郭凯，副研究员，硕士生导师。毕业于哈尔滨工业大学机器人技术与系统国家重点实验室，现工作于中科院苏州医工所康复室。主要研究方向为手康复机器人及智能感知应用。发表论文20篇，申请国内专利30余项、PCT国际专利4项。

（1） 智能手康复机器人：柔性手功能机器人、外骨骼手康复机器人、智能假肢手。

（2） 面向机器人的智能感知传感系统：研究基于触觉、肌电的康复机器人智能传感感知系统。

[1] Guo K, Lu J, Liu C, Yang H. Development, Research, Optimization and Experiment of Exoskeleton Robot for Hand Rehabilitation Training[J]. Applied Sciences, 2022, 12(20): 10580. (SCI)

[2] Orban M, Elsamanty M, Guo K, Zhang S, Yang H. A Review of Brain Activity and EEG-Based Brain–Computer Interfaces for Rehabilitation Application[J]. Bioengineering, 2022, 9(12): 768. (SCI)

[3] Liu C, Li J, Zhang S, Yang H, Guo K. Study on Flexible sEMG Acquisition System and its Application in Muscle Strength Evaluation and Hand Rehabilitation[J]. Micromachines, 2022, 13(12): 2047. (SCI)

[4] Liu C, Lu J., Yang H, Guo K, Current State of Robotics in Hand Rehabilitation after Stroke: A Systematic Review[J]. Applied Sciences. 2022, 12(9), 4540. (SCI)

[5] Guo K, Zhang S, Zhao S, Yang H. Design and Manufacture of Data Gloves for Rehabilitation Training and Gesture Recognition Based on Flexible Sensors[J]. Journal of Healthcare Engineering, 2021, 6359403,1-9. (SCI)

[6] Guo K, Liu C, Zhao S, Lu J, Zhang S, Yang H. Design of a Millimeter-Wave Radar Remote Monitoring System for the Elderly Living Alone Using WIFI Communication[J]. Sensors. 2021, 21, 7893. (SCI)

[7] Guo K, Zhao S, Liu B, Liu Y, Yang H and Li Z, Development of rehabilitation training gloves based on flexible robot technology [C]//ICMST2020, 2020, 774(1): 012107. (EI)

[8] Liu S, Shan X, Guo K, Yang Y, Xie T. Experimental study on titanium wire drawing with ultrasonic vibration[J]. Ultrasonics, 2018. v 83, p 60-67. (SCI)

[9] Liu S, Shan X, Guo K, Xie T. Design and Fabrication of a Skew-Typed Longitudinal-Torsional Composite Ultrasonic Vibrator for Titanium Wire Drawing[J]. IEEE Access, 2016, 4(99):6749-6756. (SCI)

[10] Liu S, Shan X, Guo K, Xie T. Research on a Composite Power-Superimposed Ultrasonic Vibrator for Wire Drawing[J]. Applied Sciences, 2016, 6(2):32. (SCI)