Fotios (Fotis) Lygerakis
Hi! My name is Fotis and I am a doctoral student and university assistant at the Chair of Cyber-Physical Systems at the University of Leoben in Austria!
My goal is to advance machine learning and robotics, aiming to mimic human learning processes through abstraction, incremental conclusions, transfer learning, and creativity.
News
September 2024
Attended the first Touch Sensing and Processing Summer School!
Featured on the cover of Computer Vision News.
August 2024
Invited talk at the Technical University of Crete.
Blog post on Diffusion Policy is out! Read here!
July 2024
I gave a contributed talk at the International Workshop of Intelligent Autonomous Learning Systems 2024
Accepted at the Touch Sensing and Processing Summer School 2024 with a full scholarship!
June 2024
I was invited to give a talk on my research at the CILVR group at New York University.
Received the Best Student Paper Award at the 2024 21st Ubiquitous Robotics Conference for the paper "M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation"! Many thanks to my co-authors for this achievement.
Presented the paper "M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation" at the 2024 21st Ubiquitous Robotics Conference.
Successfully presented my exposé (PhD milestone). [video]
Turned 30! 🎂
May 2024
Presented our "Self-Supervised Visual-Tactile Representation Learning via Multimodal Contrastive Training" paper at the 2024 IEEE International Conference on Robotics and Automation (ICRA)
Contributed two (2) workshop papers to the ICRA 2024 ProxyTouch workshop.
Research
My research interests are centered on
- Representation Learning & Visuotactile Fusion with contrastive and non-contrastive self-supervised methods
- Robot Learning with Imitation Learning, Reinforcement Learning, and Sim2Real transfer
