个人简介

      王启宁，北京大学工学院副院长，先进制造与机器人系研究员、博士生导师，北京大学工程科学与新兴技术高精尖创新中心先进与设计制造部Co-PI。本科毕业于中国地质大学（北京），博士毕业于北京大学工学院力学系。主要研究领域为智能机器人、智能肢体、康复工程等。曾获科技部中青年科技创新领军人才（2019）、国家自然科学基金优秀青年基金（2019）、国家“万人计划”青年拔尖人才（2015）、熊有伦智湖优秀青年学者奖（2018）、北京市优秀青年人才（2016）、北京市“高创计划”青年拔尖人才（2015）、北京市科技新星（2014）、北京大学博雅青年学者（2017）、北京大学黄廷方/信和青年杰出学者奖（2016）、北京大学埃克森美孚奖教金（2012）、北京大学方正奖教金（2012）、北京大学优秀毕业生（2009）、北京大学研究生“学术十杰”（2009）、中国大学生十大年度人物（2008）、第五届中国青少年科技创新奖（2008）、第六届北京大学“五四”奖章（2008）、北京大学埃克森美孚奖学金（2008）、北京大学摩根士丹利奖学金（2007）、北京大学科研创新团队奖（2007）、北京大学个人学术创新奖（2006、2007）等荣誉。担任IEEE机器人与自动化协会穿戴式机器人技术委员会顾问、IEEE Medal for Environmental & Safety Technologies评奖委员会委员；担任中国机械工程学会机器人分会委员、中国残疾人康复协会康复工程与辅助技术专业委员会副主任委员、中国生物医学工程学会医用机器人工程与临床应用分会委员会委员、中国老年医学学会康复分会委员会常务委员、北京康复医学会康复工程专业委员会副主任委员。

代表性著作

1. Q. Wang*, Z. Zhou, Z. Zhang, Y. Lou, Y. Zhou, S. Zhang, W. Chen, C. Mao, Z. Wang, W. Lou, J. Mai, An underwater lower-extremity soft exoskeleton for breaststroke assistance, IEEE Transactions on Medical Robotics and Bionics, vol. 2, no. 3, pp. 447-462, 2020.  

2. Y. Feng, Q. Wang*, Adjusting ankle angle measurement based on a strain gauge bridge for powered transtibial prosthesis, ASME Journal of Dynamic Systems, Measurement and Control, vol. 142, no. 7, pp. 1-10, 2020.

3. P. Sun, D. Xu, J. Mai, Z. Zhou, S. Agrawal, Q. Wang*, Inertial sensors based torso motion mode recognition for an active postural support brace, Advanced Robotics, vol. 34, no. 1, pp. 57-67, 2020.  

4. C. Gong, D. Xu, Z. Zhou, N. Vitiello, Q. Wang*, BPNN-based real-time locomotion mode recognition for an active pelvis orthosis with different assistive strategies, International Journal of Humanoid Robotics, vol. 17, no. 1, pp. 1-18, 2020.

5. E. Zheng, Q. Wang*, H. Qiao, Locomotion mode recognition with robotic transtibial prosthesis in inter-session and inter-day applications, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 9, pp. 1836-1845, 2019. 

6. D. Xu, X. Liu, Q. Wang*, Knee exoskeleton assistive torque control based on real-time gait event detection, IEEE Transactions on Medical Robotics and Bionics, vol. 1, no. 3, pp. 158-168, 2019. 

7. S. Crea, S. Manca, A. Parri, E. Zheng, J. Mai, R. M. Lova, N. Vitiello, Q. Wang*, Controlling a robotic hip exoskeleton with noncontact capacitive sensors, IEEE/ASME Transactions on Mechatronics, vol. 24, no. 5, pp. 2227-2235, 2019.   

8. X. Liu, Z. Zhou, J. Mai, Q. Wang*, Real-time mode recognition based assistive torque control of bionic knee exoskeleton for sit-to-stand and stand-to-sit transitions, Robotics and Autonomous Systems, vol. 119, pp. 209-220, 2019.  

9. Y. Feng, Q. Wang*, Using one strain gauge bridge to detect gait events for a robotic prosthesis, Robotica, vol. 37, no. 11, pp. 1987-1997, 2019.   

10. C. Ophaswongse, R. C. Murray, V. Santamaria, Q. Wang, S. K. Agrawal*, Human evaluation of wheelchair robot for active postural support (WRAPS), Robotica, vol. 37, no. 12, pp. 2131-2146, 2019. (Cover Story) 

11. Y. Lou, R. Wang, J. Mai, N. Wang, Q. Wang*, IMU-based gait phase recognition for stroke survivors, Robotica, vol. 37, no. 12, pp. 2195-2208, 2019. 

12. Y. Feng, W. Chen, Q. Wang*, A strain gauge based locomotion mode recognition method using convolutional neural network, Advanced Robotics, vol. 33, no. 5, pp. 245-263, 2019.  

13. L. Huang, J. Mai, Q. Zhu, Z. Guo, S. Qin, P. Yang, X. Li, Y. Shi, X. Wang, Q. Wang, Na Li, C. Xie*, H. Liu*, Reversible rearrangement of magnetic nanoparticles in solution studied using time-resolved SAXS method, Journal of Synchrotron Radiation, vol. 26, pp. 1294-1301, 2019.

14. D. Xu, Y. Feng, J. Mai, Q. Wang*, Real-time on-board recognition of continuous locomotion modes for amputees with robotic transtibial prostheses, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 10, pp. 2015-2025, 2018. 

15. E. Zheng, J. Mai, Y. Liu, Q. Wang*, Forearm motion recognition with noncontact capacitive sensing, Frontiers in Neurorobotics, vol. 12, no. 47, pp. 1-13, 2018.