Thomas Braunl

Professor, Dip(Info) Kaiserslautern, MS S.Calif., PhD DrHabil Stuttgart, MIEEE

  • The University of Western Australia (M018), 35 Stirling Highway,

    6009 Perth


  • M468
    35 Stirling Highway


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Personal profile


Thomas Bräunl is a Professor in the Faculty of Engineering and Mathematical Sciences of The University of Western Australia, Perth, where he directs the Robotics & Automation Lab as well as the Renewable Energy Vehicle Project (REV). He has developed numerous robotics systems, including the EyeBot robot family and the EyeSim simulation system. On the automotive side, he has done research on electric drive and charging systems, and is developing AI solutions for autonomous driving. Professor Bräunl worked on Driver-Assistance Systems with Mercedes-Benz Stuttgart and on Electric Vehicle Charging Systems with BMW Munich and BMW Mountain View. He holds a Diploma from the University of Kaiserslautern, an M.S. degree from the University of Southern California, Los Angeles, and a Ph.D. and Habilitation from the University of Stuttgart.


Roles and responsibilities

Head, CIIPS Research Group
Director, REV Project
Technical Director, WA Electric Vehicle Trial



Electromobility, Autonomous Driving, Robotics, Simulation Systems.
Latest book: Robot Adventures (Springer 2020)


Current projects

  • Autonomous Shuttle Bus with own hardwarwe/software
  • Hydrofoil electric jetski
  • End-to-end deep learning systems for autonomous robots
  • State-wide EV charging infrastructure for WA


Teaching philosophy

Robotics & Automation and Digital Embedded Systems:
You have not really understood a subject until you are able to build it.


Community engagement

REV public Electric Vehicle charging network for the Perth metro area

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

Research expertise keywords

  • Electromobility
  • Automotive systems
  • Robotics
  • Embedded systems
  • Image processing
  • Parallel processing


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Collaborations and top research areas from the last five years

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