Portrait of Dmytro Kuzmenko

Dmytro Kuzmenko

Assistant Professor @ NaUKMA·Research Fellow @ AIRlab, UniTo
CV Scholar GitHub LinkedIn X

My name is Dmytro and I am a machine learning researcher working on human-compatible embodied intelligence at the intersection of reinforcement learning, robotics, foundation models, and human-robot interaction. I am particularly interested in intelligent systems that can continuously learn, adapt, and make decisions in complex, real-world environments that people share.

I am an Assistant Professor at NaUKMA where I teach across machine learning, reinforcement learning, computer vision, and NLP. Alongside teaching, I am building and supervising student research projects. I have completed my PhD in Computer Science under the supervision of Dr. Nadiya Shvai and I am currently a research fellow at AIRLab, University of Turin, working on assistive and socially intelligent human-robot interaction.

If you would like to discuss research, collaboration, or related opportunities, feel free to reach out by email.

News

Selected Publications

Proxemic risk assessment results thumbnail
Can Vision-Language Models Assess Proxemic Risk from Egocentric Robot Images?
V. Rudas, D. Kuzmenko
EMR Workshop at the European Conference on Computer Vision (ECCV), 2026
arXiv 
@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},
                }
Digital twin calibration pipeline thumbnail
Trajectory Design and Budgeted Querying for Digital Twin Calibration
V. Spitkovska, D. Kuzmenko
CDEL Workshop at the European Conference on Computer Vision (ECCV), 2026
arXiv 
@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},
                }
MoIRA preprint thumbnail
MoIRA: Modular Instruction Routing Architecture for Multi-Task Robotics
D. Kuzmenko, N. Shvai
Neurocomputing, 2026
Full paper arXiv 
@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},
}
EED Gym thumbnail
When Robots Say No: The Empathic Ethical Disobedience Benchmark
D. Kuzmenko, N. Shvai
ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2026
arXiv Code Website 
@article{kuzmenko2025eedgym,
          title   = {When Robots Say No: The Empathic Ethical Disobedience Benchmark},
          author  = {Kuzmenko, Dmytro and Shvai, Nadiya},
          year    = {2025},
          note    = {Accepted at the ACM/IEEE International Conference on Human-Robot Interaction (HRI 2026). Preprint: arXiv:2512.18474},
          doi     = {10.48550/arXiv.2512.18474},
        }
TD-MPC-Opt preprint thumbnail
TD-MPC-Opt — Distillation & Quantization for Efficient Multi-Task Model-Based RL
D. Kuzmenko, N. Shvai
Preprint (under review), 2025
arXiv Code 
@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},
                }
View all publications (10)

Academic Service

Teaching

Senior Lecturer, NaUKMA
13 undergraduate theses supervised

Courses: