• F. Lygerakis, V.Dave, E. Rueckert, M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation, 2024, 21st International Conference on Ubiquitous Robots (UR2024). [Best Student Paper Award]

• V.Dave*, F. Lygerakis*, E. Rueckert (*Equal Contribution), Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training, IEEE International Conference on Robotics and Automation (ICRA), 2024

• F. Lygerakis, E. Rueckert, CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse, 7th Asian Conference on Artificial Intelligence (ACAIT), 2023

• F. Lygerakis, M. Dagioglou, V. Karkaletsis, Accelerating Human-Agent Collaborative Reinforcement Learning, PETRA 21, 2021

• F. Lygerakis, A. C. Tsitos, M. Dagioglou, F. Makedon, V. Karkaletsis “Evaluation of 3D markerless pose estimation accuracy using OpenPose and depth information from a single RGB-D camera,” PETRA 20

• F. Lygerakis, V. Diakoloulas, M. Lagoudakis, M. Kotti, "Robust Belief State Space Representation for Statistical Dialogue Managers Using Deep Autoencoders," 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Singapore, 2019

Journal Publications