王衛群是中國科學院自動化研究所研究員、博士生導師。
研究領域,工作經歷,學術兼職,學術獎勵,學術論文,
研究領域
面向未來醫療及高質量生活需求，充分運用先進機器人與人工智慧前沿技術。
工作經歷
2019.11 至今，中國科學院自動化研究所，研究員
2014.10~2019.10，中國科學院自動化研究所，副研究員
2006.07~2011.08，北京機械工業自動化研究所，電控工程師
學術兼職
2020.12 至今，中國自動化學會智慧型健康與生物信息專委會，副主任委員
2023.10 至今，中國人工智慧學會智慧型機器人專委會，委員
2022.12 至今，中國計算機學會智慧型機器人專委會， 委員
2020.11 至今，中國自動化學會混合智慧型專委會，委員
2019.04 至今，中國生物醫學工程學會康復工程分會，委員
2016.12 至今，中國醫學裝備協會智慧型裝備技術分會，委員
2018.05 至今，北京人工智慧學會, 理事
2016，《自動化學報》“康復機器人與智慧型輔助系統”特刊，編委
學術獎勵
2023，北京市自然科學獎，一等獎
2022，中國自動化學會科技進步獎，二等獎
2021，第48屆日內瓦國際發明展 金獎
2021，中國自動化學會青年科學家獎
2021，中國自動化學會技術發明獎，一等獎
2021，吳文俊人工智慧科學技術獎自然科學獎，一等獎
2020，第四屆全國機器人專利創新創業大賽 特等獎
2020，世界機器人大賽-BCI腦控機器人大賽情緒腦機組 一等獎，指導教師
2020，北京地區廣受關注學術論文獎
2018，Runner-up for Best Paper，ICONIP 2018
2017，《自動化學報》年度優秀論文獎
2013, Finalist of Best Paper，ROBIO 2013
學術論文
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 梁旭, 王衛群*, 蘇婷婷, 侯增廣, 何廣平, 任士鑫, 石偉國, 下肢康復機器人的主動柔順自適應互動控制,《機器人》, vol.43, no.5, pp. 547-556, 2021.
29. 任世鑫, 王衛群*, 侯增廣, 陳霸東, 石偉國, 王佳星, 梁 旭, 基於改進共空間模式與視覺反饋的閉環腦機接口,《機械工程學報》, vol. 15, no. 11, pp. 28-35, 2019.
30. 梁旭, 王衛群, 侯增廣, 任士鑫, 彭亮, 胡進, “康復機器人的人機互動控制方法, ”《中國科學：信息科學》, no. 1, pp: 24-46, 2018.
31. 彭 亮, 侯增廣, 王 晨, 羅林聰, 王衛群, “康復輔助機器人及其物理人機互動方法, ” 《自動化學報》, vo. 44, no. 11, pp. 1246-1256,2018.
32. 羅林聰, 侯增廣, 王衛群, 彭亮, “一種基於非線性振盪器的步態軌跡自適應算法,”《自動化學報》, vol. 42, pp. 1951-1959, 2016.
33. 侯增廣, 趙新剛, 程龍, 王啟寧, 王衛群, “康復機器人與智慧型輔助系統的研究進展, ”《自動化學報》, vol. 42, no. 12, pp. 1765-1779, 2016.
34. 彭亮, 侯增廣, 王衛群, “康復機器人的同步主動互動控制與實現,”《自動化學報》, vol. 41, No. 11, pp. 1837-1846, 2015.
35. 佟麗娜, 侯增廣, 彭亮, 王衛群, 陳翼雄, 譚民, “基於多路sEMG時序分析的人體運動模式識別方法, ”《自動化學報》, vol. 40, no. 5, pp. 810-821, 2014.
36. 胡進, 侯增廣, 陳翼雄, 張峰, 王衛群, “下肢康復機器人及其互動控制方法,”《自動化學報》, vol. 40, no. 11, pp. 2377-2390, 2014.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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
65. 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
66. 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.
67. 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.
68. 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.
69. 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.
70. 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.
71. 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).
72. 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.
73. 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.
74. 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.
75. 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.
76. 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.
77. 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.
78. 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.
79. 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.
發明專利
美國PCT專利：Multi-Posture Lower Limb Rehabilitation Robot, 專利授權號：US10722416B2, 授權日期: 2020.07.28
美國PCT專利：Upper limb rehabilitation robot system，專利授權號：US10596056B2，授權日期：2020.03.24
發明專利：模擬上下樓梯的康復訓練方法及下肢康復機器人，專利授權號：ZL202010114859.0，授權日期：2021.05.21
發明專利：下肢康復機器人的按需輔助自適應控制方法和系統, 專利號：ZL202011196774.8, 授權時間：2021.04.08
發明專利：基於腦-機接口的注意力調控系統，專利號：ZL201910793338.X，授權日期：2020.09.29
發明專利：一種三自由度腕關節康復機器人及其系統，專利號：ZL201610860704 .5，授權時間：2019.09.24
發明專利：一種康復機器人主動訓練控制方法和裝置, 專利號: ZL201610317761.9，授權時間：2018.06.29
發明專利：基於阻抗控制的康復機器人，專利號：ZL201510079091.7，授權時間：2017.06.13
發明專利：一種可用於下肢康復訓練的腿部機構，專利號：ZL201510601264 .7，授權時間：2017.06.13
發明專利：一種多位姿下肢康復訓練機器人, 專利號: ZL201510126371.9，授權時間：2016.11.09
發明專利：一種攜帶型心電及表面肌電測量裝置, 專利號: ZL201510601401.7，授權時間：2015.12.23
發明專利：一種坐臥式個性化下肢康復訓練機器人, 專利號: ZL201210265145.5，授權時間：2014.03.12
發明專利：上肢康復機器人系統, 專利號: 201480000563.9，授權時間：2018.02.02
發明專利：一種實驗用兔子脊椎彎曲裝置, 專利號: ZL201210268913.2，授權時間：2014.09.17
發明專利：一種上肢康復機器人手指及手腕訓練裝置, 專利號: 201610319764.6，授權時間：2017.11.21
發明專利：任務導向式主動訓練控制方法，專利號：ZL201410799839.6, 授權時間：2017.02.22
發明專利：基於sEMG的單關節主動訓練控制方法及相應的康復機器人，專利號：ZL201410784548.X, 授權時間：2017.07.21
發明專利：脊髓損傷撞擊裝置，專利號：ZL201210593040.2，授權時間：2015.04.01
發明專利：坐臥式下肢康復機器人及相應的主動訓練控制方法，專利號：ZL201210226579，授權時間：2015.06.03
發明專利：坐臥式下肢康復機器人，專利號：ZL201210225997，授權時間：2014.03.12
發明專利：康復機器人大腿長度調整裝置，專利號：ZL201210438733，授權時間：2014.05.28
發明專利：一種移動式反向自鎖舉昇平台，授權號：ZL201210262575.1，授權時間：2015.04.22
發明專利：脊髓損傷撞擊裝置，專利號：ZL201210593040.2，授權時間：2015.04.01
發明專利：用於動物實驗腹側脊髓損傷撞擊器的電氣控制系統，專利號：ZL 201210541529.5，授權時間：2015.01.07
發明專利：一種新型坐臥式下肢康復機器人下肢關節機構，授權號：ZL201210243574.2，授權時間：2014.09.24
科研項目
（ 1 ） 面向腦機協同的腦電信號智慧型感知與識別技術研究, 負責人, 國家任務, 2022-02--2024-11
（ 2 ） 基於神經可塑性主動誘導的腦卒中康復機器人控制與精準干預方法, 負責人, 國家任務, 2023-01--2025-12
（ 3 ） 腦機融合主動康復關鍵技術與系統研發, 負責人, 國家任務, 2022-12--2025-12
（ 4 ） 人機共融的靈巧柔順下肢康復機器人互動方法與套用-子課題, 負責人, 國家任務, 2017-01--2020-12
（ 5 ） 上肢康復機器人的人機工效學設計與柔順互動控制策略研究-子課題, 負責人, 地方任務, 2017-01--2020-12
（ 6 ） 面向下肢康復機器人臨床套用的雙向感知增強人機互動方法, 負責人, 國家任務, 2019-01--2021-12
（ 7 ） 下肢骨折精準復位手術與量化康復一體化機器人系統-課題, 負責人, 國家任務, 2019-01--2022-05
（ 8 ） 主動柔順外骨骼機器人的意圖精準識別與人機協同互動技術, 負責人, 國家任務, 2019-01--2019-12
（ 10 ） 強化患者神經參與的下肢康復機器人協同互動方法及臨床套用, 負責人, 地方任務, 2020-01--2022-12
（ 11 ） 類腦模型與智慧型信息處理, 參與, 中國科學院計畫, 2018-07--2023-12
（ 12 ） 神經損傷康複方法及軟硬體系統研究, 參與, 國家任務, 2012-05--2015-05
（ 13 ） 主動自適應上肢康復機器人研發, 參與, 地方任務, 2016-01--2017-12
（ 14 ） 腦機接口、運動和認知康復, 參與, 中國科學院計畫, 2017-01--2017-12
（ 15 ） 多模物理與認知雙向人機互動-子課題, 負責人, 國家任務, 2019-12--2021-06
（ 16 ） 基於生物信息反饋的上肢康復機器人基礎問題及關鍵技術, 參與, 地方任務, 2017-01--2020-06
（ 17） 針對嬰幼兒顱縫早閉的顱骨重塑手術機器人研究-子課題, 負責人, 國家任務, 2019-01--2021-06
（ 18 ） 醫療機器人集群-強化神經協同參與的智慧型康復機器人, 負責人, 研究所自選, 2020-04--2023-05
