H2020Индивидуална стипендия2016–2018

SURE · Safe Unmanned Robotic Ensembles

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2016-09-15 → 2018-09-14
Финансиране от ЕС: 177 599 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Роботизираните системи, като групи от самоуправляващи се автомобили, се анализират чрез нови методи за разпределена диагностика. Това помага да се ограничи рискът от катастрофи, причинени от технически повреди или кибератаки върху отделни машини в групата.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Safe Unmanned Robotic Ensembles

Self-driving personal cars that coordinate themselves to eliminate road accidents while doubling the capacity of highways; swarms of autonomous flying machines that quickly map and explore critical areas during emergency response; fleets of service robots that inspect, clean or repair large infrastructures or vessels in a fraction of the time needed to do this manually. These are just a few examples of so called robotic ensembles, and that have the potential of revolutionizing our life in a short time span. But a key factor that can prevent them to deliver their expected benefit, is un-safety. What if such complex collective systems may be made unusable, or even dangerous, by failures or misbehaviours of a few, or even a single of their members? Threats may come from simple and inevitable physical damage occurring to individual units, or may be the result of the deliberate action of compromised ones, due to malicious cyber-attacks directed at disrupting the service provided by the ensemble. Eradicating such scenarios was precisely the motivation of SURE, a project that lead to the conception and analysis of innovative distributed diagnosis approaches for robotic ensembles. Cooperative self-driving cars were the project motivating example, which is a sector projected to be worth 71 billions of Euros in 2030.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Safe Unmanned Robotic Ensembles (SURE)Self-driving personal cars that coordinate themselves to eliminate road accidents while doubling the capacity of highways; swarms of autonomous flying machines that quickly map and explore critical areas during emergency response; fleets of service robots that inspect, clean or repair large infrastructures or vessels in a fraction of the time needed to do this manually. These are just a few examples of so called robotic ensembles, and that have the potential of revolutionizing our life in a short time span. But a key factor that can prevent them to deliver their expected benefit, is un-safety. What if such complex collective systems may be made unusable, or even dangerous, by failures or misbehaviours of a few, or even a single of their members? Threats may come from simple and inevitable physical damage occurring to individual units, or may even be the result of the deliberate action of compromised ones, due to malicious cyber-attacks directed at disrupting the service provided by the ensemble. Eradicating such scenarios is precisely the objective of the present proposal, that by directing the fellow research effort to the conception and analysis of an innovative multi-scale, adaptive and distributed diagnosis approach, will actively contribute to the creation of Safe Unmanned Robotic Ensembles (SURE). Delft University of Technology (TUD), combining top-level expertise in modelling and control of vehicular traffic flows, in distributed robotic applications, and in the conduction of robotic test-beds at its world-class experimental facilities, is a unique institution. The one where the researcher will be able to prove the effectiveness of the proposed safety techniques by operating a laboratory scale robotic test-bed. This will pave the way, within the Dutch Automated Vehicle Initiative, for trials on actual cooperative self-driving cars, a motivating example that is projected to be worth 71 billions of Euros in 2030.

Оригинален текст от CORDIS (на английски).

Участници

TECHNISCHE UNIVERSITEIT DELFT · DelftКоординаторНидерландия