George Kamaras

PhD student

George is a Robotics and Autonomous Systems PhD student in the School of Informatics at the University of Edinburgh and is also affiliated with the Edinburgh Centre for Robotics. His research focuses on using probabilistic parameter inference within an integrated Real2Sim2Real framework for robotic manipulation, with a current focus on dynamically manipulating deformable linear objects using only vision and proprioception. He received his BSc in Informatics and Telecommunications from the National and Kapodistrian University of Athens and has also spent time at CERN and NCSR “Demokritos”.

Tell us about your journey before you joined the Centre for AI in Assistive Autonomy?

I was a member of the Robust Autonomy and Decisions Group (RAD) working with Prof. Subramanian Ramamoorthy where I conducted my PhD studies.

What motivates you to work in this area?

Coming from a computer science background, I find particularly intriguing how robotics bridge computation and physical interaction. Beyond an unprecedented range of applications, this challenges our very own understanding of how we perceive the world around us, how we reason about it, and how we condition our actions on this reasoning.

What do you love about Edinburgh?

Its blend of classic architecture, modern academic facilities and unique natural landscape.