Large Language Models (LLMs) have emerged as powerful tools for enabling intuitive human-robot interaction through natural language. However, existing approaches often lack evaluated voice control in languages other than English, integrated vision, and comprehensive safety mechanisms. We present SMaRTAban (Smart Mult...
Eduard Zelenay, Maroš Kocúr, Martin Lukáč et al.· International Journal of Int...· 0 citations
A supervised framework that completes robot-centric elevation maps built from onboard sensing and reports a per-cell uncertainty, using a ray-cone augmentation that removes angular sectors anchored at the sensor origin during training to match the coverage gaps of real deployments.
J. Goga, Michal Kovac, Martin Dekan et al.· Applied Sciences· 0 citations
This paper presents a unified technical survey of Large Language Models (LLMs), connecting three layers of the modelling pipeline that existing surveys address in isolation: internal architecture, distributed training optimisation, and downstream adaptation. Its organising principle is the dependency between these laye...
Martin Lukáč, F. Duchoň, Jakub Ivan et al.· Applied Sciences· 1 citation
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