1989-1992東南大學控制理論及應用專業(yè) 博士研究生

1985-1989東南大學（南京工學院）精密儀器及機械專業(yè) 碩士研究生

1981-1985南京工學院自動控制系工業(yè)自動化專業(yè) 學生

2024至今：上海市智能機器人技術(shù)與裝備重點實驗室 主任

2023至今：元知機器人研究院首席科學家、院長

2014至今：機械系統(tǒng)與振動全國（國家）重點實驗室 主任

2002至今：上海交通大學機械與動力學院 教授、特聘教授、講席教授、機器人研究所所長

1995~2002：東南大學機械工程系 副教授

1993~1994：華中理工大學機械科學與工程學院 博士后

1.     生機電一體化智能系統(tǒng)與神經(jīng)交互技術(shù)（Biomechatronics & Neuro-interfacing）

2.     軟體機器人學（Soft Robotics）

3.     機器人約束運動規(guī)劃與自主操作技術(shù)（Robot Motion Planning & Autonomous Manipulation）

4.     工業(yè)機器人技術(shù)（Industrial Robots：Technologies & Applications）

1.     中國機械工程學會機器人分會副主任委員

2.     國務院學位委員會學科評議組成員

3.     教育部科技委先進制造學部委員、腦科學與認知科學專門委員會委員

4.     上海市機器人學會理事長

5.     機器人技術(shù)及系統(tǒng)全國重點實驗室學術(shù)委員會委員

6.     智能制造裝備與技術(shù)全國重點實驗室學術(shù)委員會委員

7.     精密微納制造技術(shù)全國重點實驗室學術(shù)委員會委員

8.     軌道交通運載系統(tǒng)全國重點實驗室學術(shù)委員會委員

9.     高端裝備機械傳動全國重點實驗室學術(shù)委員會委員

10.  高性能電子裝備機電集成制造全國重點實驗室學術(shù)委員會委員

11.  Editorial Board Member, Bio-Design and Manufacturing

1.     國家自然科學基金重大儀器研制項目“運動單元放電序列非侵入式記錄儀器”，負責人，2023-2027.

2.     國家自然科學基金共融機器人重大研究計劃集成項目“面向肢體運動功能重建的生機電一體化機器人技術(shù)”，負責人，2020-2024

3.     科技創(chuàng)新2030“新一代人工智能”重大項目課題“復雜環(huán)境下面向多任務的協(xié)同、柔順、精準操控”，負責人，2020-2022

4.     上海市基礎研究重大項目“神經(jīng)信息解碼交互和多傳感信息融合”，負責人，2019-2021.

5.     國家自然科學基金重點國際合作項目“類生物體靈巧假肢及雙向生機接口”，負責人，2017~2021

6.     國家自然科學基金重點項目“深腔作業(yè)連續(xù)體機器人的運動學分析與力位操控性能綜合”，負責人，2015~2019

7.     973計劃項目“人體運動功能重建的生機電一體化科學基礎”，首席科學家，2011~2016

8.     863計劃課題“生物/機械接口與生機一體化假肢樣機研制”，負責人，2009~2011

9.     國家杰出青年科學基金項目“機器人機械學”，負責人，2006~2009

International Journals：

1.       X Shi, J Zou, P Yan, R Wan, B Lu, G Gu, X Zhu, “Semiseparated biphasic bicontinuous dielectric elastomer for high-performance artificial muscle”, Science, 2025, 390 (6777), 1044-1049.

2.       Zhang N., Zhou P., Yang X., Shen F., Ren J., Hou T., Dong L., Bian R., Wang D., Gu G., Zhu X., “Biomimetic rigid-soft finger design for highly dexterous and adaptive robotic hands”, Science Advances, 2025, 11(17): eadu2018.

3.       X Mai, J Meng, Y Ding, X Zhu, C Guan, “SRRNet: Unseen SSVEP Response Regression from Stimulus for Cross-stimulus Transfer in SSVEP-BCIs”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025, 33, 1460-1472.

4.       W Dong, S Chen, Z Mei, Y Ying, X Zhu, “DWE-Based SRIBO: An Efficient and Resilient Single-Range and Inertial-Based Odometry With Dimension-Reduced Wriggling Estimator”, IEEE/ASME Transactions on Mechatronics, 2025, to appear.

5.       N Zhang, J Ren, Y Dong, X Yang, R Bian, J Li, G Gu, X Zhu, “Soft robotic hand with tactile palm-finger coordination”, Nature Communications, 2025, 16(1), 2395.

6.       D Yang, M Feng, J Sun, Y Wei, J Zou, X Zhu, G Gu, “Soft multifunctional bistable fabric mechanism for electronics-free autonomous robots”, Science advances, 2025, 11(5), eads8734.

7.       J Li, J Cao, R Bian, R Wan, X Zhu, B Lu, G Gu, “Multimaterial cryogenic printing of three-dimensional soft hydrogel machines”, Nature Communications, 2025, 16(1), 185.

8.       J Meng, S Li, G Li, R Luo, X Sheng, X Zhu, “Improving Reliability of Life Applications Using Model-based Brain Switches via SSVEP”, IEEE Transactions on Biomedical Engineering, 2025, 72(5), 1636-1644.

9.       Y Wei, J Meng, R Luo, X Mai, S Li, Y Xia, X Zhu, “Action observation with rhythm imagery (AORI): a novel paradigm to activate motor-related pattern for high-performance motor decoding”, IEEE Transactions on Biomedical Engineering, 2025, 72(3), 1085-1096.

10.    S Ma, A.K. Clarke, K. Maksymenko, S. Deslauriers-Gauthier, X. Sheng, X. Zhu, D. Farina, “Conditional generative models for simulation of EMG during naturalistic movements”, IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(5), 9224-9237.

11.    F Chen, S Chen, Y Wang, D Li, Z Song, G Gu, X Zhu, “Multimaterial soft gripper design with dual-mode pinches for grasping in confined spaces”, IEEE/ASME Transactions on Mechatronics, 2025, 30(3), 1900-1911.

12.    R Guo, C Chen, X Zhu, “Simultaneous and Proportional Real-Time Control of Three-DoF Movements Based on Motor Unit Discharges”, IEEE Journal of Biomedical and Health Informatics, 2025, 29(4), 2642-2653.

13.    C Chen, J Zhao, Y Yu, X Sheng, X Zhu, “Wrist torque estimation by combining motor unit discharges with musculoskeletal model”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 32, 4249-4259.

14.    Z Lin, H Li, Y Ding, X Zhu, “Variational integrators on manifolds for constrained mechanical systems”, Journal of Applied Mechanics, 2024, 91(7), 071009.

15.    Lin Z., Ding Y., Zhu X., “A redundancy-aware error model for kinematic calibration of redundantly actuated overconstrained parallel robots”, IEEE/ASME Transactions on Mechatronics, 2024, 29(6), 4203-4214.

16.    Yang X., Zhang N., Huang X., Bian R., Feng M., Zhu X., Gu G., “Multidirectional Bending Soft Pneumatic Actuator with Fishbone-like Strain-Limiting Layer for Dexterous Manipulation”, IEEE Robotics and Automation Letters, 2024, 9(4), 3815-3822.

17.    Hou T., Ding Y., Zhu X., “A geometric framework for stiffness mappings of compliant robotic systems on the special Euclidean group”, IEEE Transactions on Robotics, 2023, 40, 2181-2200.

18.    Gu G., Zhang N., Chen C., Xu H., Zhu X., “Soft robotics enables neuroprosthetic hand design”, ACS nano, 2023, 17 (11), 9661-9672.

19.    Guo W., Sheng X., Zhu X., “Assessment of muscle fatigue based on motor unit firing, muscular vibration and oxygenation via hybrid mini-grid sEMG, MMG, and NIRS sensing”, IEEE Transactions on Instrumentation and Measurement, 2023, 72, 4001510.

20.    Zhao J., Yu Y., Sheng X., Zhu X., “Consistent control information driven musculoskeletal model for multiday myoelectric control”, Journal of Neural Engineering, 2023, 20(5), 056007.

21.    Ai J., Meng J., Mai X., Zhu X., “BCI control of a robotic arm based on SSVEP with moving stimuli for reach and grasp tasks”, IEEE Journal of Biomedical and Health Informatics, 2023, 27(8), 3818-3829.

22.    Chen G., Dong W., Peng P., Alonso-Mora J., Zhu X., “Continuous occupancy mapping in dynamic environments using particles”, IEEE Transactions on Robotics, 2024, 40:64-84.

23.    Chen F., Song Z., Chen S., Gu G., Zhu X., “Morphological design for pneumatic soft actuators and robots with desired deformation behavior”, IEEE Transactions on Robotics, 2023, 39(6): 4408-4428.

24.    Mai X., Ai J., Wei Y., Zhu X., Meng J., “Phase-locked time-shift data augmentation method for SSVEP brain-computer interfaces”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 32:4096-4105.

25.    Xie T., Wu Z., Foutz T.J., Sheng X., Zhu X., Leuthardt E.C., Willie J.T., Chen L., Brunner P., “Slow-wave modulation analysis during states of unconsciousness using the novel tau-modulation method”, Journal of Neural Engineering, 2023, 20(4), 046013

26.    Lin Z., Xu L., Ding Y., Zhu X., “A 2R1T redundantly actuated parallel manipulator with an offset moving platform and fixed linear actuators”, Transactions of the ASME ? Journal of Mechanisms and Robotics, 2023, 15 (4): 041016

27.    Su S., Chai G., Xu W., Meng J., Sheng X., Mouraux A., Zhu X., “Neural evidence for functional roles of tactile and visual feedback in the application of myoelectric prosthesis”, Journal of Neural Engineering, 2023, 20 (1): 016038.

28.    Mai X., Sheng X., Shu X., Ding Y., Zhu X., Meng J., "A calibration-free hybrid approach combining SSVEP and EOG for continuous control," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 3480-3491.

29.    Gu G., Zhang N., Xu H., Lin S., Yu Y., Chai G., Ge L., Yang H., Shao Q., Sheng X., Zhu X., Zhao X., “A soft neuroprosthetic hand for simultaneous myoelectric control and tactile feedback”, Nature Biomedical Engineering, 2023, 7(4):589-598.

30.    Guo W., Xu W., Zhao Y., Xu S., Sheng X., Zhu X., “Toward human-in-the-loop shared control for upper-limb prostheses: A systematic analysis of state-of-the-art technologies”, IEEE Transactions on Medical Robotics and Bionics, 2023, 5(3): 563-579.

31.    Xu W., Guo W., Shi X., Sheng X., Zhu X., “Fast force-closure grasp synthesis with learning-based sampling”, IEEE Robotics and Automation Letters, 2023, 8(7):4275-4282

32.    Chen C., Yu Y., Sheng X., Meng J., Zhu X., “Real-time hand gesture recognition by decoding motor unit discharges across multiple motor tasks from surface electromyography”, IEEE Transactions on Biomedical Engineering, 2023, 70(7): 2058-2068.

33.    Chen C., Yu Y., Sheng X., Meng J., Zhu X., “Mapping individual motor unit activity to continuous three-DoF wrist torques: Perspectives for Myoelectric Control”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31:1807-1815

34.    Dong W., Li Y., Sheng X., Zhu X., “Trajectory estimation of a flying robot with a single ranging beacon and derived velocity constraints”, IEEE Transactions on Industrial Electronics, 2023, 70(5):5024-5033.

35.    Huang X., Zhu X., Gu G., “Kinematic modeling and characterization of soft parallel robots”, IEEE Transactions on Robotics, 2022, 38(6): 3792-3806.

36.    Lin Z., Dong W., Liu S., Sheng X., Zhu X., “An efficient egocentric regulator for continuous targeting problems of the underactuated quadrotor”, IEEE/ASME Transactions on Mechatronics, 2022, 28(1): 116-127.

37.    Yao L., Jiang N., N. Mrachacz-Kersting, Zhu X., Farina D., Wang Y., “Performance variation of a somatosensory BCI based on imagined sensation: A large population study”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30:2486-2493.

38.    Dong W., Gong C., Chen G., Sheng X., Zhu X., “Computationally efficient topological mapping with layered spanning trees”, IEEE/ASME Transactions on Mechatronics, 2022, 27(5):4067-4077.

39.    Yao L., Jiang N., Natalie M.-K., Zhu X., Farina D., Wang Y., “Reducing the calibration time in somatosensory BCI by using tactile ERD”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30:1870-1876.

40.    Xie T., Wu Z., Schalk G., Tong Y., Vato A., Raviv N., Guo Q., Ye H., Sheng X., Zhu X., Brunner P., Chen L., “Automated intraoperative central sulcus localization and somatotopic mapping using median nerve stimulation”, Journal of Neural Engineering, 2022, 19(4):046020.

41.    Chen C., Ma S., Yu Y., Sheng X., Zhu X., “Segment-wise decomposition of surface electromyography to identify discharges across motor neuron populations”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30:2012-2021.

42.    Chai G., Wang H., Li G., Sheng X., Zhu X., “Electrotactile feedback improves grip force control and enables object stiffness recognition while using a myoelectric hand”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30:1310-1320.

43.    Ye H., Li G., Sheng X., Zhu X., “Phase-amplitude coupling between low-frequency scalp EEG and high-frequency intracranial EEG during working memory task”, Journal of Neural Engineering, 2022, 19(2):026043.

44.    Chen C., Yu Y., Sheng X., Zhu X., “Non-invasive analysis of motor unit activation during simultaneous and continuous wrist movements”, IEEE Journal of Biomedical and Health Informatics, 2022, 26(5):2106-2115.

45.    Ma S., Chen C., Zhao J., Han D., Sheng X., Farina D., Zhu X., “Analytical modelling of surface EMG signals generated by curvilinear fibers with approximate conductivity tensor, IEEE Transactions on Biomedical Engineering, 2022, 69(3):1052-1062.

46.    Li G., Jiang S., Meng J., Chai G., Wu Z., Fan Z., Hu J., Sheng X., Zhang D., Chen L., Zhu X., “Assessing differential representation of hand movements in multiple domains using stereo-electroencephalographic recordings”, NeuroImage, 2022, 250:118969.

47.    Zhao J., Yu Y., Wang X., Ma S., Sheng X., Zhu X., “A musculoskeletal model driven by muscle synergy-derived excitations for hand and wrist movements”, Journal of Neural Engineering, 2022, 19:016027.

48.    Su S., Chai G., Meng J., Sheng X., Mouraux A., Zhu X., “Towards optimizing the non-invasive sensory feedback interfaces in a neural prosthetic control”, Journal of Neural Engineering, 2022, 19:016028.

49.    Chen F., Miao Y., Zhang L., Chen S., Zhu X., “Triply periodic channels enable soft pneumatic linear actuator with single material and scalability”, IEEE Robotics and Automation Letters, 2022, 7(2):2668-2675.

50.    Yu Y., Chen C., Zhao J., Sheng X., Zhu X., “Surface electromyography image driven torque estimation of multi-DoF wrist movements”, IEEE Transactions on Industrial Electronics, 2022, 69(1):795-804.

51.    Sun Y., Liu C., Sun L., Xiong Z., Zhu X., “Chatter detection with beat effect based on beat frequency estimation”, IEEE Transactions on Automation Science and Engineering, 2021, 18(4):2166-2174.

52.    Shen Z., Zhu X., Majidi C., Gu G., “Cutaneous ionogel mechanoreceptors for soft machines, physiological sensing, and amputee prostheses”, Advanced Materials, 2021, 33:2102069.

53.    Gu G., Wang D., Ge L., Zhu X., “Analytical modeling and design of generalized pneu-net soft actuators with 3D deformations”, Soft Robotics, 2021, 8(4):462-477.

54.    Li G., Jiang S., Paraskevopoulou S., Chai G., Wei Z., Liu S., Wang M., Xu Y., Fan Z., Wu Z., Chen L., Zhang D., Zhu X., “Detection of human white matter activation and evaluation of its function in movement decoding using stereo-electroencephalography”, Journal of Neural Engineering, 2021, 18(4):0460c6.

55.    Chen S., Chen F., Cao Z., Wang Y., Miao Y., Gu G., Zhu X., “Topology optimization of skeleton-reinforced soft pneumatic actuators for desired motions”, IEEE/ASME Transactions on Mechatronics, 2021, 26(4):1745-1753.

56.    Yu Y., Chen C., Sheng X., Zhu X., “Wrist torque estimation via electromyographic motor unit decomposition and image reconstruction”, IEEE Journal of Biomedical and Health Informatics, 2021, 25(7):2557-2566.

57.    Chen C., Yu Y., Sheng X., Farina D., Zhu X., “Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time”, Journal of Neural Engineering, 2021, 18(5):056010.

58.    Chen F., Miao Y., Gu G., Zhu X., “Soft twisting pneumatic actuators enabled by freeform surface design”, IEEE Robotics and Automation Letters, 2021, 6(3):5253-5260.

59.    Lv B., Chai G., Sheng X., Ding H., Zhu X., “Evaluating user and machine learning in short- and long-term pattern recognition-based myoelectric control”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29:777-785.

60.    Chen G., Dong W., Sheng X., Zhu X., Ding H., “An active sense and avoid system for flying robots in dynamic environments”, IEEE/ASME Transactions on Mechatronics, 2021, 26(2):668-678.

61.    Chen G., Sun D., Dong W., Sheng X., Zhu X., Ding H., “Computationally efficient trajectory planning for high speed obstacle avoidance of a quadrotor with active sensing”, IEEE Robotics and Automation Letters, 2021, 6(2):3365-3372.

62.    Sun Y., Ding L., Liu C., Xiong Z., Zhu X., “Beat effect in machining chatter: Analysis and detection”, Transactions of the ASME: Journal of Manufacturing Science and Engineering, 2021, 143(1):011003.

63.    Chen F., Liu K., Pan Q., Chen S., Zhu X., “An integrated design and fabrication strategy for planar soft dielectric elastomer actuators”, IEEE/ASME Transactions on Mechatronics, 2020, 26(5):2629-2640.

64.    Liu S., Dong W., Sheng X., Zhu X., “Adaptive aerial grasping and perching with dual elasticity combined suction cup”, IEEE Robotics and Automation Letters, 2020, 5(3):4766-4773.

65.    Chen C., Ma S., Sheng X., Farina D., Zhu X., “Adaptive real-time identification of motor unit discharges from non-stationary high-density surface electromyographic signals”, IEEE Transactions on Biomedical Engineering., 2020, 67(12):3501-3509.

66.    He J., Sheng X., Zhu X., Jiang N., “Position identification for robust myoelectric control against electrode shift”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28(12):3121-3128.

67.    Ma S., Lv B., Lin C., Sheng X., Zhu X., “EMG signal filtering based on variational mode decomposition and sub-band thresholding”, IEEE Journal of Biomedical and Health Informatics, 2021, 25(1):47-58.

68.    Dong W., Liu S., Ding Y., Sheng X., Zhu X., “An artificially weighted spanning tree coverage algorithm for decentralized flying robots”, IEEE Transactions on Automation Science and Engineering, 2020, 17(4):1689-1698.

69.    Xia H.,Chen D.K., Zhu X., Shull P.B. “‘Controlled slip’ energy harvesting while walking”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28(2):437-443.

70.    Su S., Chai G., Sheng X., Meng J., Zhu X., “Contra-lateral desynchronized alpha oscillations linearly correlate with discrimination performance of tactile acuity”, Journal of Neural Engineering, 2020, 17(4):046041.

71.    Su S., Chai G., Shu X., Sheng X., Zhu X., “Electrical stimulation-induced SSSEP as an objective index to evaluate the difference of tactile acuity between the left and right hand”, Journal of Neural Engineering, 2020, 17(1):016053.

72.    Chen F., Liu K., Wang Y., Zou J., Gu G.-Y., Zhu X., “Automatic design of soft dielectric elastomer actuators with optimal spatial electric fields”, IEEE Transactions on Robotics, 2019, 35(5):1150-1165.

73.    Shull P., Tan T., Culbertson H., Zhu X., Okamura A., “Resonant frequency skin stretch for wearable haptics”, IEEE Transactions on Haptics, 2019, 12(3):247-256.

74.    Dong W., Ding Y., Yang L., Sheng X., Zhu X., “An efficient approach for stability analysis and parameter tuning in delayed feedback control of a flying robot carrying a suspended load”, Transactions of the ASME: Journal of Dynamic Systems, Measurement and Control, 2019, 141(8):081015.

75.    Shu X., Chen S., Meng J., Sheng X., Jia J., Farina D., Zhu X., “Tactile stimulation improves sensorimotor rhythm-based BCI performance in stroke patients”, IEEE Transactions on Biomedical Engineering, 2019, 66(7):1987-1995.

76.    Tang L., Gu G.-Y., Zhu L., Zhu X., “Path tracking of a cable-driven snake robot with a two-level motion planning method”, IEEE/ASME Transactions on Mechatronics, 2019, 24(3):935-946.

77.    Shull P.B., Jiang S., Zhu Y., Zhu X., “Hand gesture recognition and finger angle estimation via wrist-worn modified barometric pressure sensing”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019, 27(4):724-732.

78.    Chen C., Chai G., Guo W., Sheng X., Farina D., Zhu X., “Prediction of finger kinematics from discharge timings of motor units: implications for intuitive control of myoelectric prostheses”, Journal of Neural Engineering, 2019, 16(2):026005.

79.    Yao L., Sheng X., Natalie M.-K., Zhu X., Farina D., Jiang N., “Sensory stimulation training for BCI system based on somatosensory attentional orientation”, IEEE Transactions on Biomedical Engineering, 2019, 66(3):640-646.

80.    He J., Sheng X., Zhu X., Jiang N., “Electrode density affects the robustness of myoelectric pattern recognition system with and without electrode shift”, IEEE J. Biomedical and Health Informatics, 2019, 23(1):156-163.

81.    Gu G.-Y., Zou J., Zhao R., Zhao X. Zhu X., “Soft wall-climbing robots”, Science Robotics, 2018, 3(25), eaat2874.

82.    Yao L., Natalie M.-K., Sheng X., Zhu X., Farina D., Jiang N., “A multi-class BCI based on somatosensory imagery”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018, 26(8):1508-1515.

83.    Yao L., Sheng X., Natalie M.-K., Zhu X., Farina D., Jiang N., “Decoding covert somatosensory attention by a BCI system calibrated with tactile sensation”, IEEE Transactions on Biomedical Engineering, 2018, 65(8):1689-1695.

84.    Xu K., Liu H., Zhang Z., Zhu X., “Wrist-powered partial hand prosthesis using a continuum whiffle tree mechanism: A case study”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018, 26(3):609-618.

85.    Yao L., Sheng X., Natalie M.-K., Zhu X., Farina D., Jiang N., “Performance of brain-computer interfacing based on tactile selective sensation and motor imagery”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018, 26(1):60-68.

86.    Yao L., Chen M., Sheng X., Natalie M.-K., Zhu X., Farina D., Jiang N., “A multi-class tactile brain-computer interface based on stimulus-induced oscillatory dynamics”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018, 26(1):3-10.

87.    Shull P.B., Zhu X., Cutkosky M., “Continuous movement tracking performance for predictable and unpredictable tasks with vibrotactile feedback”, IEEE Transactions on Haptics, 2017, 10(4):466-475.

88.    Gu G.-Y., Gupta U., Zhu J., Zhu L.-M., Zhu X., “Modeling of viscoelastic electromechanical behavior in a soft dielectric elastomer actuator”, IEEE Transactions on Robotics, 2017, 33(5):1263-1271.

89.    Yao L., Sheng X., Zhang D., Jiang N., Natalie M.-K., Zhu X., Farina D., “A stimulus-independent hybrid BCI based on motor imagery and somatosensory attentional orientation”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(9):1674-1682.

90.    He J., Zhu X., “Combining improved gray-level co-occurrence matrix with high density grid for myoelectric control robustness to electrode shift”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(9):1539-1548.

91.    Pan L., Zhang D., Jiang N., Sheng X., Zhu X., “Transcranial direct current stimulation versus user training on improving online myoelectric control for amputees”, Journal of Neural Engineering, 2017, 14(4):046019.

92.    Guo W., Sheng X., Liu H., Zhu X., “Toward an enhanced human-machine interface for upper-limb prosthesis control with combined EMG and NIRS signals”, IEEE Transactions on Human-Machine Systems, 2017, 47(4):564-575.

93.    Cai G., Zhang D., Zhu X., “Developing non-somatotopic phantom finger sensation to comparable levels of somatotopic sensation through user training with electrotactile stimulation”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(5):469-480

94.    Dong W., Ding Y., Huang J., Zhu X., Ding H., “An efficient approach of time optimal trajectory generation for the fully autonomous navigation of the quadrotor”, Transactions of the ASME: Journal of Dynamic Systems, Measurement and Control, 2017, 139(6):061012

95.    Dong W., Ding Y., Zhu X., Ding H., “Differential quadrature method for stability and sensitivity analysis of neutral delay differential systems”, Transactions of the ASME: Journal of Dynamic Systems, Measurement and Control, 2017, 139(4):044504.

96.    Zhu X., Liu J., Zhang D., Sheng X., Jiang N., “Cascaded adaptation framework for fast calibration of myoelectric control”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(3):254-264.

97.    Yao L., Sheng X., Zhang D., Jiang N., Farina D., Zhu X., “A BCI system based on somatosensory attentional orientation”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(1):78-87.

98.    Huang Y., Jirattigalachote W., Cutkosky M., Zhu X., Shull P., “Novel foot progression angle algorithm estimation via foot-worn, magneto-inertial sensing”, IEEE Transactions on Biomedical Engineering, 2016, 63(11):2278-2285. 

99.    Xu H., Zhang D., Huegel J., Xu W., Zhu X., “Effects of different tactile feedback on myoelectric closed-loop control for grasping based on electrotactile stimulation”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 24(8):827-836.

100. Liu J., Sheng X., Zhang D., Jiang N., Zhu X., “Towards zero retraining for myoelectric control based on common model component analysis”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 24(4):444-454.

101. Dong W., Ding Y., Zhu X., Ding H., “Optimal proportional-integral-derivative control of time-delay systems using the differential quadrature method”, Transactions of the ASME: Journal of Dynamic Systems, Measurement and Control, 2015, 137(10):101005.

102. Liu J., Sheng X., Zhang D., He J., Zhu X., “Reduced daily recalibration of myoelectric prosthesis classifiers based on domain adaptation”, IEEE Journal of Biomedical and Health Informatics, 2016, 20(1):166-176.

103. He J., Zhang D., Jiang N., Farina D., Zhu X., “User adaptation in long-term, open-loop myoelectric training: Implications for EMG pattern recognition in prosthesis control”, Journal of Neural Engineering, 2015, 12(4):046005.

104. Yao L., Meng J., Sheng X., Zhang D., Zhu X., “A novel calibration and task guidance framework for motor imagery BCI via a tendon vibration induced sensation with kinesthesia illusion”, Journal of Neural Engineering, 2015, 12(1):016005.

105. Gu G.-Y., Gupta U., Zhu J., Zhu L.-M., Zhu X.-Y., “Feedforward deformation control of a dielectric elastomer actuator based on a nonlinear dynamic model”, Applied Physics Letters, 2015, 107(4):836.

106. Pan L., Zhang D., Sheng X., Zhu X., “Improving myoelectric control for amputees through transcranial direct current stimulation”, IEEE Transactions on Biomedical Engineering, 2015, 62(8):1927-1936.

107. Meng J., Yao L., Sheng X., Zhang D., Zhu X., “Simultaneously optimizing spatial spectral features based on mutual information for EEG classification”, IEEE Transactions on Biomedical Engineering, 2015, 62(1):227-240.

108. He J., Zhang D., Sheng X., Li S., Zhu X., “Invariant surface EMG feature against varying contraction level for myoelectric control based on muscle coordination”, IEEE Journal of Biomedical and Health Informatics, 2015, 19(3):874~882.

109. Yao L., Meng J., Zhang D.,Sheng X., Zhu X., “Combining motor imagery with selective sensation toward a hybrid-modality BCI”, IEEE Transactions on Biomedical Engineering, 2014, 61(8):2304-2312.

110. Meng, J., Sheng, X., Zhang, D., Zhu, X., “Improved semisupervised adaptation for a small training dataset in the brain-computer interface”, IEEE Journal of Biomedical and Health Informatics, 2014, 18(4):1461-1472.

111. Ouyang G., Zhu X., Ju Z., Liu H., “Dynamical characteristics of surface EMG signals of hand grasps via recurrence plot”, IEEE Journal of Biomedical and Health Informatics, 2014, 18(1):257-265.

112. Liu J., Wu J., Xiong Z., Zhu X., “Servo system identification using relay feedback: A time-domain approach”, Transactions of the ASME: Journal of Manufacturing Science and Engineering, 2012, 134(6):61012.

113. Zhu X., Ding H., “Optimality criteria for fixture layout design: a comparative study”, IEEE Transactions on Automation Science and Engineering, 2009, 6(4):658-669.

114. Zhu L., Ding H., Zhu X., “Extraction of periodic signal without external reference by time domain average scanning”, IEEE Transactions on Industrial Electronics, 2008, 55(2):918-927.

115. Zhu X., Ding H., “An efficient algorithm for grasp synthesis and fixture layout design in discrete domain”, IEEE Transactions on Robotics, 2007, 23(1):157-163.

116. Zhu L., Ding H., Zhu X., “Synchronous averaging of time-frequency distribution with application to machine condition monitoring”, Transactions of the ASME: Journal of Vibration and Acoustics, 2007, 129:441-447.

117. Zhu X., Ding H., “Computation of force-closure grasps: An iterative algorithm”, IEEE Transactions on Robotics, 2006, 22(1):172-179.

118. Zhu X., Ding H., Tso S.-K., “A pseudo distance function and its applications”, IEEE Transactions on Robotics and Automation, 2004, 20(2):pp.344-352.

119. Zhu X., Ding H., Wang M.Y., “A numerical test for the closure properties of 3-D grasps”, IEEE Transactions on Robotics and Automation, 2004, 20(3):543-549.

120. Zhu X., Ding H., Wang M.Y., “Form error evaluation: An iterative reweighted least squares algorithm”, Transactions of the ASME: Journal of Manufacturing Science and Engineering, 2004, 126(3):535-542.

121. Zhu X., Ding H., Wang J., “Grasp analysis and synthesis based on a new quantitative measure”, IEEE Transactions on Robotics and Automation, 2003, 19(6):942-953.

122. Zhu X., Wang J., “Synthesis of force-closure grasps on 3-D objects based on the Q distance”, IEEE Transactions on Robotics and Automation, 2003, 19(4):669-679.

123. Zhu X., Ding H., “Flatness tolerance evaluation: An approximate minimum zone solution”, Computer-Aided Design, 2002, 34(9):655-664.

國內(nèi)期刊：

124. S Li, J Meng, Y Wei, X Zhu, “Vibrotactile-based brain switch via a virtual physical system model”, Science China Technological Sciences, 2025, 68 (4), 1420302.

125. Li D., Chen S., Song Z., Liang J., Zhu X., Chen F., “Tailoring the in-plane and out-of-plane stiffness of soft fingers by endoskeleton topology optimization for stable grasping”, Science China Technological Sciences,  2023, 66 (11), 3080-3089.

126. Jiang N., Chen C., He J., Meng J., Pan L., Su S., Zhu X., “Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control: a 10-year perspective review”, National Science Review, 2023, 10 (5), nwad048.

127. Wu J., Zhang H., Chang Y., Xiong Z., Zhu X., “Novel objects 3-D dense packing through robotic pushing”, Science China Technological Sciences, 2022, 65 (12): 2942-2951.

128. Wu H., Ding Y., Zhu X., “QD-RRT: A motion planning method for manipulators based on RRT and Q-distance function／QD-RRT: 基于Q距離函數(shù)和快速擴展隨機樹的機械臂運動規(guī)劃方法”, Scientia Sinica Technologica, 2022, 52(5), pp.773-783.

129. Guo W., Wang M., Sheng X., Zhu X., “Towards semi-supervised myoelectric finger motion recognition based on spatial motor units activation”, Science China Technological Sciences, 2022, 65(6), pp.1232-1242.

130. Zhang N., Zhao Y., Gu G., Zhu X., “Synergistic control of soft robotic hands for human-like grasp postures”, Science China Technological Sciences, 2022, vo.65, no.3, pp.553-568.

131. Zou J., Feng M., Ding N., Yan P., Xu H., Yang D., Fang N., Gu G., Zhu X., “Muscle-fiber array inspired, multiple-mode, pneumatic artificial muscles through planar design and one-step rolling fabrication”, National Science Review, 2021, vol.8, no.10, nwab048.

132. Chen S., Wang Y., Li D., Chen F., Zhu X., “Enhancing interaction performance of soft pneumatic-networks grippers by skeleton topology optimization”, Science China Technological Sciences, 2021, vol.64, no.12, pp.2709-2717.

133. Lv B., He J., Sheng X., Ding H., Zhu X., “Channel selection against electrode shift enables robust myoelectric control without retraining”, Science China Technological Sciences, 2021, vol.64, no.8, pp.1653-1662.

134. Sheng X., Qin Z., Xu H., Shu X., Gu G., Zhu X., “Soft ionic-hydrogel electrodes for electroencephalography signal recording”, Science China Technological Sciences, 2021, vol.64, no.2, pp.273-282.

135. Pan Q., Chen S., Chen F., Zhu X., “Programmable soft bending actuators with auxetic metamaterials”, Science China Technological Sciences, 2020, vol.63, no.12, pp.2518-2526.

136. Sheng X., Tang L., Huang X., Zhu L., Zhu X., Gu G., “Operational-space wrench and acceleration capability analysis for multi-link cable-driven robots”, Science China Technological Sciences, 2020, vol.63, no.10, pp.2063-2072.

137. Tang L., Zhu L., Zhu X., Gu G., “Confined spaces path following for cable-driven snake robots with prediction lookup and interpolation algorithms”, Science China Technological sciences, 2020, vol.63, no.2, pp.255-264.

138. Zhu X., Ding H., Zhong B., Xiong Y., “An overview on distance and pseudo distance functions and their applications”, Chinese Science Bulletin, 2003, vol.48, no.16, pp.1686-1695.／朱向陽，丁漢，鐘秉林，熊有倫，“凸集之間的（偽）距離函數(shù)及其應用”，科學通報，2003, vol.48，no.10，pp.996-1004.

139. Zhu X., Ding H., Xiong Y., “Pseudo minimum translational distance between convex polyhedra (I)”, Science in China Series E: Technological Sciences, 2001, vol.44, no.2, pp.216-224.／朱向陽，丁漢，熊有倫，“凸多面體之間的偽最小平移距離?I. 定義及其性質(zhì)”，2001, 中國科學E輯，vol.31，no.2，pp.128-136.

140. Zhu X., Ding H., Xiong Y.，“Pseudo minimum translational distance between convex polyhedra (II)”，Science in China Series E: Technological Sciences, 2001, vol.44, no.4, pp.337-344.／朱向陽，丁漢，熊有倫，“凸多面體之間的偽最小平移距離?Ⅱ. 機器人運動規(guī)劃”，中國科學E輯，2001, vol.31，no.3，pp.238-244.

141. Zhu X., Zhong B., Mathew J., “Balancing of flexible shafts: minimizing the maximum residual vibrations in the sense of D-metric”, Chinese science bulletin, 1999, vol.44, no.19, pp.1767-1770.／朱向陽，鐘秉林，Mathew J.，“矢量集誘導度量意義下轉(zhuǎn)子最大殘余振動極小化”，科學通報，1999, vol.44，no.2，pp.152-155.

142. Zhu X., Zhu L., Zhong B., “Robot collision-free path planning utilizing gauge function”, Science in China Series E: Technological Sciences, 1997, vol.40, no.5, pp.546-552.／朱向陽，朱利民，鐘秉林，“基于 gauge 函數(shù)的機器人無碰撞路徑規(guī)劃方法”，中國科學E輯，1997, vol.27，no.5，pp.453-459.

發(fā)明專利
1. 基于表面肌電信號的手寫識別方法，200910310228.X，黃淦，李順沖，盛鑫軍，朱向陽
2. 針對下肢的層級式功能性電刺激康復系統(tǒng)，200910310630.8，張定國，朱向陽，劉廣權(quán)
3. 肌電信號控制的主從式無線功能性電刺激康復系統(tǒng)，200910312370.8，張定國，朱向陽，陳歆普
4. 基于記憶合金驅(qū)動的手部外骨骼康復系統(tǒng)，201310217665.3，湯特，張定國，朱向陽
5. 少通道下運動想象腦電特征的提取方法，201310309826.1，朱向陽，孟建軍，盛鑫軍，段仁全
6. 外骨骼輔助康復治療系統(tǒng)，201310289862.6，徐凱，朱向陽，邱冬，趙江然，劉國慶，汪友
7. 自助式雙側(cè)同步外骨骼康復機構(gòu)，201310627763.4，徐凱，朱向陽，汪友，趙江然，劉國慶，傅敏宵，陽志雄
8. 用于電觸覺的量化分析系統(tǒng)及其分析方法，201310116261.5，張定國，徐飛，朱向陽
9. 佩戴式多通道表面肌電信號采集臂環(huán)，201310241598.9，朱向陽，郭偉超，盛鑫軍，陳星羽，張定國
10. 一種表面肌電和近紅外光譜聯(lián)合采集裝置，201310585071.8，朱向陽，郭偉超，姚鵬飛，盛鑫軍
11. 具有形狀自適應的欠驅(qū)動機械手指，201410046730.5，朱向陽，華磊，盛鑫軍
12. 用于產(chǎn)生人工電觸覺的電刺激系統(tǒng)，201210316658.4，朱向陽，張定國，湯特，徐飛
13. 基于連續(xù)體傳動機構(gòu)的欠驅(qū)動假肢手，201310687094.X，徐凱，朱向陽，劉歡，杜宇恒，趙江然，劉國慶
14. 一種可用于獲取四肢表面肌電信號的可佩戴電極陣列，201310164855.3，朱向陽，方銀峰，劉洪海，盛鑫軍
15. 一種基于近紅外傳感器的肌群信息檢測裝置，201310585091.5，朱向陽，姚鵬飛，邱中一，郭偉超，盛鑫軍

軟件著作權(quán)
1. 腦機接口在線采集與處理系統(tǒng)軟件BCI-SJTU v1.0，2013SR078349，朱向陽，姚林，盛鑫軍
2. 腦電&肌電聯(lián)合控制假肢手系統(tǒng)軟件HCI-SJTU v.10，2013SR078751，朱向陽，何家源，盛鑫軍
3. EMG-1000 16P手持式肌電采集儀上位機控制軟件EMGWin v1.0，2013SR078408，朱向陽，郭偉超，姚林，盛鑫軍
4. 肌電信號監(jiān)測與存儲軟件 EMG Eye v1.0，2013SR100457，劉洪海，朱向陽，方銀鋒，盛鑫軍
5. 人手運動多模態(tài)數(shù)據(jù)同步和分割軟件SST-MHHM V1.0，2015SR103234，劉洪海，琚兆杰，盛鑫軍，朱向陽
6. 經(jīng)皮電觸覺刺激系統(tǒng)人機界面軟件HCI-CES V1.0，2015SR080840，鮑林軍，張定國，許恒
7. 生機電虛擬環(huán)境測試軟件BioVIE V1.0，2015SR223766，朱向陽，呂威，盛鑫軍