Picture of Edmond Irani Liu

Edmond Irani Liu, M.Sc.

Technical University of Munich

Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)

Postal address

Boltzmannstr. 3
85748 Garching b. München

Curriculum Vitae

Edmond Irani Liu joined the Cyber-Physical Systems Group in 2019 as a Research Assistant and Ph.D. student under the supervison of Prof. Dr.-Ing. Matthias Althoff. In 2015 and 2018,  he received his bachelor's degree in Automation and master's degree in Control Science and Engineering, both from Shanghai Jiao Tong University, respectively.

His current research focuses on provably safe cooperative driving of automated vehicles. He is a participant in the project Cooperative and Intrinsically-Correct Control of Vehicles in Diverse Environments (CoInCiDE) within Priority Program Cooperatively Interacting Automobiles (SPP1835), funded by German Research Foundation (DFG).

Offered Thesis Topics

I am always looking for self-motivated students to solve interesting problems arising in my research areas. If you are interested in one of the currently available topics, simply send me a mail with your up-to-date CV and transcript of records attached. A guide to write good thesis can be found here.

Currently Available:


Teaching Experience

  • Practical course - Motion Planning for Autonomous Vehicles (since WS 2019)
    • CommonRoad Benchmark Scenarios Generation
    • Developing a Hierarchical A* Motion Planning Algorithm
    • Improving Graph Search-Based Motion Planning Algorithm
    • Formation of Cooperative Groups fo Automated Vehicles
  • Seminar course -  Cyber-Physical Systems (since WS 2019)
    • Safe and Efficient Cooperation Strategy at Intersections



  • Irani Liu, Edmond; Wang, Jingchuan; Chen, Weidong: A Localizability Constraint-Based Path Planning Method for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems 20 (7), 2019, 2593-2604 more… Full text ( DOI )


  • Irani Liu, Edmond; Chen, Weidong; Wang, Jingchuan: A Localizability Constraint-Based Path Planning Method for Unmanned Aerial Vehicle. In: Intelligent Autonomous Systems 15. Springer International Publishing, 2018 more… Full text ( DOI )

Last updated: 22.03.2020