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A Methodology for Designing Knowledge-Driven Missions for Robots

2026-01-28 17:39:03
Guillermo GP-Lenza, Carmen DR. Pita-Romero, Miguel Fernandez-Cortizas, Pascual Campoy
arXiv_RO
           
Abstract

This paper presents a comprehensive methodology for implementing knowledge graphs in ROS 2 systems, aiming to enhance the efficiency and intelligence of autonomous robotic missions. The methodology encompasses several key steps: defining initial and target conditions, structuring tasks and subtasks, planning their sequence, representing task-related data in a knowledge graph, and designing the mission using a high-level language. Each step builds on the previous one to ensure a cohesive process from initial setup to final execution. A practical implementation within the Aerostack2 framework is demonstrated through a simulated search and rescue mission in a Gazebo environment, where drones autonomously locate a target. This implementation highlights the effectiveness of the methodology in improving decision-making and mission performance by leveraging knowledge graphs.

Abstract (translated)

URL

https://arxiv.org/abs/2601.20797

PDF

https://arxiv.org/pdf/2601.20797.pdf

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