Sören Schwertfeger(师泽仁) 助理教授、研究员
Sören Schwertfeger(师泽仁) 助理教授、研究员
电话:(021) 20685096


  • Mobile Robotics  移动机器人

  • Robot Performance Evaluation, especially Map Evaluation  机器人性能评估(建图能力)

  • Mapping and Simultaneous Localization and Mapping (SLAM)  同步定位与建图

  • Robot Autonomy and Intelligence  机器人自主化与智能化


Sören Schwertfeger博士于2014年八月加入上海科技大学,担任助理教授一职。2005年Diploma(德国学位:硕士)毕业于不莱梅大学,2012年于不莱梅雅各布大学获得博士学位。2012至2014年,在雅各布大学Andreas Birk教授课题组担任博后。2010年,Schwertfeger博士在美国国家标准技术研究所(NIST)担任客座研究员;2015年,他在美国加州伯克利分校进行了为期两个月的学术访问。

目前,Schwertfeger博士的主要研究方向是机器人,尤其是移动机器人的智能化;已发表的工作包括地图评估、建图、物体检测以及机器人自主。此外,他还带领团队参加各项机器人竞赛,并担任RoboCup救援组的裁判和组织者。他曾担任2017年IEEE International Symposium on Safety,Security, and Rescue Robotics (SSRR)的大会主席。目前担任国际期刊IEEE Robotics and Automation Magazine的副主编,Journal of Field Robotics和IEEE Transactions on Cognitive and Developmental Systems的专题客座编辑。

Dr. Sören Schwertfeger joined ShanghaiTech University in August 2014 as an Assistant Professor. He graduated with a Diploma (German equivalent of the Master) in Computer Science in 2005 from the University of Bremen in Germany. In 2012 he received his Ph.D. in Computer Science from the Jacobs University Bremen. Between 2012 and 2014 he was a postdoctoral researcher at the Robotics Group of Prof. Andreas Birk at the Jacobs University Bremen. In 2010 Dr. Schwertfeger was a guest researcher at the National Institute of Standards and Technology (NIST) in Gaithersburg, Maryland, USA, and in 2015 he spend two months as a visiting researcher at University of California, Berkeley, USA.

His research interest is in robotics, especially inintelligent functions for mobile robots. Besides his work on map evaluation,Dr. Schwertfeger also worked and published on mapping, objectdetection and robot autonomy. He successfully participated in many robotcompetitions, both as team member and as judge and organizer. Dr. Schwertfegerwas the general chair of the 2017 IEEE International Symposium on Safety,Security, and Rescue Robotics (SSRR). He is an associate editor of the IEEERobotics and Automation Magazine and a guest editor for a special issue on SSRRin the Journal of Field Robotics as well as a guest editor for an IEEETransactions on Cognitive and Developmental Systems special issue on IntrospectiveMethods for Reliable Autonomy.


  1. Chavez, A. Gomez, Q. Xu, C. Atanas Mueller, S. Schwertfeger, and A. Birk, “Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): IEEE Press, 2019.

  2. Hou, J., Y. Yuan, and S. Schwertfeger, “Area Graph: Generation of Topological Maps using the Voronoi Diagram”, 19th International Conference on Advanced Robotics (ICAR): IEEE Press, 2019. 

  3. Yuan, Y., L. Wang, and S. Schwertfeger, “Configuration-Space Flipper Planning for Rescue Robots”, IEEE International Symposium on Safety, Security, Rescue Robotics (SSRR): IEEE Press, 2019.

  4. Kuang, H., Q. Xu, and S. Schwertfeger, “Depth Estimation on Underwater Omni-directional Images Using a Deep Neural Network”, Workshop on Underwater Robotics Perception, 2019 IEEE International Conference on Robotics and Automation (ICRA): IEEE Press, 2019.

  5. Schwertfeger, S., and K. Ohno, “Editorial: Special issue on safety, security, and rescue robotics”, Journal of Field Robotics, vol. 36, pp. 639-640, 2019.

  6. Hou, J., H. Kuang, and S. Schwertfeger, “Fast 2D Map Matching Based on Area Graphs”, 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO): IEEE, 2019.

  7. He, Z., J. Hou, and S. Schwertfeger, “Furniture Free Mapping using 3D Lidars”, 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO): IEEE, 2019.

  8. Chen, H., and S. Schwertfeger, “Heterogeneous Multi-sensor Calibration Based on Graph Optimization”, 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR): IEEE, 2019.

  9. Xu, Q., A. Gomez Chavez, H. Bülow, A. Birk, and S. Schwertfeger, “Improved Fourier Mellin Invariant for Robust Rotation Estimation with Omni-cameras”, 2019 26th IEEE International Conference on Image Processing: IEEE, 2019.

  10. Yuan, Y., and S. Schwertfeger, “Incrementally Building Topology Graphs via Distance Maps”, 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR): IEEE, 2019.