Shangding Gu, M.Sc.

E-Mail shangding.gu(at)tum.de
Address Boltzmannstr. 3
85748 Garching b. München
Gemany
Office hours appointment by email

Curriculum Vitae

Shangding Gu is a Ph.D. student at the Chair of Robotics, Artificial Intelligence and Real-time Systems, under the supervision of Prof. Knoll. Before studying in Munich, he was a research assistant at Institute of Automation, Chinese Academy of Sciences, and Tongji University. His research currently focuses on developing artificial intelligence methods and models, with a special interest in exploring the theory of reinforcement learning and motion planning for robotics, in which his goal is to enable robots to know how to learn, reason and plan, and enable robots to work in support of people.

If you are interested in the above topics, please feel free to contact me indicating your background and skills.


Offered Theses

  • Topic 1: Multi-Robot Navigation
  • Topic 2: Trusted Reinforcement Learning

Ongoing Topic:

  • Safe Reinforcement Learning

I am looking for self-motivated students who have strong mathematical background or coding ability to solve some interesting problems with me.


Demos


Reviewer for

As a reviewer for some journals (JCR:Q1), such as journal of navigation, ocean engineering, applied ocean research, IEEE access, etc.


Publications

See Google Scholar