Song Liu
Assistant Professor
Graduated School: Ph.D., Institute of Automation Chinese Academy of Sciences/City University of Hong Kong, China
Tel:021-20684435
Office:Room 2-402.I, SIST Building
Homepage:
Research Interests
Biography
Selected Publications

RESEARCH INTERESTS

  • Micro-Nano Robot

  • Cell Surgery

  • Soft/Cell Robot

  • Acoustic Actuation

  • MEMS

  • Robot Learning

The Advanced Micro-Nano Robot Lab (AMNR Lab), located at SIST 1D-208.A STAR Center, focuses on research regarding micro-nano robots. Our research interests not only cover the conventional micro-nano robotic manipulation, like material characterization and cell surgery, based on the latest piezo-driven nano robot motion stages, but also include micro-nano robot research based on the newly rising actuation technology. We are also enthusiastically applying our micro-nano robot technology to the fields of biomedical engineering, 4D printing, smart manufacturing, material science, etc. The lab is building up state-of-the-art research platforms, including High Precision Holographic Acoustic Field Generation System, 8-DOF Nano-robot Manipulation System, Cell/Hydrogel 3D Printing System, Small Animal Fluorescence Imaging Experimental Platform, MIMO Adaptive Noise Cancellation System, etc.

Finally, we DO NOT study AI. Instead, we use AI methods to solve our own research problems.


BIOGRAPHY

Dr. Song LIU, received his bachelor degree in Instrumentation and Measurement from Shandong University in 2007. He received his Ph.D degree in Control Theory and Control Engineering from Institute of Automation Chinese Academy of Sciences, Beijing, China, Ph.D degree in Robot Vision from City University of Hong Kong, Hong Kong, China, respectively in June 2017. From July 2017 to December 2018, he worked as a postdoctoral fellow in the Robot Vision Research Lab in City University of Hong Kong. From Jan. Afterwards, he served as a postdoctoral scholar in MEMS research group in University of Southern California, California, USA. He is now a tenure-track assistant professor in the School of Information Science and Technology in Shanghai Tech University.

His research interests include Micro-Nano Robot, Cell Surgery, Soft/Cell Robot, Acoustic Actuation, MEMS, Robot Learning and Control, and AI.



SELECTED PUBLICATIONS

Peer Reviewed Publications till Sep. 2021

  1. Yanyin Ma, Yonghua Xie, Wenjun Zhu, and Song Liu (Corresponding Author), “An Efficient Robot Assembly Skill Learning Framework based on Several Demonstrations”, IEEE Transactions on Automation Science and Engineering, Under Review.

  2. Chengxi Zhong, Yuyu Jia, David C. Jeong, Yao Guo, Song Liu (Corresponding Author), “AcousNet: A Deep Learning based Approach to Dynamic 3D Holographic Acoustic Field Generation from Phased Transducer Array”, IEEE International Conference on Robotics and Automation (ICRA 2022)/IEEE Robotics and Automation Letters, submitted.

  3. Yuyu Jia, Chengxi Zhong, Jiaqi Li, Mingyue Wang, Hai Liu, Lurui Zhao, Song Liu (Corresponding Author), “Focused Ultrasonic Transducer based on Phased Array Design with Electrically Tunable Focal Patterns”, IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2022), submitted.

  4. Song LIU (Corresponding Author), Yu-Yu Jia, You-Fu Li, Yao Guo, and Haojian Lu, “Insertion Control for Simultaneous Precision Assembly of Multiple Components”, IEEE International Conference on Robotics and Automation (ICRA 2021), May 30 – June 4, Xi’an China, 2021.

Publications Before 2020

Peer Reviewed First Author and Co-first Author Papers

  1. Hai Liu, Song LIU (Co-first Author), and Eun Sok Kim, “Active Noise Cancellation with MEMS Resonant Microphone Array”, Journal of Microelectromechanical Systems (JMEMS), vol. 29, no. 5, pp. 839-845, 2020.

  2. Song LIU, You-Fu Li and Xuewei Wang, “A Novel Dual-Probe based Micrograsping System Allowing Dexterous 3-D Orientation Adjustment”, IEEE Transactions on Automation Science and Engineering, Vol. 17, no. 4, pp. 2048-2062, 2020.

  3. Song LIU, You-Fu Li, and Dengpeng Xing, “Sensing and Control for Simultaneous Precision Peg-in-Hole Assembly of Multiple Objects”, IEEE Transactions on Automation Science and Engineering, vol. 17, no. 1, pp. 310-324, 2020.

  4. Song LIU, and You-Fu Li, “A High Precision Automatic Wire Wrapping Approach Based on Microscopic Vision and Force Information”, IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 161-170, 2020.

  5. Song LIU, Dengpeng Xing, You-Fu Li, Jianwei Zhang, and De Xu, “Robust Insertion Control for Precision Assembly with Passive Compliance Combining Vision and Force Information”, IEEE/ASME Transactions on Mechatronics, vol. 24, no. 5, pp. 1974-1985, 2019.

  6. Song LIU, and You-Fu Li, “Precision 3D Motion Tracking for Binocular Microscopic Vision System”, IEEE Transactions on Industrial Electronics, vol. 64, no. 12, pp. 9339-9349, 2019.

  7. Song LIU, You-Fu Li, De Xu, Dengpeng Xing and Hu Su, “An Efficient Insertion Control Method for Precision Assembly of Cylindrical Components”, IEEE Transactions on Industrial Electronics, vol. 64, no. 12, pp. 9355-9365, 2017.

  8. Song LIU, De Xu, You-Fu Li and Fei Shen, “Nano Liter Fluid Dispensing Based on Microscopic Vision and Laser Range Sensor”, IEEE Transactions on Industrial Electronics, vol. 64, no. 2, pp. 1292-1302, 2017.

  9. Song LIU, De Xu, Fangfang Liu, Dapeng Zhang and Zhengtao Zhang, “Relative Pose Estimation for Alignment of Long Cylindrical Components Based on Microscopic Vision”, IEEE/ASME Transactions on Mechatronics, vol. 21, no. 3, pp. 1388-1398, 2016.

  10. Song LIU, De Xu, Dapeng Zhang and Zhengtao Zhang, “High Precision Automatic Assembly Based on Microscopic Vision and Force Information”, IEEE Transactions on Automation Science and Engineering, vol. 13, no. 1, pp. 382–393, 2016.

  11. Song LIU, De Xu, Dapeng Zhang and Zhengtao Zhang, “Fast and Accurate Circle Detection Algorithm for Porous Components”, International Journal of Electrical Engineering and Electronic Technology, 3:1, 2014.

  12. Yongkui Tang, Song LIU (Co-first Author), and Eun Sok Kim, “MEMS Focused Ultrasonic Transducer with Air-Cavity Lens Based on Polydimethylsiloxane (PDMS) Membrane”, IEEE International Conference on Micro Electro Mechanical Systems (MEMS), Vancouver, Canada, Jan. 2020 (Oral Presentation 66 oral/274 post).

  13. Song LIU, De Xu, and You-Fu Li, “Relative Pose Estimation for Micro-components Based on Multi-microscopic Vision”, the IEEE International Conference on Real-time Computing and Robotics, June, 26-29, 2015, Chang Sha, China (Invited Speaker).

Peer Reviewed Co-author Papers

  1. DengpengXing Fangfang Liu, Song LIU and De Xu, “Motion Control for Cylindrical Objects in Microscope's View Using a Projection Method: II. Collision Avoidance with Reduced Dimensional Guidance”, IEEE Transactions on Industrial Electronics, vol. 64, no. 7, pp. 5534-5544, 2017.

  2. DengpengXing Fangfang Liu, Song LIU and De Xu, “Motion Control for Cylindrical Objects in Microscope's View Using a Projection Method: I. Collision Detection and Detach Control”, IEEE Transactions on Industrial Electronics, vol. 64, no. 7, pp. 5524-5533, 2017.

  3. DengpengXing Fangfang Liu, Song LIU and De Xu, “Efficient Insertion of Partial Flexible Object in Precision Assembly”, IEEE Transactions on Automation Science and Engineering, vol.16, no. 2, pp. 706-715, 2019.

  4. DengpengXing Fangfang Liu, Song LIU and De Xu, “Collision Detection and Detach Control for Convex Prisms in Precision Alignment Using a Projection Method”, IEEE Transactions on Industrial Informatics, vol. 64, no. 12, pp. 5316-5326, 2018.

  5. Dapeng Zhang, Zhengtao Zhang, Qun Gao, De Xu and Song LIU, “Development of A Monolithic Compliant SPCA-Driven Micro-Gripper”, Mechatronics, Vol. 25, pp. 37-43, 2015.

  6. Hai Liu, Song LIU, Anton A. Shkel, Yongkui Tang, and Eun Sok Kim, “MEMS Resonant Microphone Array for Lung Sound Classification”, IEEE International Electron Devices Meeting, San Francisco, USA, Dec. 2019.

  7. Hai Liu, Song LIU, and Eun Sok Kim, “Multi-band MEMS Resonant Microphone Array for Continuous Lung-Sound Monitoring and Classification”, IEEE International Conference on Micro Electro Mechanical Systems (MEMS), Vancouver, Canada, Jan. 2020.