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SESAME: Secure and Safe Multi-Robot Systems

SESAME: Secure and Safe Multi-Robot Systems

Funding Source: EU-H2020
Coordinator: The Open Group, UK
Principal Investigator: Prof. Miguel Olivares-Mendez
Vice Principal investigator: Prof. Holger Voos
Partners: The Open Group, UK; Bonn-Rhein-Sieg University, Germany; The University of York, UK; Foundation for Research and Technology Hellas, Greece; Fraunhofer-Institut für Experimentelles Software Engineering IESE, Germany; University of Hull, UK; Institut f¨ur angewandte Systemtechnik Bremen, Germany; Technology Transfer System, Italy; Anstalt fur Verbrennungskraftmaschinen List, Austria; Locomotec, Germany; Cypriot Civil Defence, Cyprus; KIOS, Cyprus, Aero41, Switzerland; Domaine Kox, Luxembourg; LuxSense, Luxembourg; KUKA, Germany.

  • Prof. Miguel Olivares-Mendez
  • Prof. Holger Voos
  • Dr. Carol Martinez-Luna
  • Dr. Jose Luis Sanchez-Lopez

Duration: from March 1, 2021 to February 28 2024. 3 years


Proposal Abstract

European strategy and research roadmap documents emphasize the significant societal and
economic benefits coming from robotic and autonomous systems. Multi-Robot Systems (MRS) comprise distributed
and interconnected robotic teams that can carry out tasks beyond the competency of a single robot. Although MRS
offer improved scalability and performance, increased robustness, and mission enablement, the lack of a systematic
engineering methodology, covering the complete lifecycle of MRS, results in solutions that fail because of fragile design
and unrealistic assumptions. SESAME addresses these problems through an open, modular, model-based approach
for the systematic engineering of dependable MRS. SESAME is underpinned by public meta-models, components
and configuration tools supporting the dependable MRS operation in uncertain settings characterized by emergent
behaviours and possible cyber-attacks. To demonstrate this timely and ambitious goal, SESAME combines five enduser-
led use-cases (in the domains of healthcare, agile manufacturing, agri-food, and inspection and maintenance) with
R&D competences of partners that have a long track-record in conducting cutting-edge research on robotics, modelbased
safety, security analysis, validation, and verification, towards the actual delivery of research results characterized
by widely-used, sustainable and industrial-strength open-source software. An advisory board of world-class experts
guides the development of SESAME.


SESAME use cases
  • Dependable Multi-Robot Systems in Battery Innovation Centre Use Case (Agile Production): Reduced production cell stoppage time by 20% after thermal events by strengthening the ability of the robotic team to handle a significantly more comprehensive range of hazardous situations. Reduce the risk of employee accidents with high voltage or accidents in case of thermal events by 60% through the systematic threefold quality assurance process of SESAME. Reduce stoppage time after modifications to or reconfigurations by 30% through modelling critical aspects of the updated centre, which is an important step to increase team productivity during design and deployment of the updated centre, especially, since modifications or extensions to the robotic team might involve robots from different suppliers.
  • Disinfecting Hospital Environments using Robotic Teams Use Case (Infrastructure Inspection): Enhance algorithms to enable the robotic team to make better decisions by adopting the experience-based collaborative intelligence capabilities, which will result in more effective disinfection. More effective modelling and deployment will enable robots to address greater structural variation (e.g. navigation in a basement vs. a ward) and requirements. Safety and security of the robotic team will be increased with new runtime monitors able to indicate and document abnormal behaviours. Shorten duration of testing campaigns by up to 30%, which is a major cost of introducing new systems in safety-critical environments, by adopting SESAME’s quality assurance methods.
  • Power Station Inspection using Autonomous Multi-Robot Systems Use Case (Agri-food): Reduce the effort to specify robotic missions by 35% enabling the timely response to emergency situations. Improve the ability of the UAV team to navigate within a highly sensitive facility by 50%. This will be achieved by extending the swarm formation strategies and combining them with the novel capabilities of collaborative sensor-fusion and experience-based collaborative intelligence. Reduce stoppage time during an emergency response mission by 40% through intelligent testing campaigns across a wide range of extreme conditions (e.g., very high temperature) surrounding power stations.

  • Autonomous Pest Management in Viticulture Use Case (Agile Production): Reduce fungicid spraying by 30% contributing to environment preservation. Increased effectiveness of fungicide management through higher productivity of up to 60% compared with traditional tractor-based spraying, and lowered operating costs by Reduce operating costs by 40% by reducing human involvement in the spraying management process. The SESAME technologies will enable agri-producers to move towards safeguarding the long-term productivity of vineyards and farmlands while lowering their overall environmental footprint.

  • Security Management of MRS-Based Assembly Lines Use Case (Agile manufacturing): Increased productivity of designing and analysing MRS-based assembly lines up to 40% by using templates to model important aspects of the assembly.Increased safety of workers by 50% using EDDI to model security concerns and capture their possible safety implications. Reduction of line stoppages by 40% at customer sites due to reconfigurations, by continuously updating a digital twin based on the automatic analysis of data streaming from the assembly lines.