Robotic micro/nano manipulation
The first research interest is robotic micro/nano robotic manipulation and its applications in areas like bio-medical engineering, neural science, etc. The core research contents are to develop precision sensing and actuation technology in micro/nano scale, end-effectors, and the corresponding control methods. The second is to design and fabricate soft wearable sensors based on MEMS technology, soft-lithography and micro-printing. Potential applications of this kind of soft sensors can be found in medical robots, rehabilitation robots, augmented reality (AR), etc. The third is about acoustic holographics. Based on acoustic interference theory, we can achieve fully control of the acoustic field through high density phased-array. Research in this topic includes developing high density phased array device based on MEMS technology, which supports MHz acoustic frequency and millimeter level wavelength, and developing efficient acoustic filed manipulation/control method. We would explore the potentials of such advanced technology in robotics like for non-contact independent, fully spatial, multi-cells manipulation, 360° observation of micro or even nano particles, and high precision voxel displaying. The forth is human-robot interaction, which combines the robotics and artificial intelligence technology and has great application significance. Unlike traditional research in this area by manually setting/designing the reward function and finding the best policy by searching the policy space, we are going to investigate the visual and verbal guided robotic learning by demonstration.
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 robotic micro/nano manipulation, soft sensor, acoustic holographics, and human-robot interaction.
Song LIU, You-Fu Li and Xuewei Wang, “A Novel Dual-Probe based Micro-Grasping System Allowing Dexterous 3D Orientation Adjustment”, IEEE Transactions on Automation Science and Engineering, In Press.
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.
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.
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.
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.
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.
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.
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.
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.
Hai Liu, Song LIU (Co-first Author), and Eun Sok Kim, “Active Noise Cancellation with MEMS Resonant Microphone Array”, IEEE Journal of Microelectromechanical Systems (JMEMS), accepted.