陈国栋 博士后
教育背景：
| 大连交通大学 | 机械电子工程 | 学士 |
| 哈尔滨工业大学 | 机械电子工程 | 硕士 |
| 哈尔滨工业大学 | 机械电子工程 | 博士 |
电子邮箱：guodongxyz@gmail.com
工作经历：
| 2008-2010 | 研究助理 | 机械与宇航学院 | 新加坡南洋理工大学 |
| 2011-2012 | 讲师 | 机器人与微系统研究中心 | 苏州大学 |
发表论文
| # | 作者 | 会议|期刊 | 论文名称 |
| 1 | Guodong Chen,Sun Lining, Du Zhijiang, Ji Junhong | Acta Automatica Sinica | Object detection based on shape fragments |
| 2 | Junhong Ji, Guodong Chen, Lining Sun | Pattern Recognition Letters | A novel Hough transform method for line detection by enhancing accumulator array |
| 3 | Guodong Chen, Lining Sun, etc | IEEE International Conference on Mechatronics and Automation | Fast and accurate humanoid robot navigation guided by stereovision |
| 4 | Guodong Chen, Lining Sun, Ming Xie, etc | IEEE/ASME International Conference on Advanced Intelligent Mechatronics | Camera calibration based on extended Kalman filter using robot's arm motion |
| 5 | Guodong Chen, Lining Sun, Junhong Ji, etc | IEEE International Conference on Information and Automation | A novel circle detector based on sub-image point pairs |
| 6 | Zhijiang Du, Guodong Chen, Lining Sun, etc | IEEE International Conference on Information and Automation | Local shape patch based object detection |
| 7 | Zeyang Xia, Guodong Chen, etc | IEEE International Conference on Mechatronics and Automation | Human walking capture and its inspiration to biped gait planning |
| 8 | Zeyang Xia, Guodong Chen, etc | IEEE/ASME International Conference on Advanced Intelligent Mechatronics | A random sampling-based approach to goaldirected footstep planning for humanoid robot |
| 9 | Junhong Ji, Guodong Chen | Application Research of Computers | Improved Hough transform based on peak detection by local operators |
| 10 | Zeyang Xia, Ken Chen, J.Xiong, Guodong Chen | Proceeding of 2009 IEEE International Conference on Mechatronics and Automation (ICMA 2009) | Parameter optimization in nonuniform randomized footstep planning for biped navigation |
| 11 | Guodong Chen, Zeyang Xia, Lining Sun, etc | URAI2011, Korea | A learning method for object detection |