Sören Schwertfeger 师泽仁
Assistant Professor at the School of Information Science and Technology of ShanghaiTech University
Ph.D. in Computer Science (Advisor: Prof. Dr. Andreas Birk, Jacobs University, Germany)
Diplom Informatiker (FB3, University of Bremen, Germany)
- Office: SIST building, Room 1D-201.A (floor plan)
- Address: 393 Huaxia Middle Road, Pudong, Shanghai 201210, China
- Baidu maps, Google maps
- Lab: SIST building, Room 1D-203 (floor plan)
- Directions how to reach the STAR Center: pdf
- E-Mail: soerensch (at) shanghaitech.edu.cn
- View my profile
- Lab assistant: Shen Yongxia 沈永霞
- This site: robotics.shanghaitech.edu.cn
- Faculty list: sist.shanghaitech.edu.cn/StaffDetail.asp?id=350
- Private (with my older robotics projects): s-schwertfeger.eu
- Publications: Google Scholar
Chinese name: 师泽仁 : 师 Shī (for Schwertfeger - means Teacher) 泽 zé 仁 rén (for Sören - zé: beneficence; rén: benevolence)
If you want to know a little more about my background you can read an article about me in the 6th SIST newsletter. Some of my previous robotics projects from my time at the Jacobs Robotics Group are shortly presented here.
My CV is available here.
I am interested in mobile robotics, especially in intelligent robotic capabilities like mapping and autonomy. As a computer scientist my focus is on programming novel algorithms for robotic applications. One particular application of special interest is search and rescue robotics. The Rescue Robotics Project will aim to build robots that can autonomously explore an area and search for vicitms - in very difficult terrain. For that, the robots will use state of the art hardware and advanced algorithms developed by the Robotics Group.
In another line of research I evaluate the performance of robotic capabilities. In particular, I am interested in the assessment of the quality of robot generated maps. Creating maps and localization in the map is an essential task for most robotics applications, thus my great interest in this topic. The evaluation of generated maps is very important to be able to make assessments about the performance of mapping algorithms. A topology representation is extracted from the 2D grid maps and compared to the topology of a ground truth map. My aim is to make the algorithms proposed in my PhD thesis more robust and extend them to 3D.