2005 - 2014 5845cc威斯尼斯人机械电子工程专业博士
2000 - 2003 5845cc威斯尼斯人机械电子工程专业硕士
1996 - 2000 5845cc威斯尼斯人机械工程专业学士

2015至今 5845cc威斯尼斯人机器人研究所 副研究员
2005 - 2014 5845cc威斯尼斯人机器人研究所 讲师
2003 - 2005 5845cc威斯尼斯人机器人研究所 助理工程师

2012 加拿大Concordia大学机械工程系 访问科学家
2007-2008 中国宜兴环保科技工业园科技发展局 副局长

1）机器人学
2）生机电一体化智能系统

2022 – 2025，国家自然科学基金面上项目，面向连续运动解码的神经信号驱动肌骨模型研究，在研，负责人
2020 – 2022，上海市卫健委专项课题，多模式智能按摩机器人研发，在研，负责人
2019 – 2022，国家重点研发计划“智能机器人”专项课题，运动-感觉双向神经通路重建，在研，负责人
2018 – 2020，国家自然科学基金共融机器人重大研究计划培育项目，基于运动单元动作电位序列的肌电解码与假肢连续运动控制，结题，负责人
2018 – 2019，工信部智能制造专项，年产2万吨超细旦氨纶纤维智能制造新模式应用，结题，课题负责人
2017 – 2019，上海市科委基础重点项目，面向人机双向交互的电刺激编码与触觉反馈技术，结题，负责人
2015 – 2017，国家科技支撑项目子课题，机器人作业系统协调运动控制研究，结题，负责人
2014 – 2017，国家自然科学基金项目，多模式人体刺激与生机电仿人假肢手的增强式生机接口研究，结题，负责人
2009 – 2011， 国家自然科学基金项目，高密度玻璃覆晶（COG）封装的凸点植球（POB）方法研究及应用，结题，负责人
2011 – 2014，上海市科委重点攻关项目，实体瘤腹膜播散腹腔温热灌注治疗方法与设备研发，交大负责人
2015 – 2017，张江管委会重点专项课题，航拍用无人机原理样机开发，结题，交大负责人
2021 – 2026，企业委托（汇禾医疗），5845cc威斯尼斯人-汇禾医疗机器人联合研发中心，在研，负责人
2021 – 2023，横向委托（西安电子科大），灵巧手指尖抓取识别与机械臂接近觉感知研究，在研，负责人
2021 – 2023，企业委托（中国天楹），混合可回收物机器人智能分拣技术，在研，负责人
2020 – 2021，企业委托（一汽模具），红旗智能监测系统外委项目，结题，负责人
2015 – 2016，企业委托（上海坤浩），脉象采集与远端复现设备研发项目，结题，负责人
2017 – 2019，企业委托（中国天楹），垃圾焚烧炉自动焊装线设计与优化，结题，负责人
2011 – 2013，企业委托（宁夏路桥），预应力构件张拉自动控制系统研发项目，结题，负责人

1) L. Yao, X. Sheng, N. Mrachacz-Kersting, X. Zhu, D. Farina, and N. Jiang, "Performance of Brain–Computer Interfacing Based on Tactile Selective Sensation and Motor Imagery," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, pp. 60-68, 2018.
2) L. Yao, X. Sheng, N. Mrachacz-Kersting, X. Zhu, D. Farina, and N. Jiang, "Decoding Covert Somatosensory Attention by a BCI System Calibrated With Tactile Sensation," IEEE Transactions on Biomedical Engineering, vol. 65, pp. 1689-1695, 2018.
3) X. Zhu, J. Liu, D. Zhang, X. Sheng, and N. Jiang, "Cascaded Adaptation Framework for Fast Calibration of Myoelectric Control," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, pp. 254-264, 2017.
4) L. Yao, X. Sheng, D. Zhang, N. Jiang, N. Mrachacz-Kersting, X. Zhu, and D. Farina, "A Stimulus-Independent Hybrid BCI Based on Motor Imagery and Somatosensory Attentional Orientation," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, pp. 1674-1682, 2017.
5) L. Yao, X. Sheng, D. Zhang, N. Jiang, D. Farina, and X. Zhu, "A BCI System Based on Somatosensory Attentional Orientation," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, pp. 81-90, 2017.
6) X. Shu, L. Yao, X. Sheng, D. Zhang, and X. Zhu, "Enhanced Motor Imagery-Based BCI Performance via Tactile Stimulation on Unilateral Hand," Frontiers in Human Neuroscience, vol. 11, 2017-December-01 2017.
7) L. Pan, D. Zhang, N. Jiang, X. Sheng, and X. Zhu, "Transcranial direct current stimulation versus user training on improving online myoelectric control for amputees," Journal of Neural Engineering, vol. 14, p. 046019, 2017.
8) W. Guo, X. Sheng, H. Liu, and X. Zhu, "Toward an Enhanced Human-Machine Interface for Upper-Limb Prosthesis Control With Combined EMG and NIRS Signals," IEEE Transactions on Human-Machine Systems, vol. 47, pp. 564-575, 2017.
9) W. Guo, X. Sheng, H. Liu, and X. Zhu, "Mechanomyography Assisted Myoeletric Sensing for Upper-Extremity Prostheses: A Hybrid Approach," IEEE Sensors Journal, vol. 17, pp. 3100-3108, 2017.
10) J. Liu, X. Sheng, D. Zhang, N. Jiang, and X. Zhu, "Towards Zero Retraining for Myoelectric Control Based on Common Model Component Analysis," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, pp. 444-454, 2016.
11) J. Liu, X. Sheng, D. Zhang, J. He, and X. Zhu, "Reduced Daily Recalibration of Myoelectric Prosthesis Classifiers Based on Domain Adaptation," IEEE journal of biomedical and health informatics, vol. 20, pp. 166-176, 2016.
12) L. Hua, X. Sheng, and X. Zhu, "High-performance transmission mechanism for robotic applications," Mechanism and Machine Theory, vol. 105, pp. 176-184, 2016.
13) W. Guo, X. Sheng, H. Liu, and X. Zhu, "Development of a Multi-Channel Compact-Size Wireless Hybrid sEMG/NIRS Sensor System for Prosthetic Manipulation," IEEE Sensors Journal, vol. 16, pp. 447-456, 2016.
14) L. Yao, J. Meng, X. Sheng, D. Zhang, and X. Zhu, "A novel calibration and task guidance framework for motor imagery BCI via a tendon vibration induced sensation with kinesthesia illusion," Journal of Neural Engineering, vol. 12, p. 016005, 2015.
15) X. Shu, L. Yao, J. Meng, X. Sheng, and X. Zhu, "Visual Stimulus Background Effects on SSVEP-Based BCI Towards a Practical Robot Car Control," International Journal of Humanoid Robotics, p. 1550014, 2015.
16) L. Pan, D. Zhang, X. Sheng, and X. Zhu, "Improving myoelectric control for amputees through transcranial direct current stimulation," IEEE Transactions on Biomedical Engineering, vol. 62, pp. 1927-1936, 2015.
17) L. Pan, D. Zhang, N. Jiang, X. Sheng, and X. Zhu, "Improving robustness against electrode shift of high density EMG for myoelectric control through common spatial patterns," Journal of NeuroEngineering and Rehabilitation, vol. 12, pp. 1-16, 2015.
18) J. Meng, L. Yao, X. Sheng, D. Zhang, and X. Zhu, "Simultaneously Optimizing Spatial Spectral Features Based on Mutual Information for EEG Classification," Biomedical Engineering, IEEE Transactions on, vol. 62, pp. 227-240, 2015.
19) J. He, D. Zhang, X. Sheng, S. Li, and X. Zhu, "Invariant Surface EMG Feature Against Varying Contraction Level for Myoelectric Control Based on Muscle Coordination," IEEE Journal of Biomedical and Health Informatics, vol. 19, pp. 874-882, 2015.
20) J. He, D. Zhang, N. Jiang, X. Sheng, D. Farina, and X. Zhu, "User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control," Journal of Neural Engineering, vol. 12, p. 046005, 2015.
21) L. Yao, J. Meng, D. Zhang, X. Sheng, and X. Zhu, "Combining Motor Imagery With Selective Sensation Toward a Hybrid-Modality BCI," IEEE Transactions on Biomedical Engineering, vol. 61, pp. 2304-2312, 2014.
22) X. Sheng, L. Hua, D. Zhang, and X. Zhu, "Design and Testing of a Self-Adaptive Prosthetic Finger with a Compliant Driving Mechanism," International Journal of Humanoid Robotics, vol. 11, p. 1450026, 2014.
23) L. Pan, D. Zhang, J. Liu, X. Sheng, and X. Zhu, "Continuous estimation of finger joint angles under different static wrist motions from surface EMG signals," Biomedical Signal Processing and Control, vol. 14, pp. 265-271, 2014.
24) J. Meng, X. Sheng, D. Zhang, and X. Zhu, "Improved Semisupervised Adaptation for a Small Training Dataset in the Brain-Computer Interface," IEEE Journal of Biomedical and Health Informatics, vol. 18, pp. 1461-1472, 2014.
25) J. Liu, D. Zhang, X. Sheng, and X. Zhu, "Quantification and solutions of arm movements effect on sEMG pattern recognition," Biomedical Signal Processing and Control, vol. 13, pp. 189-197, 2014.
26) S. Li, X. Sheng, H. Liu, and X. Zhu, "Design of a myoelectric prosthetic hand implementing postural synergy mechanically," Industrial Robot: An International Journal, vol. 41, pp. 447-455, 2014.
27) S. Li, J. He, X. Sheng, H. Liu, and X. Zhu, "Synergy-Driven Myoelectric Control for EMG-Based Prosthetic Manipulation: A Case Study," International Journal of Humanoid Robotics, vol. 11, p. 1450013, 2014.
28) L. Jia, X. Sheng, Z. Xiong, Z. Wang, and H. Ding, "Particle on Bump (POB) technique for ultra-fine pitch chip on glass (COG) applications by conductive particles and adhesives," Microelectronics reliability, vol. 54, pp. 825-832, 2014.
29) L. Yao, J. Meng, D. Zhang, X. Sheng, and X. Zhu, "Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation," PLoS ONE, vol. 8, p. e64784, 2013.
30) X. Xu, Z. Xiong, X. Sheng, J. Wu, and X. Zhu, "A new time synchronization method for reducing quantization error accumulation over real-time networks: Theory and experiments," IEEE Transactions on Industrial Informatics, vol. 9, pp. 1659-1669, 2013.
31) X. Sheng, L. Jia, Z. Xiong, Z. Wang, and H. Ding, "ACF-COG interconnection conductivity inspection system using conductive area," Microelectronics reliability, vol. 53, pp. 622-628, 2013.
32) X. Sheng, L. Jia, Z. Xiong, and H. Ding, "An automatic bump detecting system for LCD COG module using fuzzy reasoning," International Journal of Fuzzy Systems, vol. 14, pp. 296-304, 2012.

1. 课程名称：设计与制造II（ME209）；授课对象：本科生；学时数：64；学分：4

1） 袁鑫，熊振华，盛鑫军，贾磊，朱向阳，基于分水岭算法和形态学标记的图像分割方法，发明专利，授权号：ZL201410136163.2
2） 朱向阳，李顺冲，盛鑫军，一种适用于欠驱动机械手的抓取仿真系统，发明专利，授权号：ZL201510261075.X
3） 张建荣，言勇华，朱向阳，盛鑫军，熊振华，一种牛奶包装箱自动抓取机构，发明专利，授权号：ZL201510213941.8
4） 熊振华，袁鑫，盛鑫军，朱向阳，基于分水岭算法和最小生成树的分布均匀性评估方法，发明专利，授权号：ZL201410576808.4
5） 熊振华，袁鑫，盛鑫军，朱向阳，批量微液滴及微结构的电流体动力制备装置和方法，发明专利，授权号：ZL201510107946.2
6） 朱向阳，华磊，盛鑫军，一种具有高驱动速度和大驱动力的机械传动装置，发明专利，授权号：ZL201510232371.7
7） 朱向阳，华磊，盛鑫军，一种三自由度仿人手腕装置，发明专利，授权号：ZL201510249639.8
8） 朱向阳，华磊，盛鑫军，一种两自由度仿人手腕装置，发明专利，授权号：ZL201510249655.7
9） 熊振华，袁鑫，盛鑫军，朱向阳，一种微纳米颗粒分散分布的分析评估方法，发明专利，授权号：ZL201410138109.1
10） 盛鑫军，王腾，朱向阳，杨秋蒙，腹腔温热化疗循环管路装置，发明专利，授权号：ZL201410008370.X
11） 朱向阳，郭伟超，姚鹏飞，盛鑫军，一种表面肌电和近红外光谱联合采集装置，发明专利，授权号：ZL201310585071.8
12） 朱向阳，华磊，盛鑫军，具有形状自适应的欠驱动机械手指，发明专利，授权号：ZL201410046730.5
13） 朱向阳，姚鹏飞，邱中一，郭伟超，盛鑫军，一种基于近红外传感器的肌群信息检测装置，发明专利，授权号：ZL201310585091.5
14） 朱向阳，方银峰，刘洪海，盛鑫军，一种可用于获取四肢表面肌电信号的可佩戴电极阵列，发明专利，授权号：ZL201310164855.3
15） 朱向阳，郭伟超，盛鑫军，陈星羽，张定国，佩戴式多通道表面肌电信号采集臂环，发明专利，授权号：ZL201310241598.9
16） 朱向阳，孟建军，盛鑫军，段仁全，少通道下运动想象脑电特征的提取方法，发明专利，授权号：ZL201310309826.1
17） 许雄，熊振华，朱向阳，盛鑫军，基于IEEE1588的同步系统及其同步方法，发明专利，授权号：ZL201110033465.3
18） 许雄，熊振华，朱向阳，盛鑫军，丁懋卿，基于IEEE1588精确时钟同步协议系统及其同步方法，发明专利，授权号：ZL2010105429833
19） 付艳玲，朱向阳，杨秋蒙，盛鑫军，术中腹腔温热化疗仪，发明专利，授权号：ZL201010246182.2
20） 黄淦，李顺冲，盛鑫军，朱向阳，基于表面肌电信号的手写识别方法，发明专利，授权号：ZL200910310228.X
21） 吴建华，熊振华，丁汉，盛鑫军，刘佳，朱向阳，基于继电反馈的伺服系统控制方法，发明专利，授权号：ZL2010101318418

2010至今 IEEE Member, IEEE RAS Member, IEEE EMBS Member
2017至今 中国机械工程学会机器人分会会员

2021，国家课程思政教学团队——“设计与制造II”课程团队，排名第3
2020，无创神经接口设计理论与方法，高等学校科学研究优秀成果自然科学一等奖，排名第2
2019，协作型工业机器人与柔性工件精准作业技术，上海市科技进步一等奖，排名第5
2018，灵巧假肢与双向生机接口技术，军委科技委快响小组主办的首届神经义肢技术竞赛上肢组第3名
2017，第一届“源创杯”颠覆性技术创新创意大赛优胜奖
2016，灵巧假肢及其神经信息通道重建技术，国家技术发明二等奖，排名第5
2015，灵巧假肢与高性能生机接口技术，上海市技术发明一等奖，排名第4
2013，数控设备的高速高精运动控制关键技术及其应用，上海市技术发明一等奖，排名第2
2013，The 6th International Conference on Intelligent Robotics and Applications (ICIRA 2013)最佳论文奖
2009，Industrial Robot最佳论文奖-Manufacturing Award for “Most significant development in robot-assisted manufacturing”
2007，工业机器人作业系统的关键技术研究、开发与应用，国家科技进步二等奖，排名第10
2006，工业机器人作业系统开发的关键技术与应用，上海市科技进步一等奖，排名第10
2005，基于嵌入式网络的远程监测技术，上海市科技进步二等奖，排名第5