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.
I am actively seeking a Research Intern role at the intersection of Robotics and Machine Learning, preferably focusing on visuotactile fusion and imitation learning.
I would greatly appreciate a heads-up if you have any leads or opportunities!
News
October 2024
Blog post on my experience in TED AI Vienna.
Volunteering at Ted's first-ever conference on AI in Europe.
September 2024
Blog post on Action Chunking is out! Read here!
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
Specifically, my work is dedicated to advancing the fields of representation learning and visuotactile robot learning, targeting manipulation tasks. This involves exploring innovative ways to enable robots to understand and interact with their environment through visual and tactile feedback, enhancing their ability to perform complex and tactile-rich manipulation tasks.
I am also contributing to human-robot interaction projects and developing interfaces for robotic manipulation.
Portfolio
Talks & Tutorials
Exposé presentation
Deep Representation Learning
PyTorch Tutorial
Conference Services
Reviewing
IROS
IJRR
IEEE Intelligent Systems
Humanoids
ECAI
Organizing Committee
ECESCON 9
PETRA 2021
Workshop Chair
AI and Digital Technologies in Coronavirus Pandemic and Beyond, PETRA 2021
Teaching & Volunteering Services
Teaching Assistant
Introduction to Machine Learning Lab
Applied Machine and Deep Learning
Outreach & Volunteering
TED AI Vienna 2024