Descrizione del progetto
Strategie assistite dall’IA per migliorare l’innovazione delle PMI nel campo della robotica
I robot operano nel mondo reale. Quando si applicano i metodi di intelligenza artificiale (IA) sui robot, la natura continua e dinamica del mondo fisico pone numerose sfide, che non riguardano ambiti puramente digitali quali la ricerca su Internet e i social network. Per affrontare queste sfide, il progetto VeriDream, finanziato dall’UE, si basa sul lavoro svolto dai progetti di ricerca DREAM e RobDream allo scopo di elaborare una strategia di innovazione duplice per l’IA nella robotica. La sua strategia di innovazione profonda punterà all’ottenimento di un elevato livello di maturità tecnologica in una serie di casi d’uso presso una start-up attiva nel campo della logistica di stoccaggio. La sua ampia strategia di innovazione promuoverà una maggiore adozione di metodi di innovazione efficaci da parte delle PMI, incrementando così il potenziale di innovazione delle stesse nell’IA per la robotica.
Obiettivo
"Advances in artificial intelligence (AI) are changing the business models of many companies, and creating entirely new ones. But whereas the general public associates AI predominantly with autonomous and humanoid robots, the economic impact of AI on robotics has been very limited in comparison to domains which were digitised from the start, such as Internet search and social networks. This is because acting in the physical world raises many challenges related to the variability of the real world, its continuous and dynamic nature, as well as the consequences of suboptimal or erroneous behaviour.
To address these challenges, VeriDream proposes a two-fold research and innovation strategy for AI in robotics, based on the generalisation and robustification of AI methods developed by the three research partners in two previous H2020 projects, DREAM and RobDREAM. The deep innovation strategy aims at high TRL on a set of use cases from the specific domain of warehouse logistics at the start-up Magazino. The broad innovation strategy, pursued by Synesis and GoodAI, aims at fostering a broader uptake of DREAM methods in SMEs, also beyond the project, and even beyond robotics. VeriDream thus aim at both concrete high-TRL innovation success stories, as well as providing experience and templates for innovation from which other European SMEs may profit.
In both strategies, our methodology is based on ""closing the innovation loop"". This means that research on AI methods is driven less by performance on static benchmarks, but rather by general methodological requirements derived from the performance on multiple industrial use cases. This will require scientific advances in state representation learning, failure discovery and resolution, and continual learning. The generalisation and robustification of DREAM methods that results from this research will have a substantial impact on the innovation potential of these methods. Demonstrating this is VeriDream's mission."
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesinternet
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robots
- social scienceseconomics and businessbusiness and managementbusiness models
Parole chiave
Programma(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-EIC-FETPROACT-2019
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
51147 Koln
Germania