Publications

  • Journal Papers
  • Invention Patent
  • Authored Books
  1.  B. Zhong, J. Cao, A. McDaid, S. Q. Xie, and Mingming Zhang*, "Synchronous Position and Compliance Regulation on a Bi-Joint Gait Exoskeleton Driven by Pneumatic Muscles," IEEE Transactions on Automation Science and Engineering, DOI:10.1109/TIE.2020.2970617, 2020.
  2. Yuxin Peng, Xian Song, Kai Pang, Qiang Yang, Senior Member, IEEE, Zhen Xu, Mingming Zhang*, Member, IEEE, “A flexible and stretchable bending sensor based on hydrazine-reduced porous graphene for human motion monitoring”, IEEE Sensors Journal, 2020.
  3. Ping Li, Guo Zhu*, Mingming Zhang*(Corresponding Author), Member, IEEE, “Linear active disturbance rejection control for servo motor systems with input delay via internal model control rules”, IEEE Transactions on Industrial Electronics, 2020.

  4. Qing Miao, Yuxin Peng, Li Liu, Andrew McDaid, Mingming Zhang*(Corresponding Author), “Subject-specific compliance control of an upper-limb bilateral robotic system”, Robotics and Autonomous Systems, 2020.

  5. Yibin Li, Han Xu, Dong Xu, Xu Zhang, Jianming Fu, Xiaolong Li, M. Zhang*(Corresponding Author), Shengquan Xie, “Pneumatic Resistance Control of an Upper Limb Active Rehabilitation System” ASME Journal of Engineering and Science in Medical Diagnostics and Therapy, 2020.
  6. Bin Zhong†, Wenxin Niu†, Elizabeth Broadbent, Andrew McDaid, Tatia M.C. Lee and M. Zhang*, “Bringing psychological strategies to robot-assisted physiotherapy for enhanced treatment efficacy”, Frontiers in Neuroscience, 2019.
  7. Q. Miao, M. Zhang* (Corresponding Author), Andrew McDaid, Yuxin Peng, Sheng Q. Xie, "A robot-assisted bilateral upper limb training strategy with subject-specific workspace: A pilot study", Robotics and Autonomous Systems.
  8. L. Zhong, F. Li, Y. Peng*, Q. Yang, M. Zhang, J. Wang. “Design and characterization of a T-shaped two-axis force sensor”. Sensor review, 2019.
  9. M. Zhang* (Corresponding Author), A. McDaid, S. Zhang, Y. Zhang, Sheng Q. Xie, “Automated robot-assisted assessment of wrist active ranges of motion”, Medical Engineering & Physics, 2019.71.P: 98-101.
  10. D. Xu, M. Zhang* ,H. Xu, J. Fu, X. Li, 1 and S. Q. Xie, “Interactive Compliance Control of a Wrist Rehabilitation Device (WReD) with Enhanced Training Safety”, Journal of Healthcare Engineering, 2019.
  11. M. Zhang* , A. McDaid, C. Davies, Sheng Q. Xie, “Adaptive Trajectory Tracking Control of a Parallel Ankle Rehabilitation Robot with Joint-Space Force Distribution”, IEEE Access, 2019. 7: p. 85812 – 85820.
  12. Q. Miao, M. Zhang*, J. Cao, S. Q. Xie, "Reviewing High-Level Control Techniques on Robot-Assisted Upper-Limb Rehabilitation", Advanced Robotics, 2018. 32 (24): 1253-1268.
  13. Q. Miao, A. McDaid, M. Zhang*, P. Kebria, H. Li, “A Three-Stage Trajectory Determination Method of Bilateral Upper Limb Training Using Interference Analysis”, Robotics and Autonomous Systems, 2018. 105: p. 38-46.
  14. Zhang*, S. Zhang, A. McDaid, C. Davies, Sheng Q. Xie, “Automated Objective Robot-Assisted Assessment of Wrist Passive Ranges of Motion”, Journal of Biomechanics, 2018. 73: p. 223–226.
  15. Q. Miao, M. Zhang*, C. Wang, H. Li, “Towards Optimal Robot Design for Ankle Rehabilitation: The State of Art and Future Prospects”, Journal of Healthcare Engineering, 2018.
  16. Zhang, S. Xie, X. Li, G. Zhu, W. Meng, X. Huang, A. Veale, “Adaptive Patient-Cooperative Control of a Compliant Ankle Rehabilitation Robot (CARR) with Enhanced Training Safety”, IEEE Transactions on Industrial Electronics, 2017. 65(2): p. 1398 – 1407.
  17. Zhang, J. Cao, G. Zhu, Q. Miao, X. Zeng, S. Xie, “Reconfigurable Workspace and Torque Capacity of a Compliant Ankle Rehabilitation Robot (CARR)”, Robotics and Autonomous Systems, 2017. 98: p. 213-221.
  18. Zhang, J. Cao, S. Xie, G. Zhu, X. Zeng, X. Huang, Q. Xu, “A Preliminary Study on Robot-Assisted Ankle Rehabilitation for the Treatment of Drop Foot”, Journal of Intelligent & Robotic Systems, 2017.
  19. Q. Miao, M. Zhang*, S. Xie, “Design and Interaction Control of a New Bilateral Upper Limb Rehabilitation Device (BULReD)”, Journal of Healthcare Engineering, 2017.
  20. Zhang, T.C. Davies, Y Zhang, and S. Xie, “A Robot-Driven Computational Model Based Ankle Assessment Technique with Subject-Specific Adaptation”, IEEE Transactions on Biomedical Engineering, 2016. 63(4): p. 814-21.
  21. Zhang, T.C. Davies, Y. Zhang, and S. Xie, “A Real-Time Computational Model for Estimating Kinematics of Ankle Ligaments”, Computer Methods in Biomechanics and Biomedical Engineering, 2016. 19(8): p. 835-44.
  22. Zhang, T.C. Davies, A. Nandakumar, and S. Xie, “A Novel Assessment Technique for Measuring Ankle Orientation and Stiffness”, Journal of Biomechanics, 2015, 48(12): p. 3527-9.
  23. Zhang, T.C. Davies, Y. Zhang, and S. Xie, Zhang, M., et al., Reviewing effectiveness of ankle assessment techniques for use in robot-assisted therapy. Journal of Rehabilitation Research & Development, 2014. 51(4), p. 517-34.
  24. Zhang, et al., “An Assistance-as-Needed Control Paradigm for Robot-Assisted Ankle Rehabilitation”, Rehabilitation Process and Outcome, 2014: p. 15-17.
  25. Zhang*, T.C. Davies, and S. Xie, Effectiveness of Robot-Assisted Therapy on Ankle Rehabilitation — A Systematic Review. Journal of NeuroEngineering and Rehabilitation, 2013. 10(1): p. 30.
  1. M. Zhang, “Design and Control of a Parallel Ankle Rehabilitation Robot”, 201510472613.X, China.
  2. S. Wang (Supervisor), M. Zhang, J. Zhou, “A Small Machine Tool of Stranded Wires Helical Springs”, 201010219024.8, China.
  3. S. Wang (Supervisor), M. Zhang, J. Zhou, “A Detection Device of Dynamic Parameters of Stranded-wire Helical Springs Withstanding Impact Load”, 201110028523.3, China.
  4. S. Wang (Supervisor), M. Zhang, J. Zhou, “A Detection Method of Dynamic Parameters of Stranded-wire Helical Springs Withstanding Impact Load”, 201110027840.3, China.
  5. J. Zhou, M. Zhang, S. Wang (Supervisor), “An Impacting Fatigue Test Device of Stranded Wires Helical Springs”, 201110130887.2, China
  1. S. Q. Xie, M. Zhang and W. Meng, “Soft Robots for Healthcare Applications: Design, Modelling, and Control”, The Institution of Engineering and Technology (IET), London, 2017, ISBN: 978-1-78561-311-1
  2. 张明明,“《多股螺旋弹簧》第七章 “多股簧的检测和试验”, 中国科学出版社, 2011, ISBN: 9787030324177

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