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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Alejandro Alonso

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2 papers indexed here

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Open access Sep 2026

A platform for the navigation of Unmanned Aerial Vehiclesbased on Reinforcement Learning

This article introduces a platform for developing use cases for the automated control of unmanned aerial vehicles (UAVs), utilising the AirSim simulator. This platform allows for the generation of realistic flight scenarios involving multiple UAVs.The proposed platform facilitates the construction of use cases for the...

Daniel Álvarez Novoa, Ángel-Grover Pérez-Muñoz, Alejandro Alonso et al. · 0 citations
#reinforcement learning Open access Dec 2026

Application of the W-shaped process for a Reinforcement Learning use case on drone navigation

The interest in Machine Learning (ML) has spread to safety systems due to its ability to solve tasks that cannot be explicitly programmed, including pattern recognition, object detection, and autonomous control. To ensure the safe integration of ML in avionics, the European Union Aviation Safety Agency (EASA) proposed...

Ángel-Grover Pérez-Muñoz, Hernán García-Quijano, G. López-García et al. · 0 citations

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