The main objective of the SERBERE project is to delegate the surveillance of areas to heterogeneous swarms of autonomous patrol robots, tireless nocturnal sentinels.

We propose to work on the following operational, scientific and technical axes:

• The analysis of the environment by the robot and the interaction with the latter (complexity of the terrain and data fusion).

• The decision-making autonomy of robots and the necessary security guarantees that result from it,

• Explainability and interpretability by humans of decisions made by robots,

• Cooperation between heterogeneous robots,

• Evaluation of the extensibility and flexibility of the system by adding new effectors or new missions.

 

This project aims to explore the use of a decision-making artificial intelligence technology, Direct AI, hitherto mainly used for the empowerment of agents in simulations, within the framework of existing patrol robots.

We propose a dual approach aimed at carrying out a reflection in two environments:

• A simulated environment making it easy and quick to assess the relevance of the decision-making models implemented as well as the mechanics of information exchange and collaboration between robots.

• A real environment allowing an initial simulation of the concepts and solutions retained within the framework of a prototype implementing robots within an evolving environment

• A real environment allowing an initial simulation of the concepts and solutions retained within the framework of a prototype implementing robots within an evolving environment