Séminaire

Date : 4 avril 2024 13:30 - Salle :Amphi 2 - Pôle commun Some algorithmic problems related to the Autonomous Mobile Robot Orchestrator Lou SALAUN, researcher - NOKIA

The Autonomous Mobile Robot Orchestrator (AMRO) is an industrial fleet management system developed by Nokia Bell Labs. It is designed to sense, orchestrate and control a fleet of multi-vendor mobile cognitive robots in a factory environment. AMRO aggregates sensing data from multiple sources such as infrastructure cameras, radio-based localization systems and onboard robot sensors. It uploads them to a cloud-based digital twin to predict future states of the factory. This information is then used to plan efficient collision-free trajectories that are sent to the heterogeneous fleet of robots. In this presentation, we will talk about some challenges related to trajectory prediction and multi-agent path planning in AMRO.

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