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Department of Computer Science

20190814_fbinf_hochgeschwender_nico_portrait.jpg (DE)

Prof. Dr Nico Hochgeschwender (Ausgeschieden)

Forschungsprofessur für Robotik, Autonome Systeme und deren Sicherheit


Department of Computer Science, Institute for Cyber Security and Privacy (ICSP), Institute for Artificial Intelligence and Autonomous Systems (A2S)

Research fields

  • Software Engineering for Autonomous Systems
  • Software Engineering for Autonomous Systems
  • Domain-specific Modeling and Languages for Robotic and Autonomous Systems
  • Explainabe AI


Sankt Augustin


C 206


Grantham-Allee 20

53757, Sankt Augustin


+ 49 2241 865 9634

Research Projects

SESAME (Safe and Secure Multi-Robot-Systems)

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

Prof. Dr Nico Hochgeschwender (Ausgeschieden)
Safe Airframe Inspection using Multiple UAVs (SAFEMUV)

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

Prof. Dr Nico Hochgeschwender (Ausgeschieden)