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Author

Martin Dekan

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Open access Aug 2026

Robot-Centric Elevation Map Completion with Sensor Geometry-Aware Augmentation and Uncertainty Estimation

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. · 0 citations
Open access Aug 2026

Dynamics-aware local trajectory control of a tracked vineyard robot via deep reinforcement learning

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. · 0 citations
Review Open access Aug 2026

Large Language Models: From Internal Architecture and Distributed Training Optimisation to Adaptation Strategies

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. · 1 citation

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