Name: Gong Dao xiong
Degrees: Ph. D
Current Professional Societies:
1、Member of IEEE Robotics and Automation Society;
2、Member of Chinese Association of Automation;
3、Member of Beijing Association for Artificial Intelligence.
1、Zuo Guoyu, Xu Zhaokun, Lu Jiahao, Gong Daoxiong. A structure-optimized DDAG-SVM action recognition method for upper limb rehabilitation training. Acta Automatica Sinica, 2020, 46(3): 549-561. doi: 10.16383/j.aas.c170724
2、Guoyu Zuo, Zhaokun Xu, Jiahao Lu, and Daoxiong Gong, Feature subset evaluation method for upper limb rehabilitation training based on joint feature discernibility, International Journal of Distributed Sensor Network, Vol. 15(3), DOI: 10.1177/1550 147719838467, 2019
3、Gong Daoxiong, He Rui, Yu Jianjun, Zuo Guoyu, A human-like motion control method for robotic joint actuated by antagonistic pneumatic muscles, Robot, 41(6), pp.803-812, 2019
4、Daoxiong Gong, Jin Zhao, Jianjun Yu, Guoyu Zuo, Motion mapping of the heterogeneous master–slave system for intuitive telemanipulation, International Journal of Advanced Robotic Systems, 15(1), https://doi.org/10.1177/1729881417748134, 2018
5、Gong Daoxiong, He Rui, Zuo Guoyu, Yu Jianjun, Motion mapping in the joint space for the control of the heterogeneous wheelchair-mounted robotic arm, Acta Electronica Sinica, 46(2), pp.464-472, 2018
6、Daoxiong Gong, Rui He, Jianjun Yu and Guoyu Zuo, A pneumatic tactile sensor for co-operative robots, Sensors, doi:10.3390/s17112592, 2017
7、Zuo Guoyu, Yu Shuangyue, Gong Daoxiong, Operator attitude algorithm for telerobotic nursing system, Acta Automatica Sinica, Vol.42(12): 1839-1848, 2016
Daoxiong Gong is a professor with the Faculty of Information Technology, Beijing University of Technology, as well as the Beijing Key Lab of the Computational Intelligence and Intelligent System. He received his Ph. D degree from Beijing University of Technology in 2004 with major in Control Science and Engineering. He visited Michigan State University, USA in 2012 as a visiting scholar. He teaches Linear System Theory for both undergraduate and graduate students. His research is focused on the motion control of mobile robots, the motion mapping of heterogeneous tele-robotics, and the humanoid robot actuated by pneumatic artificial muscles. He has published more than 30 papers in academic journals and international conferences. As an adviser, he has helped nearly 30 students to get their master degree, which include 3 Outstanding Graduates of BJUT, 1 Outstanding Graduate of Beijing, and 1 all-A thesis in the blind review after graduated.