Dr Russell Brinkworth

Associate Professor in Autonomous Systems

College of Science and Engineering

place Tonsley Building (4.31)

My goal is to bring robotics out of the lab and into the real-world. To stop having to adapt our environments to suit artificial systems and build artificial systems with the ability to adapt to different environments. To contribute to the technological and scientific progress of Australia both directly and by helping to guide future generations of entrepreneurs and engineering professionals.

I have had over a decade of postdoctoral research, teaching and administration experience in a wide variety of areas, all concentrated on the use of technology to understand, interact with and predict the world. My passions are to make robotics more accessible and flexible by using neuroscience and computer modelling of complex biological systems. I firmly believe that the fusion of neuroscience, medicine, engineering, biochemistry and physiology in the form of Systems Biology is the way forward to unlock many of the next big discoveries.


2008: Graduate Certificate in Education, the University of Adelaide

2004: PhD in Physiology, the University of Adelaide

2000: Bachelor of Engineering (biomedical), Honours 1st class, Flinders University

1999: Bachelor of Science, Flinders University

Topic coordinator
ENGR7712 Autonomous Systems
ENGR7711 Advanced Control Systems
ENGR3711 Control Systems
ENGR9721 Control Systems GE
Supervisory interests
Artificial intelligence and image processing
Autonomous vehicles
Control of robotic platforms
Image processing
Nonlinear and adaptive control systems
Nonlinear signal processing
Robotic sensor processing
Signal and image processing
Signals processing
Expert for media contact
Engineering - Electrical and Electronic
Autonomous Systems
Biologically Inspired Robotics
Machine Vision
Signal Processing
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0427 398 713
Media expertise
  • Defence
  • Engineering - Electrical and Electronic
  • Neuroscience
  • Autonomous Systems
  • Biologically Inspired Robotics
  • Machine Vision
  • Signal Processing