LATIDIA · Robótica

Intercambio de mapas semánticos y planificación de cobertura consciente de la capacidad para la coordinación robótica 6G nativa de IA

arXiv:2609.37666v1 Tipo de anuncio: nuevo Resumen: las operaciones de búsqueda y rescate (SAR) despliegan cada vez más equipos heterogéneos de robots aéreos y terrestres. Sin embargo, los métodos de cobertura convencionales generalmente no traducen pe

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arXiv:2609.37666v1 Announce Type: new Abstract: Search and Rescue (SAR) operations increasingly deploy heterogeneous teams of aerial and ground robots. However, conventional coverage methods typically do not translate perceived terrain into platform-specific reachability, while continuous image exchange imposes a high communication cost. We propose an edge-centric, semantic-aware coverage planning framework that integrates aerial terrain perception, robot-specific traversability reasoning, and payload-efficient semantic state sharing. Aerial observations are converted into compact semantic grid maps, enabling reachability-constrained area decomposition and capability-aware coverage paths that assign only regions admitted by each robot's capability profile. The resulting perception-sharing-planning loop feeds semantic corrections into traversability reasoning and replanning, forming an application-level mechanism motivated by AI-enabled goal-oriented communication