Fotis Lygerakis

Robotics AI Engineer & Consultant - Robot Learning & Deployment Lead

Yia sou*, I’m Fotis!

I have been building robotic systems that perceive, learn, and operate in the real world since 2018.

At Acumino, I lead robot learning and technical delivery for industrial robotics deployments, working across perception, motion planning, control, and system integration.

My research has been focused on learning for robotic manipulation, particularly how robots combine vision and touch. I’m completing my PhD at Montanuniversität Leoben, Austria.

*Greek for ‘hi,’ pronounced ‘yah soo.’

Bio

I’m a Robotics AI engineer based in Athens, Greece, working across robot learning, perception, and deployment.

At Acumino, I lead the Robot Learning group and technical delivery for industrial robotics projects, translating customer requirements and factory constraints into working systems.

My work spans the full robotics stack: from collecting data and developing learning algorithms to integrating perception, motion planning, and control on physical hardware. I enjoy solving the problems that emerge when these components have to work together reliably outside the lab.

I’m completing my PhD at Montanuniversität Leoben, where my research explores how robots learn representations from vision and touch for manipulation. My work includes self-supervised learning, multimodal transformers, and reinforcement learning, with publications at ICRA and TMLR and a Best Student Paper Award at Ubiquitous Robotics 2024.

I’m particularly interested in bringing research into practical use, and letting the challenges of deployment inform what we research next.