Research Assistant
Liding Zhang, M.Sc.
Technische Universität München
Dienstort
Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)
Boltzmannstr. 3(5607)/III
85748 Garching b. München
Tel: +49 89 289 18112
Raum: 5607.03.054
E-mail: liding.zhang@tum.de
Sprechstunde: per Email
Academic (WebPage) , Publication List (Google Scholar), and Repositories (Github)
Curriculum Vitae
Since October 2022, I have been a Ph.D. candidate at the Chair of Robotics, Artificial Intelligence and Real-Time Systems at the Technical University of Munich (TUM), under the supervision of Prof. Alois Knoll. My research centers on sampling-based almost-surely asymptotically optimal (a.s.a.o) motion planning, high-DOF multi-robot manipulation and collaboration, coordinated control of mobile robot fleets, and other related areas in advanced robotics.
Previously, I received my Master’s degree in Mechanical Engineering and Automation Technology from the Technical University of Clausthal, Germany in 2022, and my Bachelor’s degree in Mechanical Engineering from Rhine-Waal University of Applied Sciences, Germany in 2020. Currently, I have also worked as a researcher and project associate in several nationally and EU-funded robotics projects, including Bavarian State Project KI.FABRIK, DARKO-Project, etc.
My work explores planning and control strategies for multi-modal robotic systems, with a particular focus on real-time performance and geometric reasoning. I have published in leading robotics conferences and journals such as ICRA, IROS, T-ASE, T-Mech, RA-L, etc..
If you are interested in working on robotics-related research topics or thesis projects, feel free to reach out to me via email with your background and interests.
Community Services
Editor:
Chair:
- 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Teaser Session of Robot Motion Planning IV, ADNEC in Abu Dhabi, UAE.
- 2025 IEEE International Conference on Cyborg and Bionic Systems (CBS), Teaser Session of Motion Planning and Control T2, Empark Grand in Beijing, China.
Reviewer:
- IEEE Transactions on Robotics (T-RO),
- IEEE Transactions on Cybernetics (TCYB),
- IEEE Transactions on Automation Science and Engineering (T-ASE),
- IEEE/ASME Transactions on Mechatronics (T-Mech),
- IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMCS),
- IEEE Robotics and Automation Letters (RA-L)，
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS),
- IEEE Transactions on Cognitive and Developmental Systems (TCDS),
- Autonomous Robots,
- International Journal of Intelligent Robotics and Applications,
- Computers and Electronics in Agriculture,
- Biomimetic Intelligence and Robotics,
- Journal of the Franklin Institute,
- Annals of Mathematics and Artificial Intelligence,
- Discover Artificial Intelligence,
- Nature - Scientific Reports,
- Evolutionary Intelligence,
- IEEE International Conference on Robotics and Automation (ICRA),
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
- IEEE-RAS International Conference on Humanoid Robots (Humanoids),
- IEEE International Conference on Cyborg and Bionic Systems (CBS),
On-going Theses
Currently, we have a small group of bachelor's/master's students working on several topics, including LLM-based risk map semantic segmentations, task and motion planning, multi-robot coordination, and sampling-based algorithms. Some of the theses have successfully been published in peer-reviewed conferences and journals.
