Descrizione del progetto
Utilizzare un kit di strumenti di apprendimento profondo per migliorare le principali funzionalità robotiche
Negli ultimi anni si è verificata una rapida crescita sia nella domanda che nell’interesse verso la robotica. Ciò perché i robot forniscono possibili soluzioni per l’industria dell’automazione, nonché nuovi strumenti per assistere la ricerca scientifica; essi possono inoltre essere utilizzati a scopi commerciali. Tuttavia, nonostante questi progressi rapidi, l’industria robotica affronta molte sfide, tra cui come preparare al meglio i robot per situazioni e ambienti diversi. Il progetto OpenDR, finanziato dall’UE, è inteso a sviluppare e introdurre un kit di strumenti modulare, aperto e non proprietario che assisterà nello sviluppo e nell’assortimento delle principali funzionalità robotiche, utilizzando nel contempo l’apprendimento automatico per migliorare le loro capacità percettive e cognitive.
Obiettivo
The aim of OpenDR is to develop a modular, open and non-proprietary tool kit for core robotic functionalities by harnessing deep learning to provide advanced perception and cognition capabilities, meeting in this way the general requirements of robotics applications in the applications areas of Healthcare, Agri-Food and Agile Production. The term toolkit in OpenDR refers to a set of deep learning software functions, packages and utilities used to help roboticists to develop and test a robotic application that incorporates deep learning. OpenDR will provide the means to link the robotics applications to software libraries (deep learning frameworks, e.g. tensorflow) and to link it with the operating environment (ROS). OpenDR focuses on the AI and Cognition core technology in order to provide tools that make robotic systems cognitive, giving them the ability to a) interact with people and environments by developing deep learning methods for human centric and environment active perception and cognition, b) learn and categorise by developing deep learning tools for training and inference in common robotics settings, and c) make decisions and derive knowledge by developing deep learning tools for cognitive robot action and decision making. As a result, the developed OpenDR toolkit will also enable cooperative human-robot interaction as well as the development of cognitive mechatronics where sensing and actuation are closely coupled with cognitive systems thus contributing to another two core technologies beyond AI and Cognition. OpenDR will develop, train, deploy and evaluate deep learning models that improve the technical capabilities of the core technologies beyond the current state of the art. It will enable a greater range of robotics applications that can be demonstrated at TRL 3 and above, thus lowering the technical barriers within the prioritised application areas.
Campo scientifico
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticscognitive robots
- engineering and technologymechanical engineeringmechatronics
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
546 36 THESSALONIKI
Grecia