张娟娟

2020年05月21日 14:55  点击:[]


基本信息

                       

姓名:张娟娟

性别:

所属部门:机器人与信息自动化研究所

职称:教授

学历:博士

所学专业:电子电气工程/机械工程                       

办公电话:022-23503960-805

电子邮件:juanjuanzhang@nankai.edu.cn

实验室网站:http://juanjuanzhang.net/hrigl.html 

研究方向:外骨骼机器人/医疗及辅助机器人/人机物理交互控制及优化

个人简介:fun88官网体育、机器人与信息自动化研究所及前沿交叉公司教授、博士生导师,国家级青年人才,fun88官网体育“百名青年学科带头人培养计划”入选者,现任 《Nature Communications Engineering》编委。于2016年获卡耐基梅隆大学机械工程博士学位,2017年加入fun88官网体育,并担任医疗与辅助机器人团队—人机交互步态实验室负责人。其开创性工作聚焦 “人在环中”的外骨骼优化控制,奠定了该理念在人机交互领域的基础框架地位:2017年以第一作者在 《Science》正刊发表论文,首次稳定实现外骨骼在多用户中的有效辅助,性能达当时领域最佳成绩的228%,是该刊辅助机器人领域首篇非综述研究论文;2024年在 《Nature》正刊进一步发表外骨骼突出成果;2026年初团队将“人在环中”性能再次提升16倍,成果发表于 《Nature Communications Engineering》。此外,他在 IEEE Transactions on MechatronicsIEEE TNSREIEEE TROIEEE TII 等顶级期刊发表论文50余篇,主持及参与6项国家级项目(包括“智能机器人”国家重点研发计划课题及国家自然科学基金项目),并多次荣获EI国际会议最佳论文奖

招生

人机交互步态实验室正在招收2026年9月入学的博士生。申请要求:满足fun88官网体育申请考核制博士招生要求。申请截止时间:2026年4月。同时招收2027年9月入学的硕博研究生。专业方向:自动化、电子、机械、生物工程、计算机等,从事研究方向:人机物理交互控制,人体动力学,外骨骼机器人,医疗辅助机器人等。如有意向,请电邮juanjuanzhang@nankai.edu.cn咨询,同时欢迎提前联系实验室同学了解情况(http://juanjuanzhang.net/people.html)

工作经历

202001-现在 fun88官网体育人 工智能公司 教授

2018005-201912 fun88官网体育 fun88官网体育 副教授

201702-201805 fun88官网体育 计算机与控制工程公司 副教授

201806-201610 美国卡耐基梅隆大学 机械工程系 博后

201008-201608 美国卡耐基梅隆大学 机械工程系 硕士/博士

人机交互步态实验室

3CBC1人机交互步态实验室主要致力于通过设计、控制、仿真、及实验结合的方法,优化人机物理交互,提升运动辅助、康复机器人,特别是下肢相关系统的性能。此外,本实验室着力于医疗康复机器人、人体动力学、步态分析等延伸领域的研究。





14D82

外骨骼系统代表性成果示例

“人在环中”代表性成果示例

1B0D8

实验室步态分析平台设备(跑台、动捕、肌电、惯导、心肺功能仪等)


辅助测试平台场景示例1

辅助测试平台场景示例2



辅助测试平台场景示例3:快速人在环中


部分著作

Ÿ Yuan H, Zhang J, Han J. Low Computational Overhead Tube-based MPC Scheme for Reliable Path Following of Articulated Continuum Robots. ENGINEERING mechanical engineering. Published online 2026.

Ÿ Yuan H, Jing Z, He Y, Han J, Zhang J. Integrated tip tracking and whole-body collision avoidance for multi-segment continuum robots based on real-time shape reconstruction. Biomimetic Intelligence and Robotics. Published online March 2026:100323. doi:10.1016/j.birob.2026.100323

Ÿ Yuan H, Jing Z, He Y, Han J, Zhang J. Hybrid Offline–Online Configuration Planning Approach for Continuum Robots Based on Real-Time Shape Estimation. Sensors. 2026;26(4):1129. doi:10.3390/s26041129

Ÿ Yin W, Jing Z, Han J, Zhang J. A Comparison of Optimized and Stride-Wise Adaptive Control on the Biomechanical Effects of Personalized Ankle Exoskeleton Assistance During High-Speed Walking. Journal of Biomechanical Engineering. 2026;148(3):031009. doi:10.1115/1.4070651

Ÿ Yin W, Ding J, Wang L, Jing Z, Han J, Zhang J. A Personalized Lightweight Framework for Kinematic and Dynamic Estimation in Exoskeleton-Assisted Locomotion Under Varying Walking Conditions. IEEE Trans Instrum Meas. 2026;75:1-14. doi:10.1109/TIM.2026.3654730

Ÿ Han J, Yin W, Song Y, Jing Z, Han J, Zhang J. A Novel Cable-Tightness-Based Control Strategy With High-Accuracy and Seamless Gait Assistance for Cable-Driven Exoskeletons. IEEE Robot Autom Lett. Published online 2026:1-8. doi:10.1109/LRA.2026.3666390

Ÿ Ding J, Wang L, Chen J, …, Zhang J.  A Lightweight Compact Cable-Driven Hip Exoskeleton with High Torque Capacity. IEEE Robotics and Automation Letters. Published online 2026.

Ÿ Yuan H, Zhang J. Closed-Loop Trajectory Tracking Control for Continuum Robots: An MPC-based Approach. In: 2025 10th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE; 2025:723-727. doi:10.1109/ICSP65755.2025.11086984

Ÿ Yuan H, Zhang J. A Hybrid Offline-Online Cooperative Approach to Efficient Trajectory Planning for Snake-Arm Robot. In: 2025 IEEE 8th International Conference on Mechatronics and Computer Technology Engineering (MCTE). IEEE; 2025:214-218. doi:10.1109/MCTE67374.2025.11213533

Ÿ Yin W, Jing Z, Ding J, Han J, Han J, Zhang J. Stride-Wise Adaptive Assistance Strategy for Ankle Exoskeleton Under Varying Walking Conditions. IEEE Trans Neural Syst Rehabil Eng. 2025;33:3488-3497. doi:10.1109/TNSRE.2025.3602098

Ÿ Song Y, Han J, Yin W, Han J, Zhang J. Evaluation of a Supportive Lower-Limb Exoskeleton for Reducing Knee Contact Force During Walking. In: 2025 44th Chinese Control Conference (CCC). IEEE; 2025:4721-4726. doi:10.23919/CCC64809.2025.11179282

Ÿ Peng Y, Zhang F, Wang L, Han J, Zhang J. Exoskeleton assistance optimization for Charcot-Marie-Tooth patients based on customized forward predictive simulation. Computer Methods in Biomechanics and Biomedical Engineering. Published online October 5, 2025:1-10. doi:10.1080/10255842.2025.2566963

Ÿ Liu X, Yin W, Ding J, …, Zhang J. Surface Electromyography-Based Knee Joint Angle Prediction Using Temporal Alignment-Optimized Long Short-Term Memory. In: 2025 4th International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). IEEE; 2025:1754-1759. doi:10.1109/ICICML67980.2025.11333733

Ÿ Li Z, Han J, Zhang J. Application of Improved nnU-Net in MRI Image Segmentation of Breast Tumors. In: 2025 5th International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA). IEEE; 2025:196-199. doi:10.1109/CAIBDA65784.2025.11183463

Ÿ Jing Z, Han H, Han J, Zhang J. Effect of Vest Load Carriage on Cardiometabolic Responses with Load Position, Load Mass, and Walking Conditions for Young Adults. Bioengineering. 2025;12(2):202. doi:10.3390/bioengineering12020202

Ÿ Chen J, Yin W, Ding J, …, Zhang J. Interaction-based rapid heuristic optimization of exoskeleton assistance during walking. Commun Eng. 2025;5(1):19. doi:10.1038/s44172-025-00574-4

Ÿ Bian Q, Yin W, Han J, Han J, Zhang J. Tuning the Magnitude and Timing of Exoskeleton Assistance using a Proportional-Joint-Moment Controller Improves Human Walking Performance. In: 2025 5th International Conference on Computer, Control and Robotics (ICCCR). IEEE; 2025:380-385. doi:10.1109/ICCCR65461.2025.11072635

Ÿ Wang L, Li X, Peng Y, Han J, Zhang J. Balance Evaluation Based on Walking Experiments with Exoskeleton Interference. Bioengineering. 2024;11(4):386. doi:10.3390/bioengineering11040386

Ÿ Slade P, Atkeson C, Donelan JM, , …, Zhang J, Collins S. On human-in-the-loop optimization of human–robot interaction. Nature. 2024;633(8031):779-788. doi:10.1038/s41586-024-07697-2

Ÿ Liu Z, Han J, Han J, Zhang J. Design and Evaluation of a Lightweight, Ligaments-Inspired Knee Exoskeleton for Walking Assistance. IEEE Robot Autom Lett. 2024;9(10):8491-8498. doi:10.1109/LRA.2024.3438041

Ÿ Jing Z, Han H, Han J, Zhang J. A Relationship Model Between Optimized Exoskeleton Assistance and Gait Conditions Improves Multi-Gait Human-in-the-Loop Optimization Performance. IEEE Trans Neural Syst Rehabil Eng. 2024;32:4304-4313. doi:10.1109/TNSRE.2024.3506974

Ÿ Huang X, Peng Y, Wang L, Jing Z, Han J, Zhang J. Personalized Forward Prediction Simulation Improves the Efficiency of Human-in-the-Loop Optimization. In: 2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE). IEEE; 2024:2078-2085. doi:10.1109/ICEMCE64157.2024.10862495

Ÿ Han J, Yin W, Jing Z, Han J, Zhang J. Self-Regulating Pre-Tensioning Parameter Strategy for Control of Cable-Driven Knee Exoskeleton. In: 2024 China Automation Congress (CAC). IEEE; 2024:1118-1123. doi:10.1109/CAC63892.2024.10865389

Ÿ Chen J, Ding J, Han J, Zhang J. Design and Evaluation of a Bilateral Mobile Ankle Exoskeleton With High-Efficiency Actuation. IEEE Robot Autom Lett. 2024;9(6):5528-5535. doi:10.1109/LRA.2024.3391695

Ÿ Peng Y, Chen J, Wang L, Han J, Zhang J. Design and Evaluation of a Bidirectional Ankle Exoskeleton System. In: 2023 38th Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE; 2023:481-485. doi:10.1109/YAC59482.2023.10401395

Ÿ Jing Z, Han J, Zhang J. Comparison of biomechanical analysis results using different musculoskeletal models for children with cerebral palsy. Front Bioeng Biotechnol. 2023;11:1217918. doi:10.3389/fbioe.2023.1217918

Ÿ Chen J, Ding J, Zhang J. Pilot study on human-in-the-loop optimization of ankle exoskeleton assistance based on plantar pressure interaction. In: Shmaliy YS, Sun Y, Zaidi H, et al., eds. Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023). SPIE; 2023:88. doi:10.1117/12.3009517

Ÿ Yin W, Wang W, Ding J, Liu J, Zhang J. Evaluation of a Bionic Cable-driven Ankle Exoskeleton System for Human Walking Assistance. In: 2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE; 2022:1270-1274. doi:10.1109/YAC57282.2022.10023847

Ÿ Wang W, Ding J, Wang Y, Liu Y, Zhang J, Liu J. 踝关节外骨骼助行模式对下肢肌肉激活与协调模式的影响. 生物医学工程学杂志. 2022;39(0):0. doi:10.7507/1001-5515.202107040

Ÿ Wang W, Chen J, Ding J, Zhang J, Liu J. Improving Walking Economy With an Ankle Exoskeleton Prior to Human-in-the-Loop Optimization. Front Neurorobot. 2022;15:797147. doi:10.3389/fnbot.2021.797147

Ÿ Liu Z, Yin W, Han J, Zhang J. Design and Evaluation of a Self-Aligning Knee Exoskeleton for Knee Extension Assistance During Walking. In: 2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE; 2022:1572-1577. doi:10.1109/YAC57282.2022.10023614

Ÿ Chen J, Han J, Zhang J. Design and Evaluation of a Mobile Ankle Exoskeleton With Switchable Actuation Configurations. IEEE/ASME Trans Mechatron. 2022;27(4):1846-1853. doi:10.1109/TMECH.2022.3175731

Ÿ Zhou T, Xiong C, Zhang J, Chen W, Huang X. Regulating Metabolic Energy Among Joints During Human Walking Using a Multiarticular Unpowered Exoskeleton. IEEE Trans Neural Syst Rehabil Eng. 2021;29:662-672. doi:10.1109/TNSRE.2021.3065389

Ÿ Zhang J, Collins SH. The Iterative Learning Gain That Optimizes Real-Time Torque Tracking for Ankle Exoskeletons in Human Walking Under Gait Variations. Front Neurorobot. 2021;15:653409. doi:10.3389/fnbot.2021.653409

Ÿ Zhang F, Chen J, Wang W, Han H, Li X, Zhang J. Optimization of Gait Assistance Pattern for Charcot-Marie-Tooth Patients Based on Forward Predictive Simulation. In: 2021 International Conference on Computer, Control and Robotics (ICCCR). IEEE; 2021:199-203. doi:10.1109/ICCCR49711.2021.9349388

Ÿ Han H, Wang W, Zhang F, et al. Selection of Muscle-Activity-Based Cost Function in Human-in-the-Loop Optimization of Multi-Gait Ankle Exoskeleton Assistance. IEEE Trans Neural Syst Rehabil Eng. 2021;29:944-952. doi:10.1109/TNSRE.2021.3082198

Ÿ Wang W, Chen J, Ji Y, Jin W, Liu J, Zhang J. Evaluation of Lower Leg Muscle Activities During Human Walking Assisted by an Ankle Exoskeleton. IEEE Trans Ind Inf. 2020;16(11):7168-7176. doi:10.1109/TII.2020.2974232

Ÿ Li X, Chen J, Wang W, Zhang F, Han H, Zhang J. Using Predictive Simulation Methods to Design Suitable Assistance Modes for Human Walking on Slopes. In: 2020 3rd International Conference on Control and Robots (ICCR). IEEE; 2020:169-175. doi:10.1109/ICCR51572.2020.9344320

Ÿ Han H, Li X, Zhang F, Han J, Zhang J. Design and Implementation of a Voice-Controlled Human-Following Mobile Toolbox. In: 2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE). IEEE; 2020:40-46. doi:10.1109/ICCSSE50399.2020.9171968

Ÿ Ren P, Wang W, Jing Z, Chen J, Zhang J. Improving the Time Efficiency of sEMG-based Human-in-the-Loop Optimization. In: 2019 Chinese Control Conference (CCC). IEEE; 2019:4626-4631. doi:10.23919/ChiCC.2019.8866157

Ÿ Jing Z, Liu H, Ren P, Wang W, Zhang J. Automatic Lower Limb Critical Angle Assessment System for Patients with Robot-based Knee Replacement. In: 2019 Chinese Control Conference (CCC). IEEE; 2019:4643-4648. doi:10.23919/ChiCC.2019.8865373

Ÿ Wang W, Liu Y, Ren P, Zhang J, Liu J. The characteristics of human-robot coadaptation during human-in-the-loop optimization of exoskeleton control. In: 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE; 2018:1459-1464. doi:10.1109/ROBIO.2018.8665057

Ÿ Zhang J, Fiers P, Witte KA, et al. Human-in-the-loop optimization of exoskeleton assistance during walking. Science. 2017;356(6344):1280-1284. doi:10.1126/science.aal5054

Ÿ Zhang J, Collins SH. The Passive Series Stiffness That Optimizes Torque Tracking for a Lower-Limb Exoskeleton in Human Walking. Front Neurorobot. 2017;11:68. doi:10.3389/fnbot.2017.00068

Ÿ Zhang J, Cheah CC, Collins SH. Torque Control in Legged Locomotion Supplementary document of this chapter is located at https://www.andrew.cmu.edu/user/shc17/Zhang_2016_BLLSuppMat.pdf. In: Bioinspired Legged Locomotion. Elsevier; 2017:347-400. doi:10.1016/B978-0-12-803766-9.00007-5

Ÿ Zhang J, Cheah CC, Collins SH. Experimental comparison of torque control methods on an ankle exoskeleton during human walking. In: 2015 IEEE International Conference on botics and Automation (ICRA). IEEE; 2015:5584-5589. doi:10.1109/ICRA.2015.7139980

Ÿ Zhang J, Cheah CC. Passivity and Stability of Human–Robot Interaction Control for Upper-Limb Rehabilitation Robots. IEEE Trans Robot. 2015;31(2):233-245. doi:10.1109/TRO.2015.2392451

Ÿ Witte KA, Zhang J, Jackson RW, Collins SH. Design of two lightweight, high-bandwidth torque-controlled ankle exoskeletons. In: 2015 IEEE International Conference on Robotics and Automation (ICRA). IEEE; 2015:1223-1228. doi:10.1109/ICRA.2015.7139347

Ÿ Zhang J, Cheah CC, Collins SH. Stable human-robot interaction control for upper-limb rehabilitation robotics. In: 2013 IEEE International Conference on Robotics and Automation. IEEE; 2013:2201-2206. doi:10.1109/ICRA.2013.6630873

                                                         

讲授课程

本科

1. 模拟电子技术, 48学时

研究生 

1. 机器人系统设计与实现, 48学时

2. 基于李雅普诺夫方法的非线性控制, 32学时


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