科研成果

一、 论文 

期刊论文 

[1] T. Xu, Y. Guan, J. Liu, and X. Wu*, “Image-Based Visual Servoing of Helical Microswimmers for Planar Path Following,” IEEE Transactions on Automation Science and Engineering, vol. 17, no. 1, pp. 325-333, 2020. 

    

[2] X. Wu, J. Liu, C. Huang, M. Su, and T. Xu*, “3-D Path Following of Helical Microswimmers With an Adaptive Orientation Compensation Model,” IEEE Transactions on Automation Science and Engineering, vol. 17, no. 2, pp. 823-832, 2020. 

    

[3] J. Liu, T. Xu, S. X. Yang, and X. Wu*, “Navigation and Visual Feedback Control for Magnetically Driven Helical Miniature Swimmers,” IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 477-487, Jan. 2020, 2020. 

    

[4] X. Du*, H. Cui, T. Xu, C. Huang, Y. Wang, Q. Zhao, Y. Xu, and X. Wu*, “Reconfiguration, Camouflage, and Color‐Shifting for Bioinspired Adaptive Hydrogel‐Based Millirobots,” Advanced Functional Materials, vol. 30, no. 10, pp. 1909202, 2020. 

    

[5] D. Chen, G. Lv, S. Guo*, R. Zuo, Y. Liu, K. Zhang, Z. Su, and W. Feng, “Subsurface defect detection using phase evolution of line laser-generated Rayleigh waves,” Optics and Laser Technology, vol. 131, pp. 106410, 2020. 

    

[6] H. Xiao, D. Chen, J. Xu, and S. Guo*, “Defects identification using the improved ultrasonic measurement model and support vector machines,” NDT & E INTERNATIONAL, vol. 111, pp. 102223, 2020. 

    

[7] J. Lin, S. Feng, Y. Zhang*, Z. Yang, and Y. Zhang, “A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access,” Neurocomputing, vol. 382, pp. 52-63, 2020. 

    

[8] M. Su, T. Xu*, Z. Lai, C. Huang, J. Liu, and X. Wu, “Double-Modal Locomotion and Application of Soft Cruciform Thin-Film Microrobot,” IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 806-812, 2020. 

    

[9] 胡鸿越, 胡立坤, 刘贻达, 曹武警, 陈春杰*, “一种柔性下肢外骨骼控制策略研究,”仪器仪表学报, vol. 41, no. 3, pp. 184-191, 2020. 

    

[10] 陈继文*, 陈清朋, 胡秀龙, 冯伟, 张艳辉, 赵彦华, 于复生, “面向3D打印的码垛机械手小臂轻量化设计,” 中国工程机械学报, vol. 18, no. 1, pp. 45-50+55, 2020. 

    

[11] B. Huang, Z. Li, X. Wu*, A. Ajoudani, A. Bicchi, and J. Liu, “Coordination Control of a Dual-Arm Exoskeleton Robot Using Human Impedance Transfer Skills,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 5, pp. 954-963, 2019. 

    

[12] J. Duan, Y. Ou*, J. Hu, Z. Wang, S. Jin, and C. Xu, “Fast and Stable Learning of Dynamical Systems based on Extreme Learning Machine,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 6, pp. 1175-1185, 2019. 

    

[13] S. Xu, Y. Ou*, and X. Wu, “Optimal Sensor Placement for 3D Time-of-Arrival Target Localization,” IEEE Transactions on Signal Processing, vol. 67, no. 19, pp. 5018-5031, 2019. 

    

[14] T. Xu, J. Yu, C.-I. Vong, B. Wang, X. Wu*, and L. Zhang*, “Dynamic Morphology and Swimming Properties of Rotating Miniature Swimmers with Soft Tails,” IEEE/ASME Transactions on Mechatronics, vol. 24, no. 3, pp. 924 - 934, 2019. 

    

[15] Y. Hu, X. Wu*, P. Geng, and Z. Li, “Evolution Strategies Learning with Variable Impedance Control for Grasping Under Uncertainty,” IEEE Transactions on Industrial Electronics, vol. 66, no. 10, pp. 7788-7799, 2019. 

    

[16] S. Xu, Y. Ou*, and W. Zheng, “Optimal Sensor-Target Geometries for 3-D Static Target Localization Using Received-Signal-Strength Measurements,” IEEE Signal Processing Letters, vol. 26, no. 7, pp. 966-970, 2019. 

    

[17] Y. Liu, G. Li, H. Lu, Y. Yang, Z. Liu, W. Shang*, and Y. Shen*, “Magnetically Actuated Heterogeneous Microcapsule-Robot for the Construction of 3D Bioartificial Architectures,” ACS Applied Materials & Interfaces, vol. 2019, no. 11, pp. 25664?25673, 2019. 

    

[18] S. Jin, Z. Wang, Y. Ou*, and W. Feng, “Learning Accurate and Stable Dynamical System Under Manifold Immersion and Submersion,” IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 12, pp. 3598-3610, 2019. 

    

[19] G. Bao, L. Pan, H. Fang, X. Wu, H. Yu, S. Cai, and Y. Wan*, “Academic Review and Perspectives on Robotic Exoskeletons,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 11, pp. 2294-2304, 2019. 

    

[20] W. Shang, M. Zhu, H. Ren, and X. Wu*, “Centering of a Miniature Rotation Robot for Multi-directional Imaging under Microscopy,” IEEE Transactions on Nanotechnology, vol. 19, pp. 17-20, 2019. 

    

[21] C. Huang, T. Xu*, J. Liu, L. Manamanchaiyaporn, and X. Wu, “Visual Servoing of Miniature Magnetic Film Swimming Robots for 3D Arbitrary Path Following,” IEEE Robotics and Automation Letters, vol. 4, no. 4, pp. 4185-4191, 2019. 

    

[22] S. Xu, Y. Ou*, J. Duan, X. Wu, W. Feng, and M. Liu, “Robot Trajectory Tracking Control Using Learning from Demonstration Method,” Neurocomputing, vol. 338, pp. 249-261, 2019. 

    

[23] X. Wu, J. Liu, Y. Zhou*, Q. Lv, and C. Hu, “Movement Control and Attitude Adjustment of Climbing Robot on Flexible Surfaces,” IEEE Transactions on Industrial Electronics, vol. 65, no. 3, pp. 2618-2628, 2018. 

    

[24] W. He*, Z. Yan, Y. Sun, Y. Ou, and C. Sun, “Neural-Learning-Based Control for a Constrained Robotic Manipulator with Flexible Joints,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 12, pp. 5993-6003, 2018. 

    

[25] X. Wu*, D. Liu, M. Liu, C. Chen, and H. Guo, “Individualized Gait Pattern Generation for Sharing Lower Limb Exoskeleton Robot,” IEEE Transactions on Automation Science and Engineering, vol. 15, no. 4, pp. 1459-1470, 2018. 

    

[26] S. Xu*, K. Do?an?ay, and H. Hmam, “3D AOA target tracking using distributed sensors with multi-hop information sharing,” Signal Processing, vol. 144, pp. 192-200, 2018. 

    

[27] T. Li, Y. Wang, R. Hong, M. Wang, and X. Wu*, “pDisVPL: Probabilistic Discriminative Visual Part Learning for Image Classification,” IEEE MultiMedia, vol. 22, no. 4, pp. 34-45, 2018. 

    

[28] Y. Zhou, Z. Li, and X. Wu*, “The Multiobjective Based Large-Scale Electric Vehicle Charging Behaviours Analysis,” Complexity, vol. 2018, pp. 1968435, 2018. 

    

[29] X. Yan, Q. Zhou, M. Vincent, Y. Deng, J. Yu, T. Xu, T. Tang, L. Bian, Y.-x. Wangle, K. Kostarelo, and L. Zhang*, “Multifunctional biohybrid magnetite microrobots for imaging-guided therapy,” Science Robotics, vol. 2, no. 12, pp. 1155, 2017. 

    

[30] J. Yu, T. Xu, Z. Lu, C. I. Vong, and L. Zhang*, “On-Demand Disassembly of Paramagnetic Nanoparticle Chains for Microrobotic Cargo Delivery,” IEEE Transactions on Robotics, vol. 33, no. 5, pp. 1213-1225, 2017. 

    

[31] Y. Zhang*, S. Cha, W. Feng, and G. Xu*, “Energy Sources for Road Transport in the Future,” ACS Energy Letters, vol. 2, no. 6, pp. 1334–1336, 2017. 

    

[32] X. Ji, J. Cheng*, D. Tao, X. Wu, and W. Feng, “The spatial Laplacian and temporal energy pyramid representation for human action recognition using depth sequences,” Knowledge-Based Systems, vol. 122, pp. 64-74, 2017. 

    

[33] H. Guo, X. Wu*, and W. Feng, “Multi-stream Deep Networks for Human Action Recognition with Sequential Tensor Decomposition,” Signal Processing, vol. 140, pp. 198-206, 2017. 

    

[34] C. Wang, K. Li, G. Liang, H. Chen, S. Huang, and X. Wu*, “A Heterogeneous Sensing System-Based Method for Unmanned Aerial Vehicle Indoor Positioning,” Sensors, vol. 17, no. 8, pp. 1842-1859, 2017. 

 

[35] X. Zhu, C. Qiu, F. Deng*, and Y. Ou, “Cloud-based Real-time Outsourcing Localization for a Ground Mobile Robot in Large-scale Outdoor Environments: Cloud-based Real-time Outsourcing Localization,” Journal of Field Robotics, vol. 34, no. 7, pp. 1313-1331, 2017. 

    

[36] Y. Zhang, Y. Ou*, X. Wu, and Y. Zhou, “Resilient Dissipative Dynamic Output Feedback Control for Uncertain Markov Jump Lur'e Systems with Time-varying Delays,” Nonlinear Analysis: Hybrid Systems, vol. 24, no. 2017, pp. 13-27, 2017. 

    

[37] 郭会文, 吴新宇, 苏士娟, 傅睿卿, “移动相机下基于三维背景估计的运动目标检测,” 仪器仪表学报, vol. 38, no. 10, pp. 2573-2580, 2017. 

    

[38] 张艳辉, 徐坤, 郑春花, 冯伟, and 徐国卿, “智能电动汽车信息感知技术研究进展,” 仪器仪表学报, vol. 38, no. 4, pp. 794-805, 2017. 

    

[39] 陈春杰, 张邵敏, 王. 灿, 吴桂忠, and 吴新宇, “基于稳定阈度分析的外骨骼动态步长规划方法,” 仪器仪表学报, vol. 38, no. 3, pp. 523-529, 2017 

    

[40] H. Guo, X. Wu*, S. Cai, N. Li, J. Cheng, and Y.-L. Chen, “Quaternion Discrete Cosine Transformation Signature Analysis in Crowd Scenes for Abnormal Event Detection,” Neurocomputing, vol. 204, pp. 106-115, 2016. 

    

[41] Y.-L. Chen, X. Wu*, T. Li, J. Cheng, Y. Ou, and M. Xu, “Dimensionality Reduction of Data Sequences for Human Activity Recognition,” Neurocomputing, vol. 210, pp. 294-302, 2016. 

    

[42] T. Li*, B. Ni, X. Wu, Q. Gao, Q. Li, and D. Sun, “On Random Hyper-Class Random Forest for Visual Classification,” Neurocomputing, vol. 172, no. 8, pp. 281-289, 2016. 

    

[43] Y. Zhou*, G. Jiang, and Y. Lin, “A novel finger and hand pose estimation technique for real-time hand gesture recognition,” Pattern Recognition, vol. 49, pp. 102-114, 2016. 

    

[44] T. Zhang*, X. Wang, L. Jiang, X. Wu, W. Feng, D. Zhou, and H. Liu, “Biomechatronic Design and Control of an Anthropomorphic Artificial Hand for Prosthetic Applications,” Robotica, vol. 34, pp. 2291-2308, 2016. 

    

[45] T. Zhang, L. Jiang*, S. Fan, X. Wu, and W. Feng, “Development and experimental evaluation of multi-fingered robot hand with adaptive impedance control for unknown environment grasping,” Robotica, vol. 34, pp. 1168-1185, 2016. 

    

[46] W. Sheng, Y. Matsuoka, Y. Ou, M. Liu, and F. Mastrogiovanni, “Human Aware Home Automation,” IEEE Transactions on Automation Science and Engineering, vol. 2015, 2015. 

    

[47] T. Zhang, L. Jiang, X. Wu, W. Feng, D. Zhou, and H. Liu, “Fingertip Three-Axis Tactile Sensor for Multifingered Grasping,” IEEE/ASME Transactions on Mechatronics, vol. 20, no. 4, pp. 1875-1885, 2015. 

    

[48] H. Chen, C. Wang, X. Li, and D. Sun, “Transportation of Multiple Biological Cells through Saturation-controlled Optical Tweezers in Crowded Microenvironments,” IEEE/ASME Transactions on Mechatronics, vol. 2015, 2015. 

    

[49] Y. Zhang, Y. Ou*, Y. Zhou, X. Wu, and W. Sheng, “Observer-based l2–l∞ control for discrete-time nonhomogeneous Markov jump Lur?e systems with sensor saturations,” Neurocomputing, vol. 162, pp. 141-149, 25 August 2015, 2015. 

    

[50] N. Li, X. Wu*, D. Xu, H. Guo, and W. Feng, “Spatio-temporal context analysis within video volumes for anomalous-event detection and localization,” Neurocomputing, vol. 155, pp. 309-319, 2015. 

 

会议论文 

[1] L. Xia, Y. Feng, F. Chen, X. Wu*, "A Bio-Signal Enhanced Adaptive Impedance Controller for Lower Limb Exoskeleton", IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 31 May - 31 August, 2020. 

    

[2] S. Jin, Z. Wang, Y. Ou* and Y. Zhou, "Improved Learning Accuracy for Learning Stable Control from Human Demonstrations", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),Macau, China, China,3-8 Nov. 2019,2679-2685. 

    

[3] Q. Wu, H. Guo, X. Wu*, Y. Zhou and N. Li, Fast Action Localization Based on Spatio-Temporal Path Search, IEEE International Conference on Image Processing (ICIP), Beijing, China, 17-20 Sept. 2017,3350-3354. 

    

[4] L. Manamanchamarorn, T. Xu* and X. Wu,The Hybrid System with a Large Workspace for Magnetic Micromanipulation within the Human Head, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 24-28 Sept. 2017,401-407. 

    

[5] Y. Guan, T. Xu*, J. Liu and X. Wu, Image-based Visual Servoing of Helical Microswimmers for Arbitrary Path Following at Low Reynolds Numbers, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 24-28 Sept. 2017,1883-1888. 

    

[6] W. Xu*, Z. Hu, Y. Zhang, Z. Wang, X. Wu, "A Practical and Effective Method for Identifying the Complete Inertia Parameters of Space Robots", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 28 Sept.-2 Oct. 2015, 5435-5440. 

    

[7] Y. Gu, W. Sheng, and Y. Ou, "Automated Assembly Skill Acquisition through Human Demonstration," in IEEE International Conference on  Robotics and Automation(ICRA), Hong Kong, China, 2014, pp. 6313-6318. 

    

[8] N. Li, H. Guo, D. Xu, and X. Wu, "Multi-Scale Analysis of Contextual Information Within Spatio-Temporal Video Volumes for Anomaly Detection," in IEEE International Conference on Image Processing(ICIP), Paris, France, 2014, pp. 2363-2367. 

    

[9] J. Xin, D. Dai, Z. Li, Y. Ou, G. Xu, and Y. Xu, "A Cost-Effective Vision Based Method For Workpiece Localization Using Kinect," in Internatiooal Confernece on Robotics and Automation (ICRA), Hong Kong, China, 2014, pp. 1-5. 

    

[10] G. Chen, Y. Liu, R. Fu, J. Sun, X. Wu, and Y. Xu, "Rubbot: Rubbing on Flexible Loose Surface," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, 2013, pp. 2303 - 2308. 

    

[11] D. Xu, Y.-L. Chen, X. Wu, W. Feng, H. Qian, and Y. Xu, "A Novel Hand Posture Recognition System Based on Sparse Representation with Local and Global Features Using Color and Depth Images " in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, 2013, pp. 3765-3770. 

    

[12] D. Xu, X. Wu, D. Song, N. Li, Y. Chen, "Hierarchical activity discovery within spatio-temporal context for video anomaly detection," IEEE International Conference on Image Processing (ICIP), Melbourne, VIC, Australia, 15-18 Sept. 2013, 3597-3601. 

    

[13] Y. Sun, N. Ding, H. Qian, Y. Xu, "A Robot for Classifying Chinese Calligraphic Types and Styles," IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, May 6-10, 2013, 4263-4269. 

    

[14] W. Sheng, Y. Ou, D. Tran, E. Tadesse, M. Liu, and G. Yan, "An Integrated Manual and Autonomous Driving Framework based on Driver Drowsiness Detection," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, 2013, pp. 4376-4381. 

    

[15] W. Li, D. Song, "Automatic Bird Species Detection Using Periodicity of Salient Extremities," IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, May 6-10, 2013, 5775-5780. 

   

 

二、 专利 

[1] 基于助力外骨骼机器人的运动状态判别方法及系统,发明专利,专利号:ZL201611270182.X 

    

[2] 外骨骼机器人线缠绕驱动系统发明专利,专利号:ZL201610790483.9; 

    

[3] 负重外骨骼机器人脱离装置及脱离方法,发明专利,专利号:ZL201410117846.3; 

    

[4] 可穿戴下肢外骨骼机器人发明专利,专利号:ZL201610790485.8; 

    

[5] 一种外骨骼机器人髋关节、外骨骼机器人及其控制方法,发明专利,专利号:ZL201610346209.2; 

    

[6] 一种家庭服务机器人,发明专利,专利号:ZL201610312630.1; 

    

[7] 一种获取动力电池寿命数据的方法、装置、计算机设备及介质,发明专利,申请号:CN202010306169.5; 

    

[8] 电动车辆能量管理方法、电动车辆能量管理装置及服务器,发明专利,申请号:CN202010413569.6; 

    

[9] 在线软钎焊视觉伺服控制方法及系统,发明专利,申请号:CN201911288481.X; 

    

[10] 一种变压器的柔性压阻传感器的制备方法以及一种变压器,发明专利,申请号:CN201911287456.X; 

    

[11] 柔性传感器制造设备和柔性传感器的制作方法,发明专利,申请号:CN201911260090.7; 

    

[12] 一种在线超声成像检测装置,发明专利,申请号:CN201911102907.8; 

    

[13] 扫描超声检测系统,发明专利,申请号:CN201911002455.6; 

    

[14] 一种驱控一体机以及机器人驱控系统,发明专利,申请号:CN201910755627.0; 

    

[15] 可穿戴导航设备及导航方法,发明专利,专利号:ZL201810753537.3; 

    

[16] 混合磁场装置,发明专利,申请号:CN201910662536.2; 

    

[17] 参数优化方法、终端设备以及计算机存储介质,发明专利,申请号:CN201910760229.8; 

    

[18] 一种基于多传感器融合的生命搜寻方法以及系统,发明专利,申请号:CN201910161607.0; 

    

[19] 无人机的语音控制方法、装置、系统及可读存储介质,发明专利,申请号:CN201910179091.2; 

    

[20] 四旋翼无人机的控制方法、装置、设备及可读介质,发明专利,专利号:ZL201910172135.9; 

    

[21] 机器人的模仿学习方法、装置、机器人及存储介质,发明专利,专利号:ZL201711122785.X; 

    

[22] 一种腔体滤波器智能调谐算法及使用该算法的调谐方法,发明专利,专利号:ZL201511031907.5; 

    

[23] 机器人的导航方法及装置,发明专利,专利号:ZL201511016707.2; 

    

[24] 贝叶斯网络学习方法、智能设备及存储装置,发明专利,申请号:CN201910415385.0; 

    

[25] 基于光场信息的三维重建方法及系统,发明专利,专利号:ZL201510482409.6; 

    

[26] 3D显示设备和3D显示系统,发明专利,专利号:ZL201310754759.4; 

    

[27] 核电站爬壁机器人系统及检测蒸汽发生器二次侧的方法,发明专利,专利号:ZL201410213654.2; 

    

[28] 用于核电站蒸汽发生器二次侧的爬壁机器人路径规划方法,发明专利,专利号:ZL201410213493.7。