Researcher
Research focus: Computer vision and machine learning in industrial applications.
I’m a researcher at the Testbed for Industry 4.0, where I get the exciting chance to bridge the gap between cutting-edge academic research and real-world industrial development. This unique position allows me to leverage the knowledge I gained from my Master’s in Cybernetics and Robotics at CTU FEE, while constantly expanding my expertise.
My research focuses on utilizing computer vision and machine learning for industrial applications. In particular, I’m interested in 6D Pose Estimation, View Synthesis, and Mesh Reconstruction using RGB cameras. These techniques have the power to revolutionize manufacturing by introducing greater flexibility, moving away from the current reliance on pre-programmed robotic movements. To ensure the seamless deployment and testing of these methods, I also delve into communication and control software for effective integration within robotic cells.
What is your personal motivation for a research career?
My personal motivation for becoming researcher was the opportunity to never stop learning. This is especially important nowadays as the advances in machine learning, computer vision and robotics seems to only accelerate faster and faster. Furthermore, making something which will enrich our society even by a little bit is fullfiling on its own.
Would you have any piece of good advice for students?
As a recent master’s graduate, my main advice would be to find balance in all aspects of your life. Finding this balance is, however, hard as it is highly dependent on each and every person. To illustrate this point, as it happens to many people, I got stuck at a problem and could not solve it. But following advice from my dad to take our dog and go for a walk, when I returned and try looking at the problem again I finally solved it. So please take care of yourself and don’t focus only on one thing and nothing else.
What do you find the most challenging as a researcher?
Something which I found to be most challenging, specifically for me, is self-doubt. Especially, during research you can get stuck at certain problems, and you have to predict if you hit brick wall or small fence. Then you have to choose if you will go through it or around it and accept the consequences.
