SESAME (Safe and Secure Multi-Robot-Systems)

Research project at a glance

The overarching goal of SESAME is to develop an open, modular, configurable, model-based approach for systematic engineering of dependable MRS. The approach is supported by a set of public meta-models, components and configuration tools produced by the project. Target MRS may employ AI, and will be capable of operating dependably in open configurations, and in conditions of uncertainty that include the acknowledged possibility of cyber-attacks. Five novel applications that add value to the European science and economy will be developed and verified for dependability using the SESAME approach.

Keywords

Safety@Security Verteilte Systeme Robotik Machine Learning Künstliche Intelligenz Artificial Intelligence

Departments and Instituts

Department of Computer Science Institute for Cyber Security and Privacy (ICSP)

Funding type

Publicly funded research

Period

01.01.2021 to 31.12.2023

Project Leader

Project Description

The overarching goal of SESAME is to develop an open, modular, configurable, model-based approach for systematic engineering of dependable MRS. The approach is supported by a set of public meta-models, components and configuration tools produced by the project. Target MRS may employ AI, and will be capable of operating dependably in open configurations, and in conditions of uncertainty that include the acknowledged possibility of cyber-attacks. Five novel applications that add value to the European science
and economy will be developed and verified for dependability using the SESAME approach.

Research associates

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Sven Schneider

20170208_fbinf_argentina_ortega_kw_02.jpg (DE)

Argentina Ortega

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Deebul Sivarajan Nair

Minh Nguyen

Portraet Samuel Parra 2021

Samuel Andres Parra Gonzalez