Professor Yiannis Papadopoulos Y.I.Papadopoulos@hull.ac.uk
Professor
Professor Yiannis Papadopoulos Y.I.Papadopoulos@hull.ac.uk
Professor
Professor John Murray
Dr David Parker D.J.Parker@hull.ac.uk
Lecturer
Dr Umar Manzoor
Dr Nina Dethlefs
European strategy and research roadmap documents emphasise 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 engineering lifecycle and handling efficiently the salient characteristics of MRS such as openness, uncertainty, variability, and interplay of safety and security, 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 characterised by emergent behaviours and possible cyber-attacks. To demonstrate this timely and ambitious goal, SESAME combines five end- user-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, model- based safety, security analysis, validation, and verification, towards the actual delivery of research results characterised by widely-used, sustainable and industrial-strength open-source software. An advisory board of world-class experts guides the development of SESAME .
Project Acronym | SESAME |
---|---|
Status | Project Live |
Value | £482,634.00 |
Project Dates | Jan 1, 2021 - Dec 31, 2023 |
H2020 - ICT - DEIS Feb 1, 2017 - Jan 31, 2020
Cyber-Physical-Systems harbor the potential for vast economic and societal impact in all major application domains, however in case of failure this may lead to catastrophic results for industry and society. Thus, ensuring the dependability of such sy...
Read More about H2020 - ICT - DEIS.
Deep Text Generation from a Knowledge Graph Oct 1, 2017 - Sep 30, 2019
The objective of this project to develop a text generator that can (a) generate coherent and grammatical text for a specific domain from a knowledge graph of relevant facts, and (b) transfer the learnt linguistic representations to new domains that h...
Read More about Deep Text Generation from a Knowledge Graph.
The EPSRC Centre for Doctoral Training on Offshore Wind Energy and the Environment Apr 1, 2019 - Sep 30, 2027
The move to cleaner economic growth is one of the greatest industrial opportunities of our time; a key industrial challenge for the 21st Century is to secure a resilient renewable energy supply. The offshore wind (OSW) industry underpins UK solutions...
Read More about The EPSRC Centre for Doctoral Training on Offshore Wind Energy and the Environment.
SKYPERION - Autonomous and Intelligent UAV Detection May 1, 2018 - Oct 31, 2018
SKYPERION is an Unmanned Air Vehicle (UAV) detection system. UAV, sometimes called Drones, are readily available and can cause negative effects that range from a nuisance (invasion of privacy) to potential threat to life (proximity or collision with...
Read More about SKYPERION - Autonomous and Intelligent UAV Detection.
ProTEcTME: Proposal based exTEnsible Threat detection fraMEwork Apr 9, 2018 - Nov 30, 2019
The automatic identification and classification of single objects within an image representation of a scene, is in itself a challenging computer vision problem. Previous research has achieved good results in simple structured images. However, objects...
Read More about ProTEcTME: Proposal based exTEnsible Threat detection fraMEwork.
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search