China (Grant No. 81371644)

Research and Development of Advanced Therapy Equipment Including Imaging Navigation System and Surgical Robot       01/2012-12/2015

Key Projects in the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period (Grant No. 2012BAI14B00)

Research of Minimally Invasive Surgery Robot       06/2009-03/2012

National High Technology Research and Development Program of China (Grant No. 2009AA044001)

Patents

China Patent 201410574026.7 Dai Y., Y. Xue, and J. Zhang Semi-Rigid Intelligent Arm of Surgical Robot Developed for Drilling and Milling Condition Monitoring

China Patent 201410205596.9 Dai Y., Y. Xue, and J. Zhang Operation Power Device Developed for Real Time Recording Bioelectrical Impedance

China Patent 201310470920.5 Dai Y., J. Du, Q Yang and J. Zhang Minimal Invasive Surgery Instrument Used to Noninvasively Measure Force and Electrical Impedance

China Patent 201110123095.2 Dai Y., J. Zhang, S. Wang, J. li and C. He 3D Force Sensor Developed for Minimal Invasive Surgery Robot

China Patent 201110366538.0 Huang, D., Y. Dai, J. Zhang and B. Li Auto-Stereoscopic Video Display with Follow-up Lighting



[Writing papers]

Journal Articles:

[1] Dai, Y., X. Yuan, and J. Zhang, Milling state identification based on vibration sense of a robotic surgical system. IEEE Transactions on Industrial Electronics, 2016, 23(10): 6184-6193.

[2] Dai, Y., Y Xue, and J Zhang, A continuous wavelet transform approach for harmonic parameters estimation in the presence of impulsive noise. Journal of Sound and Vibration. 2016, 360: 300-314.

[3] Dai, Y., Y. Xue, and J X Zhang, Bone milling condition monitoring based on sound signal processing. Journal of Vibration and Shock, 2015. 34(22): 19-23. (in Chinese)

[4] Dai Y., Du J, Yang Q, Zhang J X. Development of a noninvasive electrical impedance probe for minimally invasive tumor localization. Physiological Measurement. 2015, 36(9): 1785-1799.

[5] Dai Y., Xue Y, Zhang J. Vibration-Based Milling Condition Monitoring in Robot-Assisted Spine Surgery. IEEE/ASME Transactions on Mechatronics. 2015, 20(6): 3028-3039.

[6] Dai Y., Xue Y, Zhang J X. Drilling Electrode for Real-Time Measurement of Electrical Impedance in Bone Tissues. Annals of Biomedical Engineering, 2014, 42(3): 579-588.

[7] Dai Y., Xue Y, Zhang J X. Noncontact Vibration Measurement Based Thoracic Spine Condition Monitoring During Pedicle Drilling. IEEE/ASME Transactions on Mechatronics, 2014, 19(5): 1532-1540.

[8] Dai Y., Du J, Yang Q, Zhang J X. Noninvasive Electrical Impedance Sensor for In Vivo Tissue Discrimination at Radio Frequencies. Bioelectromagnetics, 2014, 35(6): 385-395.

[9] Dai Y., Zhang J X, Xue Y. Use of wavelet energy for spinal cord vibration analysis during spinal surgery. International Journal of Medical Robotics and Computer Assisted Surgery, 2013, 9(4): 433-440.

[10] Dai Y., Yang Q, Zhang J X, Du J. An Artificial Neural Network Approach to the Predictive Modeling of Tensile Force during Renal Suturing. Annals of Biomedical Engineering, 2013, 41(4): 786-794.

[11] Dai Y., Zhang J X. Dispersion compensation for an ultrathin metal film using LCD-CCD system. Chinese Physics B, 2012, 21(10): 104203.

[12] Dai Y., Zhang J-X. Identification of modal parameters based on wavelet transform and back propagation network. Journal of Vibration and Shock, 2012, 31(3): 55-59. (in Chinese)

[13] Dai Y., Zhang J X. Stereoscopic visualization based on splitting of two-way polarized image beams. Acta Physica Sinica, 2011, 60(8): 084205. (in Chinese)

[14] Dai Y., Zhang J X. Reduction of 1/f noise in semiconductor devices based on wavelet transform and Wiener filter. Acta Physica Sinica, 2011, 60(11): 110516. (in Chinese)

[15] Dai Y., Sun H Y, Li H P, Tang W Y. Identification of weak nonlinearities in damping and stiffness based on wavelet transform. Journal of Vibration and Shock, 2009, 28(2): 51-55. (in Chinese)

[16] Dai Y., Sun H Y, Li H P, Tang W Y. Natural frequencies and damping estimation based on continuous wavelet transform. Journal of Harbin Institute of Technology (New Series), 2008, 15(6): 794-800. (in Chinese)

[17] Dai Y., Ma Q, Tang W Y. Efficient wavelet ridge extraction method for asymptotic signal analysis. Review of Scientific Instruments, 2008, 79(12): 124703.

Conference Papers:

[1] Dai Y., Y. Xue, J. Zhang and J. Li, Biologically-Inspired Auditory Perception during Robotic Bone Milling, in Robotics and Automation (ICRA), 2017 IEEE International Conference on, 2017, pp. 1112-1116.

[2] Dai Y., Y. Xue and J. Zhang. Estimation of tool position based on vibration sense during robotic bone milling. In 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2016, pp. 57-61.

[3] Dai Y., Y. Xue, J. Zhang, and L. Zhou, Burr wear detection based on vibration sense during surgical milling, in 2016 35th Chinese Control Conference (CCC), 2016, pp. 6307-6310.

[4] Dai Y., Y. Xue and J. Zhang. State Identification Based on Sound Analysis During Surgical Milling Process. In 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2015, pp. 1666-1669.

[5] Dai Y., Y. Xue, and J. Zhang, Tissue discrimination based on vibratory sense in robot-assisted spine surgery, in Robotics and Automation (ICRA), 2015 IEEE International Conference on, 2015, pp. 4717-4722.

[6] Dai Y., Y. Xue, and J. Zhang, Wavelet based harmonic parameter estimation in non-Gaussian impulsive noise environments, in 34th Chinese Control Conference (CCC), 2015, pp. 4512-4516.

[7] Dai Y., Xue Y, Zhang J. Condition monitoring based on sound feature extraction during bone drilling process. Proceedings of the 33rd Chinese Control Conference (CCC), 2014, pp. 7317-7322.

[8] Dai Y., Zhang J. Continuous wavelet transform-based estimation of modal parameters with scale selection. IEEE International Conference on Mechatronics and Automation (ICMA), 2012, pp. 1445-1450.


[Lecture course]

Electric Circuits              Undergraduate

Fundamentals of Cognitive Science              Undergraduate

Optimal Estimation Theory              Graduate


[Social Appointments]

IEEE member