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.

Project management at the H-BRS

Assuring the safety of teams of autonomous unmanned aerial vehicles (UAVs) that carry out a safety-critical inspection task collaboratively is very challenging due to uncertainties and risks associated with the operating environment, individual UAV failures, inconsistent global perspective between team, interference and/or contention because of limited physical space, and unreliable communication. In SAFEMUV, we will extend, adapt, and integrate our recent research and the latest advances from operational risk assessment for UAVs, managing variability in robotic systems through feature modelling, and automated synthesis of models and testing campaigns for assessing system robustness. In a nutshell, SAFEMUV will deliver a process for systematic robustness assessment of UAV teams underpinned by methods for the specification, generation and testing of collaborative inspection scenarios, enabling the progressive transition from simulation to lab-based operations and to real-world operations; and a demonstrator that realises this process using an a simulated environment, an indoor flight arena and an outdoor space at Luxembourg Airport.

Project management at the H-BRS

Objectives Develop and implement a disruptive concept for automatically guided vehicles (AGVs) that lowers the still existing barrier in logistics by offering • cost-effective, automated or semi-automated indoor transportation of goods, • while coping with existing legacy in terms of size, shape, and weight of goods and containers, • without imposing disruptive changes in existing logistic solutions, such as rebuilding entire warehouses or switching to new containers or storage technology.