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RoboSAPIENS

Journal
Publications

Articles in Journals

  1. Tongtong Wang, Robert Skulstad, Motoyasu Kanazawa, Guoyuan Li and Houxiang Zhang (2025). Learning Nonlinear Dynamics of Ocean Surface Vessel with Multi-step Constraints. *IEEE Transactions on Industrial Informatics*.
    https://ieeexplore.ieee.org/document/1053427
  2. Peter G Larsen, Shaukat Ali, Roland Behrens, Ana Cavalcanti, Claudio Gomes, Guoyuan Li, Paul De Meulenaere, Mikkel L Olsen, Nikolaos Passalis, Thomas Peyrucain, Jesús Tapia, Anastasios Tefas and Houxiang Zhang (2024). Robotic Safe Adaptation In Unprecedented Situations: The RoboSAPIENS Project. *Research Directions: Cyber-Physical Systems*.
    https://doi.org/10.1017/cbp.2024.4
  3. Tongtong Wang, Robert Skulstad, Houxiang Zhang (2025). Physics-Informed Neural Networks for Robust System Identification of Ship Roll Dynamics with Noise Resilience. *IEEE Transactions on Industrial Informatics*.
    https://doi.org/10.1109/TII.2025.3534406
  4. Theodoros Manousis, Emmanouil Eleftheriadis, Nikolaos Passalis, Anastasios Tefas (2025). Leveraging active perception for real-time high-resolution pose estimation. Expert Systems with Applications.
    https://doi.org/10.1016/j.eswa.2025.126550
  5. Sanguino, Beatriz & Wang, Tongtong & Li, Guoyuan & Kjerstad, Øyvind & Zhang, Houxiang. (2025). Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model Estimation. Modeling, Identification and Control: A Norwegian Research Bulletin. 46. 35-49.
    https://doi.org/10.4173/mic.2025.1.3
  6. Spanos, Dimitrios & Passalis, Nikolaos & Tefas, Anastasios. (2025). Leveraging Subclass Learning for Improving Uncertainty Estimation in Deep Learning. Neurocomputing. 651. 130954.
    https://doi.org/10.1016/j.neucom.2025.130954
  7. Spanos, Dimitrios & Passalis, Nikolaos & Tefas, Anastasios. (2025). Trustworthy Knowledge Distillation via Anchor-Guided Distribution Learning. Knowledge-Based Systems. 329. 114297.
    https://doi.org/10.1016/j.knosys.2025.114297
  8. Katsikas, Dimitrios & Passalis, Nikolaos & Tefas, Anastasios. (2025). Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss. IEEE transactions on neural networks and learning systems. PP.
    https://doi.org/10.1109/TNNLS.2025.3580892
  9. Dimitrios Spanos, Nikolaos Passalis, Anastasios Tefas (2025) Improving uncertainty estimation in deep neural networks by modeling class and instance uncertainty. Volume 171, Part B.
    https://doi.org/10.1016/j.patcog.2025.112267
  10. V. Kanatas, N. Passalis, T. Wang, B. Sanguinoc, H. Zhangc, G. Li and A. Tefas. Anchor-Based Adaptation for Modeling Vessel Maneuvering Dynamics. Volume 341, Part 4.
    https://doi.org/10.1016/j.oceaneng.2025.122722
  11. S. Pasios and N. Nikolaidis, “CARLA2Real: A Tool for Reducing the Sim2real Appearance Gap in CARLA Simulator,” in IEEE Transactions on Intelligent Transportation Systems.
    https://doi.org/10.1109/TITS.2025.3597010
  12. H. Sartaj, J. Boudjadar, M. Frasheri, S. Ali and P. G. Larsen, “Identifying Uncertainty in Self-Adaptive Robotics With Large Language Models,” in IEEE Software, vol. 43, no. 1, pp. 89-97, Jan.-Feb. 2026, https://doi.org/10.1109/MS.2025.3620578