All Publications

@misc{rudas2026proxemic,
                      title={Can Vision-Language Models Assess Proxemic Risk from Egocentric Robot Images?},
                      author={Vladyslava Rudas and Dmytro Kuzmenko},
                      year={2026},
                      eprint={2608.12515},
                      archivePrefix={arXiv},
                      primaryClass={cs.CV},
                      note={Accepted at the EMR 2026 workshop at ECCV 2026 (non-archival)},
                      url={https://arxiv.org/abs/2608.12515},
                }

@misc{spitkovska2026trajectory,
                      title={Trajectory Design and Budgeted Querying for Digital Twin Calibration},
                      author={Vladyslava Spitkovska and Dmytro Kuzmenko},
                      year={2026},
                      eprint={2608.08631},
                      archivePrefix={arXiv},
                      primaryClass={cs.LG},
                      note={Accepted at the CDEL 2026 workshop at ECCV 2026 (non-archival)},
                      url={https://arxiv.org/abs/2608.08631},
                }

@article{KUZMENKO2026132962,
title = {MoIRA: Modular instruction routing architecture for multi-task robotics},
journal = {Neurocomputing},
volume = {674},
pages = {132962},
year = {2026},
issn = {0925-2312},
doi = {https://doi.org/10.1016/j.neucom.2026.132962},
url = {https://www.sciencedirect.com/science/article/pii/S0925231226003590},
author = {Dmytro Kuzmenko and Nadiya Shvai},
}

@inproceedings{kuzmenko2026eedgym,
  title     = {When Robots Say No: The Empathic Ethical Disobedience Benchmark},
  author    = {Kuzmenko, Dmytro and Shvai, Nadiya},
  booktitle = {Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
  pages     = {168--176},
  year      = {2026},
  publisher = {ACM},
  doi       = {10.1145/3757279.3785547},
}

@article{beimuk2025energy,
                  title={Energy conservation for autonomous agents using reinforcement learning},
                  author={Beimuk, V. and Kuzmenko, D.},
                  journal={NaUKMA Research Papers. Computer Science},
                  volume={8},
                  pages={68--75},
                  year={2025},
                  doi={10.18523/2617-3808.2025.8.68-75}
                }

@misc{kuzmenko2025tdmpcoptdistillingmodelbasedmultitask,
                      title={TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents},
                      author={Dmytro Kuzmenko and Nadiya Shvai},
                      year={2025},
                      eprint={2507.01823},
                      archivePrefix={arXiv},
                      primaryClass={cs.LG},
                      url={https://arxiv.org/abs/2507.01823},
                }

@inproceedings{10.5555/3709347.3743949,
                  author = {Kuzmenko, Dmytro and Shvai, Nadiya},
                  title = {Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning},
                  year = {2025},
                  isbn = {9798400714269},
                  publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
                  address = {Richland, SC},
                  booktitle = {Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems},
                  pages = {2597-2599},
                  numpages = {3},
                  keywords = {efficient rl agents, knowledge distillation, model compression, model-based reinforcement learning, multi-task learning},
                  location = {Detroit, MI, USA},
                  series = {AAMAS '25}
                }

@incollection{KuzmenkoShvai2025ZeroShotNavigation,
                title     = {Balancing Performance and Efficiency in Zero-Shot Robotic Navigation},
                author    = {Kuzmenko, Dmytro and Shvai, Nadiya},
                booktitle = {Information and Communication Technologies in Education, Research, and Industrial Applications},
                series    = {Communications in Computer and Information Science},
                volume    = {2359},
                pages     = {370--381},
                year      = {2025},
                publisher = {Springer, Cham},
                doi       = {10.1007/978-3-031-81372-6\_28},
                url       = {https://doi.org/10.1007/978-3-031-81372-6_28}
              }

@article{Kurbis2024StairNet,
                    title   = {StairNet: Visual Recognition of Stairs for Human-Robot Locomotion},
                    author  = {Kurbis, Andrew Garrett and Kuzmenko, Dmytro and Ivanyuk-Skulskiy, Bogdan and Mihailidis, Alex and Laschowski, Brokoslaw},
                    journal = {BioMedical Engineering OnLine},
                    volume  = {23},
                    number  = {20},
                    year    = {2024},
                    doi     = {10.1186/s12938-024-01216-0},
                    url     = {https://doi.org/10.1186/s12938-024-01216-0}
                  }

@INPROCEEDINGS{10341654,
                  author={Kuzmenko, Dmytro and Tsepa, Oleksii and Kurbis, Andrew Garrett and Mihailidis, Alex and Laschowski, Brokoslaw},
                  booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
                  title={Efficient Visual Perception of Human-Robot Walking Environments Using Semi-Supervised Learning},
                  year={2023},
                  volume={},
                  number={},
                  pages={6544-6549},
                  keywords={Legged locomotion;Training;Supervised learning;Semisupervised learning;Transformers;Real-time systems;Standards},
                  doi={10.1109/IROS55552.2023.10341654}}