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Address: Room 606, Ocean Building

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  • 个人简历
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  • 研究领域
  • 研究成果
  • 奖励荣誉
  • Biography

    Facing the national strategic goal of Maritime Power and Shenzhen's 20+8 industrial clusters, to realize the goal of intelligent ocean cruising and detection, Tsinghua Ocean Soft Robotics and Intelligent Sensing Team mainly carries out the research on ocean soft robots and intelligent underwater manipulation tasks.


    The team leader, Juntian Qu, born in 1990, is an assistant professor and PhD supervisor at the Institute of Ocean Engineering, Shenzhen International Graduate School, Tsinghua University.He has published more than 40 high level SCI/EI papers (26 first author/corresponding author) in the international flagship SCI journals (Advanced Functional Materials, Advanced Intelligent Systems, Nano Energy, Applied Materials Today, IEEE T-IE, T-MECH, T-ASE, Nanoscale, etc., JCR Q1) andtop international robotic conferences (ICRA, IROS).He has been authorized 6 patents and published 10 patents as first author, and has written 2 books in English and Chinese. He is the PIs of over more than 10 national/provincial/ministerial projects, including the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province, the Shenzhen Pengcheng Peacock Plan, the sub-projects of Hunan Provincial Key Research and Development Program,and the China Postdoctoral Foundation, etc., and has been co-PIs of more than 10 national projects, including the Natural Science Foundation of China/Canada, etc.He is the session chair of IEEE International Conference on Automation Science and Engineering, Keynote Speaker of World Nano Congress, and the youth editorial board member, guest editor and reviewer of several SCI journals.


    Candidates majoring in Robotics, Mechanical Engineering, Automation, Instrument Science and Technology, Ocean Engineering and Technology and other related fields are welcome to apply.


    Sep. 2014 - Oct. 2019, Ph.D. in Mechanical Engineering, McGill University, Canada

    Sep. 2012 - Aug. 2014, M.Eng. in Control Theory and Engineering, Northeastern University, China

    Sep. 2008 - Aug. 2012, B.Eng. in Automation, Northeastern University, China

    Professional Experience

    Apr. 2022 - present, Assistant Professor, Tsinghua Shenzhen International Graduate School, China

    Nov. 2019 - Mar. 2022, Postdoctoral Research Fellow (Shuimu Scholar), Tsinghua University, China

    Sept. 2017 - Sept. 2019, Research Assistant, University of Toronto, Canada

    Additional Positions

    SCI Journal Guest Editor:Sensors, Magnetochemistry

    Youth editor of Nanotechnology and Precision Engineering (SCI Journal)

    Youth editor of Cyborg and Bionic Systems (Science Partner Journal)

    Session Chair of IEEE International Conference on Automation Science and Engineering (CASE)

    Keynote Speaker of the World Nano Congress

    Vice Chairman of the Book Editorial Board, Encyclopedia of Marine Science (Shanghai Jiao Tong University Press)

    Member of the International Society of Bionic Engineering Youth Committee (ISBE)

    Senior member of Chinese Mechanical Engineering Society (CMES)

    Senior member of Chinese Society of Micro-Nano Technology (CSMNT)

    Member of IEEE, ASME, CSME, Chinese Institute of Electronics

    Chief consultant of Talent Linked Information Technology Co., Ltd.

    Reviewer of SCI Journals: Engineering, IEEE/ASME Transactions on Mechatronics (T-MECH), IEEE Transactions on Automation Science and Engineering (T-ASE), IEEE Robotics and Automation Letters (R-AL), Journal of Micromechanics and Microengineering (JMM)


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  • Current Courses

    Technology and Application of Underwater Soft Robot (Course number: 85991212)

    Modern Sensor Technology (Course number: 80130162)

    Frontiers and Instruments of Ocean Observation Technology (Course Number: 80460302)

    Microsensors (Course number:86000122)

    Master’s & Ph.D. Advising

  • Research Interests

    Tsinghua Ocean Soft Robot and Intelligent Sensing Lab mainly carries out research on ocean soft robots and underwater soft manipulators, to achieve goals and tasks of intelligent cruising, detection and manipulation in the ocean.

    1. Underwater Soft Robot

    Soft Robotics is ranked the top position among the twelve frontier technologies in robotics.Our mission is to design a miniaturized, lightweight, wireless, controllable, and intelligent underwater soft robot, including following research interests:

           Modeling, design and optimization of biomimetic soft structure for underwater soft robots.

           R&D of intelligent visual system for soft underwater robot (based on image enhancement and deep learning).

           Design and implementation of actuating & sensing system for soft underwater robot.

           Multi-scenarios and multi-function demonstration of amphibious soft robot, miniature magnetic soft robot.


    2. Underwater Soft Manipulator

    Compared with the traditional rigid manipulator, the underwater soft manipulator has the advantages of strong adaptability, good compatibility, safe interaction, etc. It is more suitable for adaptive non-destructive grasping of underwater organisms, seabed sampling and salvage, etc.The research interests include:

            Flexible underwater manipulator with variable stiffness based on intelligent magnetic fluid materials.

             Multi-mode rigid-flexible coupled underwater soft manipulator.

             Underwater intelligent grasping based on vision-tactile fusion technology.

            Underwater flexible robotic arm based on deep learning.


    3. Underwater intelligent sensing technology

    Reliable intelligent perception is necessary for the exploration in complicated underwater environment. For safe and precise manipulation tasks with intelligent, reliable and safe interaction capabilities, the main research focus in this field is as follows:

            Underwater intelligent perception technology based on Triboelectric Nanogenerator (TENG).

            Underwater intelligent perception technology based on Fibber Bragg Gratting (FBG).

             Underwater intelligent perception technology based on vision-tactile fusion sensing.


    1. Youth Fund of the National Natural Science Foundation of China (NSFC), 01/2022-12/2024, CNY 300,000, Principal Investigator.


    2. Guangdong Provincial Basic and Applied Basic Research Fund, 10/2022-09/2025, CNY 300,000, Principal Investigator.


    3. Tsinghua Shenzhen International Graduate School - Overseas Research Cooperation Fund, 07/2023-06/2026, CNY 400,000, Principal Investigator.


    4. Tsinghua University Shenzhen International Graduate School - Cross Research and Innovation Fund, 01/2023-12/2025, CNY 500,000, Principal Investigator.


    5. Tsinghua Shenzhen International Graduate School - Start-up Research Fund, 05/2022-04/2025, CNY 3,000,000, Principal Investigator.


    6. General Program of National Natural Science Foundation of China,Core Participant.


    7. Hunan Provincial Key R&D Program, 01/2019-12/2021, CNY 800,000, Sub-Project Leader.

    8. Open Fund of Jiangsu Key Laboratory of Advanced Manufacturing Equipment & Technology, 12/2021-12/2022, CNY 20,000, Principal Investigator.


    9. China Postdoctoral Science Foundation, 07/2020-03/2022, CNY 80,000, Principal Investigator.


    10. International Postdoctoral Exchange Fellowship Program (Talent-Introduction Program), 11/2019-11/2021, CNY 600,000, Principal Investigator.

    Research Output

  • Selected Publications

    [1] J. Qu*, Y Xu, Z Li, Z Yu, B Mao, Y Wang, Q Fan, X Qian, M Zhang, M Xu, B Liang, H Liu, X Wang, X Wang, T Li. “Recent Advances on Underwater Soft Robots,” Advanced Intelligent Systems, 2023. (JCR Q1, IF: 7.3)

    [2] Juntian Qu*, Baijin Mao, Zhenkun Li, Yining Xu, Kunyu Zhou, Xiangyu Cao, Qigao Fan, Minyi Xu, Bin Liang, Houde Liu, Xueqian Wang, and Xiaohao Wang, “Recent Progress in Advanced Tactile Sensing Technologies for Soft Grippers,” Advanced Functional Materials, 2023. (JCR Q1IF: 19.0)


    [3] Zhenkun Li*, Jiaohao Dong, Shengjie Zhang, Yanwen Li, Chengyao Deng, Decai Li, Hongchao Cui, Zhanxian Li, Zhongru Song, Jie Yao, Juntian Qu*, Phase transition reversible 3D printing of magnetic thixotropic fluid,Applied Materials Today, 2023. (JCR Q1, IF: 8.3)

    [4] J. Qu, Q. Yuan, Z. Li, et al., All-in-one Strain-triboelectric Sensors Based on Environment-friendly Ionic Hydrogel for Wearable Sensing and Underwater Soft Robotic Grasping, Nano Energy, vol. 111, pp. 108387, 2023. (JCR Q1IF: 17.6)

    [5] J. Qu, R. Wang, P. Pan, L. Du, Y. Sun and X. Liu*, Optically and electrically invariant multi-color single InGaN/GaN nanowire light-emitting diodes on a silicon substrate under mechanical compression, Nanoscale (Inside Front Cover), vol. 15, no. 12, pp. 5671-5678, Mar. 2023. (JCR Q1, IF: 6.7)

    [6] J. Qu, R. Wang, P. Pan, L. Du, Z. Mi, Y. Sun and X. Liu*, An SEM-Based Nanomanipulation System for Multiphysical Characterization of Single InGaN/GaN Nanowires, in IEEE Transactions on Automation Science and Engineering, vol. 20, no. 1, pp. 233-243, Jan. 2023. (JCR Q1, IF: 5.6)


    [7] Cui, G., Zhang, P., Liu, X., Xie, L., Huang, W., Pan, P., Qu, J., & Fan, Q*, Novel Coil Array Design and Modeling for Independent Control of Multiple Magnetic Microrobots, in IEEE Transactions on Industrial Electronics, vol. 70, no. 10, pp.10302-10311, Oct. 2023. (JCR Q1, IF: 7.7)

    [8] J. Qu* and X. Liu, MEMS-Based Platforms for Multi-Physical Characterization of Nanomaterials: A Review, in IEEE Sensors Journal, vol. 22, no. 3, pp. 1827-1841, 1 Feb.1, 2022. (JCR Q1, IF: 4.3)

    [9] J. Qu, Q. Wu, T. Clancy, Q. Fan, X. Wang and X. Liu*, 3D-Printed Strain-Gauge Micro Force Sensors, IEEE Sensors Journal, vol. 20, no. 13, pp. 6971-6978, 2020. (JCR Q1, IF: 4.3)

    [10] Zhang, S., Zhai, Y., Peng, R., Shayegannia, M., Flood, A. G., Qu, J., Liu, X., Kherani, N. P., Wheeler*, Assembly of Topographical Micropatterns with Optoelectronic Tweezers,  Advanced Optical Materials, 7, 1900669, 2019. (JCR Q1, IF: 9.0)


    [11] Peng Pan, Juntian Qu, Weize Zhang, Xianke Dong, Wei Wei, Changhai Ru, and Xinyu Liu*, Robotic Stimulation of Freely Moving Drosophila Larvae Using a 3D Printed Micro Force Sensor, IEEE Sensors Journal, Vol.19, No.8, pp.3165-3173, Dec. 2018. (JCR Q1, IF: 4.3)

    [12] Juntian Qu, Renjie Wang, Yu Sun, Ishiang Shih, Zetian Mi* and Xinyu Liu*, Characterizing the Electrical Breakdown Properties of Single n-i-n-n+: GaN Nanowires, Applied Physics Letters, AIP Publishing, Vol.113, pp.193103, Nov. 2018. (JCR Q2, IF: 4.0)

    [13] Juntian Qu, Martin Lee, Michael Hilke and Xinyu Liu*, Investigating the impact of SEM chamber conditions and imaging parameters on contact resistance of in situ nanoprobing, Nanotechnology, Vol.28, No.34, pp.345702, Jul. 2017. (JCR Q2, IF: 3.5)

    [14] W. Zhang, J. Qu, X. Zhang, X. Liu*, A Model Compensation-Prediction Scheme for Control of Micromanipulation Systems With a Single Feedback Loop, IEEE/ASME Transactions on Mechatronics, Vol.22, No.5, pp.1973-1982, Oct. 2017. (JCR Q1, IF: 6.4)

    [15] J. Qu, W. Zhang, A. Jung, S.S.D. Cruz and X. Liu*, Microscale Compression and Shear Testing of Soft Materials Using an MEMS Microgripper With Two-Axis Actuators and Force Sensors, IEEE Transactions on Automation Science and Engineering, Vol.14, No.2, pp.834 - 843, Apr. 2017. (JCR Q1, IF: 5.6)


    1.      Encyclopedia of Marine Science (Shanghai Jiaotong University Press), Deputy Director of the editorial Board


    [1] Juntian Qu, Yunfei Wang, Wei Tang and Zhenping Yu.A soft biomimetic robot fish swimming optimization method based on CPG model,ZL02310396666.2, 2023.

    [2] Juntian Qu and Zhen Zhang. An SEM-based In-situ Photoluminescence Characterization System for Semiconducting Nanowires, ZL2020111408645, 2021.

    [3] Juntian Qu and Zhen Zhang. A Surface Pressure Sensing Method on Single Semiconducting Nanowires using Protruding AFM Probe, ZL2020111875483, 2021.

    [4] Juntian Qu and Zhen Zhang. An SEM-based In-situ Opto-electro-mechanical Characterization Method of Semiconducting Nanowires, ZL202011140872X, 2020.

    [5] Liangyong Wang, Juntian Qu, Ying Chi and Tianyou Chai. A PI Control Method based on Virtual Un-modeled Dynamics Compensation for Liquid-level System, ZL2014103853078, 2017.

    [6] Z. Zhang, Y. Liu, J. Qu. Scanning electron microscopic direct-write lithography system based on a compliant nano servo motion system. US PatentUS20220291589A1.


  • Awards and Honors

    [1]   Shenzhen “Pengcheng Peacock Project” - Class C, 2022

    [2]   Youth Talent Promotion Project, Beijing Association for Science and Technology, 2021

    [3]   Second Class Award for Technological Invention, China Machinery Industry Federation (CMIF), 2021

    [4]   Best Picture Award, National Conference of Electron Microscopy, 2021

    [5]   Second Class Award, Nano World Micro-morphology Characterization Competition, Tsinghua University, 2021

    [6]   Young Scientist Award Finalist,Springer Nature SCI Journal: Microsystems & Nanoengineering

    [7]   Shuimu Tsinghua Scholar, Tsinghua University, 2019

    [8]   International Postdoctoral Exchange Fellowship (Talent-Introduction Program), China Postdoc Council (CPC), 2019

    [9]   Quebec Merit Award, Ministry of Education, Quebec of Canada, 2014-2018

    [10] Graduate Excellence Award in Engineering, McGill University, Canada, 2014-2018