Communication Dans Un Congrès Année : 2026

Knowledge Graph-Enhanced Multi-Agent Infrastructure for coupling physical and digital robotic environments

Résumé

This paper presents a multi-agent infrastructure that couples physical and digital robotic environments, enhanced by a knowledge graph. The infrastructure aims to simplify the design, modification, and evaluation of robotic systems. We propose to use a knowledge graph to represent environmental data, robot states, and interactions. This enables supervision of both physical and simulated robots on existing and heterogeneous platforms. Deployed in the Hypermedea multi-agent programming environment, agents use the knowledge graph to facilitate seamless interaction and coordination across different platforms. The feasibility of the infrastructure is demonstrated through a coordination scenario between a simulated robotic arm and a physical mobile robot in Industry 4.0.

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Dates et versions

hal-05128038 , version 1 (24-06-2025)

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Citer

Nesrine Hafiene, Flavien Balbo, Fabien Badeig, Martine Jayol. Knowledge Graph-Enhanced Multi-Agent Infrastructure for coupling physical and digital robotic environments. 23rd International Conference on Practical applications of Agents and Multi-Agent Systems (PAAMS 2025), Jun 2025, Lille, France. pp.131-142, ⟨10.1007/978-3-032-07638-0_11⟩. ⟨hal-05128038⟩
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