1 citations · 1 across the 8 of their papers we have counts for
8 papers
Can Vision-Language Models Assess Proxemic Risk from Egocentric Robot Images?
Vladyslava Rudas, Dmytro Kuzmenko
Assessing proxemic danger from a robot's egocentric perspective is critical for safe embodied navigation in human environments and requires both visual and contextual reasoning. We…
Trajectory Design and Budgeted Querying for Digital Twin Calibration
Vladyslava Spitkovska, Dmytro Kuzmenko
Digital-twin calibration requires interaction data that is expensive to collect. We study two acquisition decisions: which trajectories to generate, and when to spend a limited bud…
When Robots Say No: The Empathic Ethical Disobedience Benchmark
Dmytro Kuzmenko, Nadiya Shvai
Robots must balance compliance with safety and social expectations as blind obedience can cause harm, while over-refusal erodes trust. Existing safe reinforcement learning (RL) ben…
TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents
Dmytro Kuzmenko, Nadiya Shvai
We present a novel approach to knowledge transfer in model-based reinforcement learning, addressing the critical challenge of deploying large world models in resource-constrained e…
MoIRA: Modular Instruction Routing Architecture for Multi-Task Robotics
Dmytro Kuzmenko, Nadiya Shvai
Mixture-of-Experts (MoE) approaches have recently gained traction in robotics applications due to their ability to dynamically allocate computational resources and specialize sub-n…
Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning
Dmytro Kuzmenko, Nadiya Shvai
We propose an efficient knowledge transfer approach for model-based reinforcement learning, addressing the challenge of deploying large world models in resource-constrained environ…
Balancing Performance and Efficiency in Zero-shot Robotic Navigation
Dmytro Kuzmenko, Nadiya Shvai
We present an optimization study of the Vision-Language Frontier Maps (VLFM) applied to the Object Goal Navigation task in robotics. Our work evaluates the efficiency and performan…
StairNet: Visual Recognition of Stairs for Human-Robot Locomotion
Andrew Garrett Kurbis, Dmytro Kuzmenko, Bogdan Ivanyuk-Skulskiy +2
Human-robot walking with prosthetic legs and exoskeletons, especially over complex terrains such as stairs, remains a significant challenge. Egocentric vision has the unique potent…