Portrait of Dmytro Kuzmenko

Dmytro Kuzmenko

Head of AI @ OnlyMonster·PhD Candidate @ NaUKMA·Visiting PhD @ AIRlab, UniTo

I am a researcher working in robotics, machine learning, and human-robot interaction, with a focus on efficient and reliable intelligent systems. I have experience conducting research and supervising student work, alongside developing AI systems in applied settings.

My work bridges methodological research and real-world implementation, with an emphasis on reinforcement learning and physical intelligence. I am actively engaged in international collaboration and regularly present my work at conferences. In addition to my research, I am committed to teaching, mentoring, and fostering a collaborative research environment.

If you want to reach out, don't hesitate to send me an 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
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
MoIRA preprint thumbnail
MoIRA: Modular Instruction Routing Architecture for Multi-Task Robotics
D. Kuzmenko, N. Shvai
Neurocomputing, 2026
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
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
View all publications (10)

Academic Service

Teaching

Senior Lecturer, NaUKMA
13 undergraduate theses supervised

Courses: