• 面向未来医疗及高质量生活需求，充分运用先进机器人与人工智能前沿技术。

• 主要研究方向：康复医疗机器人（肢体瘫痪的神经康复、小儿颅骨重塑手术等）、启发临床康复治疗的动物模型研究及装备、高效人机交互（脑机接口、认知-运动-感觉融合交互）、人类工效增强智能化装备与技术。

• 每年招收1-2名博士生，长期招收控制、计算机、机电等方向博士后、实习生，欢迎感兴趣的优秀学子加入！

• 毕业生去向：博士生梁旭就职于北京交通大学继续从事科研，博士生任士鑫毕业后就职于华为公司2012实验室，博士生王佳星毕业后留所继续从事科研，博士生焦雨泽毕业后就职于沈阳飞机设计研究所，硕士生方志杰毕业后去往法国国家信息与自动化研究所深造，硕士生许淄豪毕业后去往天津大学读博、毕业后任职于宣武医院。

• 2019.11 至今，中国科学院自动化研究所，研究员
• 2014.10~2019.10，中国科学院自动化研究所，副研究员
• 2006.07~2011.08，北京机械工业自动化研究所，电控工程师

• 2020.12 至今，中国自动化学会智能健康与生物信息专委会，副主任委员
• 2023.10 至今，中国人工智能学会智能机器人专委会，委员
• 2022.12 至今，中国计算机学会智能机器人专委会， 委员
• 2020.11 至今，中国自动化学会混合智能专委会，委员
• 2019.04 至今，中国生物医学工程学会康复工程分会，委员
• 2016.12 至今，中国医学装备协会智能装备技术分会，委员
• 2018.05 至今，北京人工智能学会, 理事
• 2016，《自动化学报》“康复机器人与智能辅助系统”特刊，编委

1. Jiaxing Wang, Weiqun Wang*, Chutian Zhang and Zeng-Guang Hou, "FasterEEG: Adaptive Channel and Model Size Optimization for Efficient Brain Decoding," in IEEE Transactions on Biomedical Engineering, 2026, early access.

2. Yuze Jiao, Tianyu Lin, Weiguo Shi, Jiaxing Wang, Guotao Li, Zeng-Guang Hou, Weiqun Wang*, "Ankle Exoskeleton-Based Gait Recovery for Hemiplegic Patients: Generation and Real-Time Optimization of Assistive Torques," IEEE Transactions on Automation Science and Engineering, vol. 23, pp. 772-783, 2026.

3. Jianqiang Su, Jiaxing Wang, Weiqun Wang, Bin Hu, Yihan Wang, Yuze Feng, Hezhong Yan, Zhengqing Wang, Zeng-Guang Hou, "A Flexible Low-Voltage Electrical Stimulation System for Precise and Personalized Whole-Hand Tactile Feedback," IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-10, 2025.

4. Yihan Wang, Jiaxing Wang, Weiqun Wang, Jianqiang Su, Chayut Bunterngchit and Zeng-Guang Hou, "TFTL: A Task-Free Transfer Learning Strategy for EEG-Based Cross-Subject and Cross-Dataset Motor Imagery BCI," IEEE Transactions on Biomedical Engineering, vol. 72, no. 2, pp. 810-821, Feb. 2025

5. Weiqun Wang, Tianyu Lin, Kexin Xiang, Xu Liang, Chutian Zhang, Zhen Lv, Shixin Ren, Yitao Jing, Jiaxing Wang, Weiguo Shi, Xiangyu Sun, Badong Chen,Zeng-Guang Hou, “Brain-controlled robot enables the paraplegic implement autonomous multi-mode walk training,” IEEE/ASME Transactions on Mechatronics, vol. 30, no. 6, pp. 7359-7370, 2025.

6. Yuze Jiao, Weiqun Wang*, Jiaxing Wang, Zeng-Guang Hou, “Proprioception enhancement for robot assisted neural rehabilitation: A dynamic electrical stimulation based method and preliminary results from EEG analysis,” Journal of Neural Engineering, vol. 21, no. 4, 2024.

7. Yuze Jiao, Weiqun Wang*, Shengda Liu, Jiaxing Wang, Zeng-Guang Hou, “Online adaptive decoding for MI-BCI based on stimulation and feature optimization and data augmentation,” IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-13, 2024, Art no. 4012413.

8. Jiaxing Wang, Weiqun Wang*, Jianqiang Su, Yihan Wang, and Zeng-Guang Hou*, "Toward a fast and robust MI-BCI: Online adaptation of stimulus paradigm and classification model," IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-12, 2024.

9. Xu Liang, Yuchen Yan, Weiqun Wang*, Tingting Su, Guangping He, Guotao Li, and Zeng-Guang Hou, “Adaptive human–robot interaction torque estimation with high accuracy and strong tracking ability for a lower limb rehabilitation robot,” IEEE/ASME Transactions on Mechatronics, Early Access, 2024.

10. Jianqiang Su, Jiaxing Wang, Weiqun Wang, Yihan Wang, Chayut Bunterngchit, Pu Zhang, and Zeng-Guang Hou, “An adaptive hybrid brain computer interface for hand function rehabilitation of stroke patients,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, pp. 2950 – 2960, 2024.

11. Weiqun Wang, Weiguo Shi, Kexin Xiang, Shixin Ren, Tianyu Lin, Shengda Liu, Jiaxing Wang, Zeng-Guang Hou, "A multiposture robot for full cycle rehabilitation of lower limbs: Design and autonomous training," IEEE/ASME Transactions on Mechatronics, vol. 29, no. 6, pp. 4087-4098, 2024.

12. Weiqun Wang, Xu Liang, Shengda Liu, Tianyu Lin, Pu Zhang, Zhen Lv, Jiaxing Wang, Zeng-Guang Hou, “Drivable space of rehabilitation robot for physical human-robot tnteraction: Definition and an expanding method,” IEEE Transactions on Robotics, vol. 39, no. 1, pp. 343-356, 2023.

13. Jiaxing Wang, Weiqun Wang*, and Zeng-Guang Hou*, “EEG-Based Focus of Attention Tracking and Regulation During Dual-Task Training for Stroke Patients’ Neural Rehabilitation,” IEEE Transactions on Biomedical Engineering, vol. 70, no. 3, pp. 920-930, 2023.

14. Jiaxing Wang, Weiqun Wang, Shixin Ren, Weiguo Shi, Zeng-Guang Hou, “Neural correlates of single-task versus cognitive-motor dual-task training,” IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 2, pp. 532 - 540, 2022.

15. Weiqun Wang, Weiguo Shi, Zeng-Guang Hou, Badong Chen, Xu Liang, Shixin Ren, Jiaxing Wang, and Liang Peng, “Prediction of human voluntary torques based on collaborative neuromusculoskeletal modeling and adaptive learning,” IEEE Transactions on Industrial Electronics, vol. 68, no. 6, pp. 5217-5226, June 2021.

16. Jiaxing Wang, Lei Shi, Weiqun Wang, Zeng-Guang Hou, “Efficient brain decoding based on adaptive EEG channel selection and transformation,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 6, pp. 1314-1323, 2022.

17. Xu Liang, Guangping He, Tingting Su, Weiqun Wang, Can Huang, Quanliang Zhao, Zeng-Guang Hou, “Finite-time observer based variable impedance control of cable-driven continuum manipulators,” IEEE Transactions on Human-Machine Systems, vol. 52, no. 1, pp. 26-40, 2021

18. Yunfei Zheng, Badong Chen, Shiyuan Wang, and Weiqun Wang, "Broad learning system based on maximum correntropy criterion," IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 7, pp. 3083-3097, 2021.

19. Shixin Ren, Weiqun Wang*, Zeng-Guang Hou, Xu Liang, Jiaxing Wang, and Weiguo Shi, “Enhanced motor imagery based brain-computer interface via FES and VR for lower limbs,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 8, pp. 1846-1855, 2020.

20. Jiaxing Wang, Weiqun Wang*, Shixin Ren, Weiguo Shi and Zeng-Guang Hou, "Engagement enhancement based on human-in-the-loop optimization for neural rehabilitation, " in Frontiers in Neurorobotics, vol. 14, no. 84, 2020.

21. Weiqun Wang, Weiguo Shi, Shixin Ren, Zeng-Guang Hou*, Xu Liang, Jiaxin Wang & Liang Peng，“GPR and SPSO-CG based gait pattern generation for subject-specific training, ” SCIENCE CHINA Information Sciences, vol. 64, no. 8, p. 189204, 2020.

22. Jiaxing Wang, Weiqun Wang, and Zeng-Guang Hou*, “Toward improving engagement in neural rehabilitation: Attention enhancement based on brain–computer interface and audiovisual reedback,” IEEE Transactions on Cognitive and Developmental Systems, vol. 12, no. 4, pp. 787-796, 2020.

23. Tairen Sun, Long Cheng, Weiqun Wang, and Yongping Pan, "Semiglobal exponential control of Euler–Lagrange systems using a sliding-mode disturbance observer," Automatica, vol. 112, p. 108677, 2020/02/01/ 2020.

24. Jing Li, Yaokai Xue, Weiqun Wang, and Gaoxiang Ouyang, "Cross-level parallel network for crowd counting," IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 566-576, 2020.

25. Yunfei Zheng, Badong Chen, Shiyuan Wang, Weiqun Wang, and Wei Qin, "Mixture correntropy-based kernel extreme learning machines," IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15, 2020.

26. Shixin Ren, Weiqun Wang*, Zeng-Guang Hou, Badong Chen, Xu Liang, Jiaxing Wang, Liang Peng, “Personalized gait trajectory generation based on anthropometric features Using Random Forest,” Journal of Ambient Intelligence and Humanized Computing, 2019: 1-12.

27. Chengkun Cui, Gui-Bin Bian, Zeng-Guang Hou, Jun Zhao, Guodong Su, Hao Zhou, Liang Peng, Weiqun Wang,"Simultaneous recognition and assessment of post-stroke hemiparetic gait by fusing kinematic, kinetic, and electrophysiological data," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 4, pp. 856-864, 2018.

28. Liang Peng, Zeng-Guang Hou, Long Peng, Lincong Luo and Weiqun Wang, “Robot assisted rehabilitation of the arm after stroke: Prototype design and clinical evaluation,” SCIENCE CHINA Information Sciences, 2017, vol. 60, pp. 1-7.

29. Weiqun Wang, Zeng-Guang Hou, Long Cheng, Lina Tong, Liang Peng, Long Peng, Min Tan, “Towards patients’ motion intention recognition: Dynamics modeling and identification of iLeg - an LLRR under motion constraints,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 7, pp. 980-992, 2016.

30. Feng Zhang, Zeng-Guang Hou, Long Cheng, and Weiqun Wang, Yixiong Chen, Jin Hu, Liang Peng, and Hongbo Wang, “iLeg - a lower limb rehabilitation robot: A proof of concept,” IEEE Transactions on Human-Machine Systems, vol. 46, no. 5, pp. 761-768, 2016.

31. Lina Tong, Feng Zhang, Zeng-Guang Hou, Weiqun Wang, Liang Peng, “BP-AR-based human joint angle estimation using multi-channel sEMG,” International Journal of Robotics & Automation, vol. 30, pp. 227-237, 2015.

32. Weiqun Wang, Zeng-Guang Hou, Lina Tong, Feng Zhang, Yixiong Chen and Min Tan, “A novel leg orthosis for lower limb rehabilitation robots of the sitting/lying type,” Mechanism and Machine Theory, vol. 74, pp. 337-353, 2014.

33. 石伟国, 王卫群*, 王佳星, 刘圣达, 梁旭, 侯增广. 面向机器人辅助步态训练的主动自适应人机交互控制,《机器人》, 2026, 48(2): 238-245, 258.

34. 梁旭, 王卫群*, 苏婷婷, 侯增广, 何广平, 任士鑫, 石伟国, 下肢康复机器人的主动柔顺自适应交互控制,《机器人》, vol.43, no.5, pp. 547-556, 2021.

35. 任世鑫, 王卫群*, 侯增广, 陈霸东, 石伟国, 王佳星, 梁 旭, 基于改进共空间模式与视觉反馈的闭环脑机接口,《机械工程学报》, vol. 15, no. 11, pp. 28-35, 2019.

36. 梁旭, 王卫群, 侯增广, 任士鑫, 彭亮, 胡进, “康复机器人的人机交互控制方法, ”《中国科学：信息科学》, no. 1, pp: 24-46, 2018.

37. 彭 亮, 侯增广, 王 晨, 罗林聪, 王卫群, “康复辅助机器人及其物理人机交互方法, ” 《自动化学报》, vo. 44, no. 11, pp. 1246-1256,2018.

38. 罗林聪, 侯增广, 王卫群, 彭亮, “一种基于非线性振荡器的步态轨迹自适应算法,”《自动化学报》, vol. 42, pp. 1951-1959, 2016.

39. 侯增广, 赵新刚, 程龙, 王启宁, 王卫群, “康复机器人与智能辅助系统的研究进展, ”《自动化学报》, vol. 42, no. 12, pp. 1765-1779, 2016.

40. 彭亮, 侯增广, 王卫群, “康复机器人的同步主动交互控制与实现,”《自动化学报》, vol. 41, No. 11, pp. 1837-1846, 2015.

41. 佟丽娜, 侯增广, 彭亮, 王卫群, 陈翼雄, 谭民, “基于多路sEMG时序分析的人体运动模式识别方法, ”《自动化学报》, vol. 40, no. 5, pp. 810-821, 2014.

42. 胡进, 侯增广, 陈翼雄, 张峰, 王卫群, “下肢康复机器人及其交互控制方法,”《自动化学报》, vol. 40, no. 11, pp. 2377-2390, 2014.

43. Weiqun Wang*, Xiru Wang, Zeng-Guang Hou, Zhijie Fang, Yuze Jiao, Yangyu Luo and Jian Gong, “Kinematics modeling and trajectory planning for the skull reconstruction robot,” IEEE International Conference on Real-time Computing and Robotics, Xining, China, 2021.

44. Weiqun Wang, Zeng-Guang Hou*, Lina Tong, Yixiong Chen, Liang Peng and Min Tan, “Dynamics identification of the human-robot interface based on a lower limb rehabilitation robot,” in Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA) , Hong Kong, China, Jun. 2014, pp. 6012-6017.

45. Weiqun Wang, Zeng-Guang Hou*, Weiguo Shi, Xu Liang, Shixin Ren, Jiaxing Wang, and Liang Peng, “Neuromuscular activation based sEMG-torque hybrid modeling and optimization for robot assisted neurorehabilitation,” The 26th International Conference on Neural Information Processing (ICONIP), Sydney, Australia, December 12-15, 2019.

46. Weiqun Wang, Zeng-Guang Hou*, Xu Liang, Shixin Ren, Liang. Peng, Lincong Luo, and Chengkun Cui, “Relative torque contribution based model simplification for robotic dynamics identification,” in Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence(SSCI), Hawaii, USA, pp. 988-994.

47. Tianyu Lin, Jiaxing Wang, Zeyu Liu, Yitao Jing, Jianqiang Su, Kexin Xiang, Bin Hu, Weiguo Shi, and Weiqun Wang*, "Inter-State Pattern Subtraction Improves Cross-State Motor Imagery EEG Decoding," IFAC-Papers OnLine 59.35 (2025): 25-30.

48. Yihan Wang, Jiaxing Wang, Weiqun Wang, Jianqiang Su, and Zeng-Guang Hou*, "Calibration-free transfer learning for EEG-based cross-subject motor imagery classification," in IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023, pp. 1-6.

49. Jianqiang Su, Jiaxing Wang, Weiqun Wang, Yihan Wang, and Zeng-Guang Hou*, "Enhanced motor imagery based brain-computer interface via vibration stimulation and robotic glove for post-stroke rehabilitation," In International Conference on Neural Information Processing, Singapore, 2023, pp. 326-337: Springer Nature Singapore.

50. Yitao Jing, Weiqun Wang*, Jiaxing Wang, Yuze Jiao, Kexin Xiang, Tianyu Lin, Weiguo Shi, and Zeng-Guang Hou, "Transformer based cross-subject mental workload classification using fnirs for real-world application," in the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, pp. 1-5.

51. Kexin Xiang, Weiqun Wang*, Zeng-Guang Hou, Chutian Zhang, Jiaxing Wang, Weiguo Shi, Yuze Jiao, Tianyu Lin, “Muscle synergy analysis based on nmf for lower limb motor function assessment,” in Proceedings of the 2022 IEEE International Conference on Robotics and Biomimetics, Xishuangbanna, China, 2022.

52. Yuze Jiao, Weiqun Wang*, Zeng-Guang Hou, Shixin Ren, Jiaxing Wang, Weiguo Shi, Zhijie Fang and Xu Liang, “CNN-LSTM network based prediction of human joint angles using multi-band sEMG and historical angles,” International Joint Conference on Neural Networks, Shenzhen, China, 2021.

53. Tingting Su, Xu Liang*, Jiyu Liang, Weiqun Wang, Guangping He, Quanliang Zhao, Lei Zhao, Can Huang and Yuze Jiao, “A multi-objective fusion internal preload optimization method of redundantly actuated parallel robots for backlash prevention,” International Joint Conference on Neural Networks, Shenzhen, China, 2021.

54. Zhijie Fang, Weiqun Wang*, Shixin Ren, Jiaxing Wang, Weiguo Shi1, Xu Liang, Chen-Chen Fan and Zengguang Hou, “Learning regional attention convolutional neural network for motion intention recognition based on EEG data,” in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence(IJCAI), Main track, pp. 1570-1576, 2020.

55. Xu Liang, Weiqun Wang*, Zeng-Guang Hou, Shixin Ren, Jiaxing Wang, Weiguo Shi, Liang Peng, Tingting Su, “Position based impedance control strategy for a lower limb rehabilitation robot,” in the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019.

56. Xu Liang, Weiqun Wang*, Zengguang Hou, and Shixin Ren, “Adaptive estimation of human-robot interaction force for lower limb rehabilitation,” The 26th International Conference on Neural Information Processing (ICONIP), Sydney, Australia, December 12-15, 2019.

57. Zhijie Fang, Weiqun Wang*, Zeng-Guang Hou, “Convolutional LSTM: A deep learning method for motion intention recognition based on spatiotemporal EEG data,” The 26th International Conference on Neural Information Processing (ICONIP), Sydney, Australia, December 12-15, 2019.

58. Weiguo Shi, Weiqun Wang*, Zeng-Guang Hou, Xu Liang, Jiaxing Wang, Shixin Ren, and Liang Peng, “SEMG and KNN based human motion intention recognition for active and safe neurorehabilitation,” The 26th International Conference on Neural Information Processing (ICONIP), Sydney, Australia, December 12-15, 2019.

59. Xu Liang, Zeng-Guang Hou*, Shixin Ren, Weiguo Shi, Weiqun Wang, Jiaxing Wang, Tingting Su，“Damping control based speed adjustment strategy for a lower limb rehabilitation robot,” The 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 2019

60. Jiaxing Wang, Weiqun Wang*, Zeng-Guang Hou, Weiguo Shi, Xu Liang, Shixin Ren, Liang Peng and Yan-Jie Zhou, “BCI and multimodal feedback based attention regulation for lower limb rehabilitation,” The 2019 International Joint Conference on Neural Networks (IJCNN), Budapest，Jul 14-19, 2019.

61. Chen Wang, Liang Peng, Zeng-Guang Hou*, Jingyue Li, Lincong Luo, Sheng Chen and Weiqun Wang, “Kinematic redundancy analysis during goal-directed motion for trajectory planning of an upper-limb exoskeleton robot,” in Proceedings of IEEE International Conference on Engineering in Medicine and Biology Society (EMBC), 2019, pp. 5251-5255.

62. Chen Wang, Liang Peng, Jingyue Li, Zeng-Guang Hou* and Weiqun Wang, “Quantitative analysis of motor synergies and assessment of upper-limb motor function for post-stroke rehabilitation based on multi-modal data fusion,” The 26th International Conference on Neural Information Processing (ICONIP), Sydney, Australia, December 12-15, 2019.

63. Chen Wang, Liang Peng, Zeng-Guang Hou* and Weiqun Wang, “A novel assist-as-needed controller based on fuzzy-logic inference and human impedance identification for upper-Limb rehabilitation,” The 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 2019.

64. Shixin Ren, Weiqun Wang*, Zeng-Guang Hou, Xu Liang, Jiaxing Wang, and Liang Peng, “Anthropometric features based gait pattern prediction using random forest for patient-specic gait training,” in the 25th International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, December 13-16, 2018.

65. Xu Liang, Weiqun Wang*, Zeng-Guang Hou, Zihao Xu, Shixin Ren, Jiaxing Wang, and Liang Peng, “Dynamics based fuzzy adaptive impedance control for lower limb rehabilitation robot,” in the 25th International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, December 13-16, 2018.

66. Jiaxing Wang, Weiqun Wang*, Zeng-Guang Hou, Xu Liang, Shixin Ren, and Liang Peng, “Brain functional connectivity analysis and crucial channel selection using channel-wise CNN,” in the 25th International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, December 13-16, 2018.

67. Liang Peng, Chen Wang, Lincong Luo, Sheng Chen, Zeng-Guang Hou* and Weiqun Wang, “Adaptive modeling and control of an upper-limb rehabilitation robot using RBF neural networks,” in the 25th International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, December 13-16, 2018.

68. Jiaxing Wang, Weiqun Wang*, Zeng-Guang Hou, Xu Liang, Shixin Ren, Liang Peng “Towards enhancement of patients’ engagement: Online modification of rehabilitation training modes using facial expression and muscle fatigue” , in the 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)，Honolulu, Hawaii，July 17-21, 2018, pp. 2304-2307.

69. Liang Peng, Chen Wang, Lincong Luo, Sheng Chen, Zeng-Guang Hou* and Weiqun Wang, “A CPG-inspired assist-as-needed controller for an upper-limb rehabilitation robot,” in the 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Nove18 - 21 NOVEMBER, 2018, BENGALURU, INDIA, accepted.

70. Chen Wang, Liang Peng, Zeng-Guang Hou*, Lincong Luo, Sheng Chen and Weiqun Wang, “Experimental validation of minimum-jerk principle in physical human-robot interaction,” in the 25th International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, December 13-16, 2018, accepted.

71. Chen Wang, Liang Peng, Zeng-Guang Hou*, Lincong Luo, Sheng Chen and Weiqun Wang, “sEMG-based torque estimation using time-delay ANN for control of an upper-limb rehabilitation robot” in Proceedings of IEEE International Conference on Cyborg and Bionic Systems (CBS), 2018

72. Chen Wang, Liang Peng, Lincong Luo, Zeng-Guang Hou*, Weiqun Wang, “Genetic algorithm based dynamics modeling and control of a parallel rehabilitation robot” in Proceedings of IEEE World Congress on Computational Intelligence (WCCI), 2018

73. Lincong Luo, Liang Peng, Chen Wang, Zengguang Hou* and Weiqun Wang, “An assist-as-needed controller for robotic rehabilitation therapy based on RBF network,” in the 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 8-13, 2018, accepted.

74. Zihao Xu, Weiqun Wang*, Zeng-Guang Hou, Xiaoming Lin, Xu Liang, “Dynamic model based fuzzy-impedance interaction control for rehabilitation robots”, in Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics(ROBIO), December 5-8, 2017, Macau SAR, China, pp. 1583-1588.

75. Lincong Luo, Liang Peng, Zeng-Guang Hou*, Weiqun Wang, “An adaptive impedance controller for upper limb rehabilitation based on estimation of patients’ stiffness”, in Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics(ROBIO), December 5-8, 2017, Macau SAR, China, pp. 532-537.

76. Liang Peng, Zeng-Guang Hou*, Long Peng, Lincong Luo and Weiqun Wang, “Robot assisted upper limb rehabilitation training and clinical evaluation: Results of a pilot study”, in Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics(ROBIO), December 5-8, 2017, Macau SAR, China, pp. 889-893.

77. Long Peng, Zeng-Guang Hou*, Liang Peng and Weiqun Wang, “Experimental study of robot-assisted exercise training for knee rehabilitation based on a practical EMG-driven model”, in Proceedings of the 6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), Singapore, 2016, pp.810-814.

78. Long Peng, Zeng-Guang Hou*, Nikola Kirilov Kasabov,…,Weiqun Wang, “sEMG-based torque estimation for robot-assisted lower limb rehabilitation,” 2015 International Joint Conference on Neural Networks (IJCNN).

79. Liang Peng, Zeng-Guang Hou*, and Weiqun Wang, “Dynamic modeling and control of a parallel upper-limb rehabilitation robot,” in Proceedings of the 2015 IEEE/RAS-EMBS International Conference on Rehabilitation Robot (ICORR), Singapore, August 2015, pp. 532-537.

80. Liang Peng, Zeng-Guang Hou*, and Weiqun Wang, “A dynamic EMG torque model of elbow Based on neural networks,” in Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy, August 2015, pp. 5611-5616.

81. Liang Peng, Zeng-Guang Hou*, and Weiqun Wang, “Design of CASIA-ARM: A novel rehabilitation robot for upper limbs,” in Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015, pp. 5611-5616.

82. Liang Peng, Zeng-Guang Hou*, and Weiqun Wang, “An sEMG-driven musculoskeletal model of shoulder and elbow based on neural networks”, in Proceedings of the 2015 International Conference on Advanced Computational Intelligence (ICACI), Nanping, China, pp. 366-371, 2015.

83. Long Peng, Zeng-Guang Hou*, Liang Peng, and Weiqun Wang, “A practical EMG-driven musculoskeletal model for dynamic torque estimation of knee joint”, in Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), Zhuhai, China, pp. 1036-1040, 2015.

84. Liang Peng, Zeng-Guang Hou*, Nikola Kasabov, Long Peng, Jin Hu, Weiqun Wang, “Implementation of active training for an upper-limb rehabilitation robot based on impedance control”, in Proceedings of the 27th Chinese Control and Decision Conference (CCDC), Qingdao, China, pp. 5453-5458, 2015.

85. Yixiong Chen, Jin Hu, Weiqun Wang, Liang Peng, Long Peng and Zeng-Guang Hou*, “An FES-assisted training strategy combined with impedance control for a lower limb rehabilitation robot,” in Proceedings of the 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), Shenzhen, China, 2013, pp. 2037-2042.

86. Liang Peng, Zeng-Guang Hou*, Yixiong Chen, Weiqun Wang, Lina Tong and Pengfeng Li, “Combined use of semg and accelerometer in hand motion classification considering forearm rotation”, in Poceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 2013, pp. 4227-4230.

• 美国PCT专利：Multi-Posture Lower Limb Rehabilitation Robot, 专利授权号：US10722416B2, 授权日期: 2020.07.28

• 美国PCT专利：Upper limb rehabilitation robot system，专利授权号：US10596056B2，授权日期：2020.03.24

• 发明专利：模拟上下楼梯的康复训练方法及下肢康复机器人，专利授权号：ZL202010114859.0，授权日期：2021.05.21

• 发明专利：下肢康复机器人的按需辅助自适应控制方法和系统, 专利号：ZL202011196774.8, 授权时间：2021.04.08

• 发明专利：基于脑-机接口的注意力调控系统，专利号：ZL201910793338.X，授权日期：2020.09.29

• 发明专利：一种三自由度腕关节康复机器人及其系统，专利号：ZL201610860704 .5，授权时间：2019.09.24

• 发明专利：一种康复机器人主动训练控制方法和装置, 专利号: ZL201610317761.9，授权时间：2018.06.29

• 发明专利：基于阻抗控制的康复机器人，专利号：ZL201510079091.7，授权时间：2017.06.13

• 发明专利：一种可用于下肢康复训练的腿部机构，专利号：ZL201510601264 .7，授权时间：2017.06.13

• 发明专利：一种多位姿下肢康复训练机器人, 专利号: ZL201510126371.9，授权时间：2016.11.09

• 发明专利：一种便携式心电及表面肌电测量装置, 专利号: ZL201510601401.7，授权时间：2015.12.23

• 发明专利：一种坐卧式个性化下肢康复训练机器人, 专利号: ZL201210265145.5，授权时间：2014.03.12

• 发明专利：上肢康复机器人系统, 专利号: 201480000563.9，授权时间：2018.02.02

• 发明专利：一种实验用兔子脊椎弯曲装置,  专利号: ZL201210268913.2，授权时间：2014.09.17

• 发明专利：一种上肢康复机器人手指及手腕训练装置, 专利号: 201610319764.6，授权时间：2017.11.21

• 发明专利：任务导向式主动训练控制方法，专利号：ZL201410799839.6, 授权时间：2017.02.22

• 发明专利：基于sEMG的单关节主动训练控制方法及相应的康复机器人，专利号：ZL201410784548.X, 授权时间：2017.07.21

• 发明专利：脊髓损伤撞击装置，专利号：ZL201210593040.2，授权时间：2015.04.01

• 发明专利：坐卧式下肢康复机器人及相应的主动训练控制方法，专利号：ZL201210226579，授权时间：2015.06.03

• 发明专利：坐卧式下肢康复机器人，专利号：ZL201210225997，授权时间：2014.03.12

• 发明专利：康复机器人大腿长度调整装置，专利号：ZL201210438733，授权时间：2014.05.28

• 发明专利：一种移动式反向自锁举升平台，授权号：ZL201210262575.1，授权时间：2015.04.22

• 发明专利：脊髓损伤撞击装置，专利号：ZL201210593040.2，授权时间：2015.04.01

• 发明专利：用于动物实验腹侧脊髓损伤撞击器的电气控制系统，专利号：ZL 201210541529.5，授权时间：2015.01.07

• 发明专利：一种新型坐卧式下肢康复机器人下肢关节机构，授权号：ZL201210243574.2，授权时间：2014.09.24

1. 基于闭环神经调控的BCI-DES-康复机器人协同控制及临床应用研究，负责人, 国家任务, 2026.01-2029.12

2. 脑电信号智能识别技术研究, 负责人, 国家任务, 2022-02--2024-11

3. 基于神经可塑性主动诱导的脑卒中康复机器人控制与精准干预方法, 负责人, 国家任务, 2023-01--2025-12

4. 脑机融合主动康复关键技术与系统研发, 负责人, 国家任务, 2022-12--2025-12

5. 人机共融的灵巧柔顺下肢康复机器人交互方法与应用-子课题, 负责人, 国家任务, 2017-01--2020-12

6. 上肢康复机器人的人机工效学设计与柔顺交互控制策略研究-子课题, 负责人, 地方任务, 2017-01--2020-12

7. 面向下肢康复机器人临床应用的双向感知增强人机交互方法, 负责人, 国家任务, 2019-01--2021-12

8. 下肢骨折精准复位手术与量化康复一体化机器人系统-课题, 负责人, 国家任务, 2019-01--2022-05

9. 下肢运动意图精准识别与人机协同交互技术研究, 负责人, 国家任务, 2019-01--2019-12

10. 强化患者神经参与的下肢康复机器人协同交互方法及临床应用, 负责人, 地方任务, 2020-01--2022-12

11. 类脑模型与智能信息处理, 参与, 中国科学院计划, 2018-07--2023-12

12. 神经损伤康复方法及软硬件系统研究, 参与, 国家任务, 2012-05--2015-05

13. 主动自适应上肢康复机器人研发, 参与, 地方任务, 2016-01--2017-12

14. 脑机接口、运动和认知康复, 参与, 中国科学院计划, 2017-01--2017-12

15. 多模物理与认知双向人机交互-子课题, 负责人, 国家任务, 2019-12--2021-06

16. 基于生物信息反馈的上肢康复机器人基础问题及关键技术, 参与, 地方任务, 2017-01--2020-06

17. 针对婴幼儿颅缝早闭的颅骨重塑手术机器人研究-子课题, 负责人, 国家任务, 2019-01--2021-06

18. 医疗机器人集群-强化神经协同参与的智能康复机器人, 负责人, 研究所自选, 2020-04--2023-05

已毕业学生：

梁   旭，博士研究生，081101-控制理论与控制工程，就职于北京交通大学

任士鑫，博士研究生，081101-控制理论与控制工程，就职于华为2012实验室

王佳星，博士研究生，081101-控制理论与控制工程，毕业后留所工作

焦雨泽，博士研究生，081101-控制理论与控制工程，就职于沈阳飞机设计研究所

许淄豪，硕士研究生，081101-控制理论与控制工程，就职于宣武医院

石伟国，硕士研究生，085210-控制工程，在课题组继续攻读博士学位

方志杰，硕士研究生，085210-控制工程，法国国家信息与自动化研究所攻读博士学位

向可馨，硕士研究生，085210-控制工程，在课题组继续攻读博士学位

刘   港，硕士研究生，080200-机械工程

在读学生：

石伟国，博士研究生，081101-控制理论与控制工程

林天予，博士研究生，081101-控制理论与控制工程

向可馨，博士研究生，081101-控制理论与控制工程

井一韬，博士研究生，081101-控制理论与控制工程

刘浚哲，博士研究生，081101-控制理论与控制工程

傅泽铤，博士研究生，040302-运动人体科学

阙新林，博士研究生，081101-控制理论与控制工程

王子轩，硕士研究生，085210-控制工程

石博仁，博士研究生，081101-控制理论与控制工程

王   耀，博士研究生，081101-控制理论与控制工程

鲁建明，硕士研究生，085210-控制工程

焦博洋，硕士研究生，085210-控制工程