Publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. otql_thumbnail.gif
    Optimal Transport Q-Learning for Flow Policy Steering and Acceleration
    Andreas Sochopoulos, Esmeralda S. Whitammer, Nikolaos Tsagkas, João Moura, Michael Gienger, and Sethu Vijayakumar
    In ArXiv Preprint, 2026
    arXiv HTML
  2. w2vla_thumbnail.gif
    Decoupling the Declarative from the Procedural in Vision-Language-Action Models
    Nikolaos Tsagkas, Andreas Sochopoulos, Chris Xiaoxuan Lu, Oisin Mac Aodha, and Alexandros Kouris
    In ArXiv Preprint, 2026
    arXiv HTML
  3. afa_thumbnail_smaller.gif
    Attentive Feature Aggregation, Or: How Policies Learn to Stop Worrying about Robustness and Attend to Task-Relevant Visual Cues
    Nikolaos Tsagkas, Andreas Sochopoulos, Duolikun Danier, Sethu Vijayakumar, Alexandros Kouris, and Oisin Mac Aodha
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Pittsburgh, USA, 2026
    arXiv HTML Code
  4. temporal_thumbnail.gif
    The Temporal Trap: Entanglement in Pre-Trained Visual Representations for Visuomotor Policy Learning
    Nikolaos Tsagkas, Andreas Sochopoulos, Duolikun Danier, Chris Xiaoxuan Lu, and Oisin Mac Aodha
    In International Conference on Robotics and Automation (ICRA), Vienna, Austria, 2026
    arXiv HTML Code

2025

  1. zipper_16fps_240.gif
    Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings
    Andreas Sochopoulos, Nikolay Malkin, Nikolaos Tsagkas, João Moura, Michael Gienger, and Sethu Vijayakumar
    In Conference on Robot Learning (CoRL), Seoul, South Korea, 2025
    arXiv HTML Code
  2. pvrobo_thumbnail_distractors_short.gif
    When Pre-trained Visual Representations Fall Short: Limitations in Visuo-Motor Robot Learning [Oral EAI@CVPR25]
    Nikolaos Tsagkas, Andreas Sochopoulos, Duolikun Danier, Chris Xiaoxuan Lu, and Oisin Mac Aodha
    In ArXiv Preprint, 2025
    arXiv HTML Code

2024

  1. stablenode.gif
    Learning deep dynamical systems using stable neural ODEs
    Andreas Sochopoulos, Michael Gienger, and Sethu Vijayakumar
    In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
    arXiv