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
Autonomous navigation between narrow vineyard rows requires respecting the platform’s dynamics, which trajectory optimizers such as CHOMP and STOMP resolve in batch before motion and again whenever the map changes, so local navigation is cast as a continuous-control Markov decision process whose actions are the per-tra...
Filip Zúbek, Oliver Halaš, V. Skokan et al.· Journal of Electrical Engine...· 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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