近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
1. 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, to appear.
2. 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 & Measurement, to appear.
3. Zhang H., Sheng Q., Hu J., Sheng X., Xiong Z., Zhu X., “Cooperative transportation with mobile manipulator: A aapability map-based framework for physical human-robot collaboration”, IEEE/ASME Transactions on Mechatronics, to appear.
4. 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, available online @IEEE Xplore Early Access.
5. 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, available online @IEEE Xplore Early Access.
6. 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, available online @IEEE Xplore Early Access.
7. Dong W., Ma Z., Sheng X., Zhu X., “Centimeter-level aerial assembly achieved with manipulating condition inference and compliance”, IEEE/ASME Transactions on Mechatronics, available online @IEEE Xplore Early Access.
8. 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 & Rehabilitation Engineering, 2023, 31:1807-1815
9. 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.
10. Huang X., Zhu X., Gu G., “Kinematic modeling and characterization of soft parallel robots”, IEEE Transactions on Robotics, 2022, 38(6): 3792-3806.
11. 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 & Rehabilitation Engineering, 2022, 30:2486-2493.
12. 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.
13. 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 & Rehabilitation Engineering, 2022, 30:1870-1876.
14. 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.
15. 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 & Rehabilitation Engineering, 2022, 30:2012-2021.
16. 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 & Rehabilitation Engineering, 2022, 30:1310-1320.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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 & Automation Letters, 2022, 7(2):2668-2675.
24. 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.
25. 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, 2021, DOI:10.1038/s41551-021-00767-0
26. 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 & Engineering, 2021, 18(4):2166-2174.
27. Shen Z., Zhu X., Majidi C., Gu G., “Cutaneous ionogel mechanoreceptors for soft machines, physiological sensing, and amputee prostheses”, Advanced Materials, 2021, 33:2102069.
28. 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.
29. 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.
30. 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.
31. Yu Y., Chen C., Sheng X., Zhu X., “Wrist torque estimation via electromyographic motor unit decomposition and image reconstruction”, IEEE Journal of Biomedical & Health Informatics, 2021, 25(7):2557-2566.
32. 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.
33. Chen F., Miao Y., Gu G., Zhu X., “Soft twisting pneumatic actuators enabled by freeform surface design”, IEEE Robotics & Automation Letters, 2021, 6(3):5253-5260.
34. 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 & Rehabilitation Engineering, 2021, 29:777-785.
35. 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.
36. 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 & Automation Letters, 2021, 6(2):3365-3372.
37. 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 & Engineering, 2021, 143(1):011003.
38. 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.
39. Liu S., Dong W., Sheng X., Zhu X., “Adaptive aerial grasping and perching with dual elasticity combined suction cup”, IEEE Robotics & Automation Letters, 2020, 5(3):4766-4773.
40. 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.
41. He J., Sheng X., Zhu X., Jiang N., “Position identification for robust myoelectric control against electrode shift”, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2020, 28(12):3121-3128.
42. 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 & Health Informatics, 2021, 25(1):47-58.
43. 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 & Engineering, 2020, 17(4):1689-1698.
44. Xia H.,Chen D.K., Zhu X., Shull P.B. “‘Controlled slip’ energy harvesting while walking”, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2020, 28(2):437-443.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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 & Control, 2019, 141(8):081015.
50. 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.
51. 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.
52. 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 & Rehabilitation Engineering, 2019, 27(4):724-732.
53. 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.
54. 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.
55. 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 & Health Informatics, 2019, 23(1):156-163.
56. Gu G.-Y., Zou J., Zhao R., Zhao X. Zhu X., “Soft wall-climbing robots”, Science Robotics, 2018, 3(25), eaat2874.
57. 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 & Rehabilitation Engineering, 2018, 26(8):1508-1515.
58. 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.
59. 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 & Rehabilitation Engineering, 2018, 26(3):609-618.
60. 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 & Rehabilitation Engineering, 2018, 26(1):60-68.
61. 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 & Rehabilitation Engineering, 2018, 26(1):3-10.
62. 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.
63. 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.
64. 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 & Rehabilitation Engineering, 2017, 25(9):1674-1682.
65. 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 & Rehabilitation Engineering, 2017, 25(9):1539-1548.
66. 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.
67. 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.
68. 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 & Rehabilitation Engineering, 2017, 25(5):469-480
69. 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 & Control, 2017, 139(6):061012
70. 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 & Control, 2017, 139(4):044504.
71. Zhu X., Liu J., Zhang D., Sheng X., Jiang N., “Cascaded adaptation framework for fast calibration of myoelectric control”, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2017, 25(3):254-264.
72. 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 & Rehabilitation Engineering, 2017, 25(1):78-87.
73. 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.
74. 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 & Rehabilitation Engineering, 2016, 24(8):827-836.
75. 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 & Rehabilitation Engineering, 2016, 24(4):444-454.
76. 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 & Control, 2015, 137(10):101005.
77. 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 & Health Informatics, 2016, 20(1):166-176.
78. 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.
79. 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.
80. 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.
81. 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.
82. 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.
83. 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 & Health Informatics, 2015, 19(3):874~882.
84. 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.
85. 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 & Health Informatics, 2014, 18(4):1461-1472.
86. Ouyang G., Zhu X., Ju Z., Liu H., “Dynamical characteristics of surface EMG signals of hand grasps via recurrence plot”, IEEE Journal of Biomedical & Health Informatics, 2014, 18(1):257-265.
87. 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 & Engineering, 2012, 134(6):61012.
88. Zhu X., Ding H., “Optimality criteria for fixture layout design: a comparative study”, IEEE Transactions on Automation Science & Engineering, 2009, 6(4):658-669.
89. 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.
90. 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.
91. 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 & Acoustics, 2007, 129:441-447.
92. Zhu X., Ding H., “Computation of force-closure grasps: An iterative algorithm”, IEEE Transactions on Robotics, 2006, 22(1):172-179.
93. Zhu X., Ding H., Tso S.-K., “A pseudo distance function and its applications”, IEEE Transactions on Robotics & Automation, 2004, 20(2):pp.344-352.
94. Zhu X., Ding H., Wang M.Y., “A numerical test for the closure properties of 3-D grasps”, IEEE Transactions on Robotics & Automation, 2004, 20(3):543-549.
95. Zhu X., Ding H., Wang M.Y., “Form error evaluation: An iterative reweighted least squares algorithm”, Transactions of the ASME: Journal of Manufacturing Science & Engineering, 2004, 126(3):535-542.
96. Zhu X., Ding H., Wang J., “Grasp analysis and synthesis based on a new quantitative measure”, IEEE Transactions on Robotics & Automation, 2003, 19(6):942-953.
97. Zhu X., Wang J., “Synthesis of force-closure grasps on 3-D objects based on the Q distance”, IEEE Transactions on Robotics & Automation, 2003, 19(4):669-679.
98. Zhu X., Ding H., “Flatness tolerance evaluation: An approximate minimum zone solution”, Computer-Aided Design, 2002, 34(9):655-664.
国内期刊：
99. 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.
100. 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.
101. 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距离函数和快速扩展随机树的机械臂运动规划方法”, Scientia Sinica Technologica, 2022, 52(5), pp.773-783.
102. 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.
103. 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.
104. 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.
105. 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.
106. 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.
107. 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.
108. 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.
109. 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.
110. 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.
111. 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.／朱向阳，丁汉，钟秉林，熊有伦，“凸集之间的（伪）距离函数及其应用”，科学通报，2003, vol.48，no.10，pp.996-1004.
112. Zhu X., Ding H., Xiong Y., “Pseudo minimum translational distance between convex polyhedra (I)”, Science in China Series E: Technological Science, 2001, vol.44, no.2, pp.216-224.／朱向阳，丁汉，熊有伦，“凸多面体之间的伪最小平移距离I. 定义及其性质”，2001, 中国科学E辑，vol.31，no.2，pp.128-136.
113. 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.／朱向阳，丁汉，熊有伦，“凸多面体之间的伪最小平移距离Ⅱ. 机器人运动规划”，中国科学E辑，2001, vol.31，no.3，pp.238-244.
114. 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.／朱向阳，钟秉林，Mathew J.，“矢量集诱导度量意义下转子最大残余振动极小化”，科学通报，1999, vol.44，no.2，pp.152-155.
115. 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.／朱向阳，朱利民，钟秉林，“基于 gauge 函数的机器人无碰撞路径规划方法”，中国科学E辑，1997, vol.27，no.5，pp.453-459.
京公网安备 11010802027423号