Innovating Works

GOAL-Robots

Financiado
Goal based Open ended Autonomous Learning Robots
This project aims to develop a new paradigm to build open-ended learning robots called `Goal-based Open-ended Autonomous Learning' (GOAL). GOAL rests upon two key insights. First, to exhibit an autonomous open-ended learning proce... This project aims to develop a new paradigm to build open-ended learning robots called `Goal-based Open-ended Autonomous Learning' (GOAL). GOAL rests upon two key insights. First, to exhibit an autonomous open-ended learning process, robots should be able to self-generate goals, and hence tasks to practice. Second, new learning algorithms can leverage self-generated goals to dramatically accelerate skill learning. The new paradigm will allow robots to acquire a large repertoire of flexible skills in conditions unforeseeable at design time with little human intervention, and then to exploit these skills to efficiently solve new user-defined tasks with no/little additional learning. This innovation will be essential in the design of future service robots addressing pressing societal needs. The project will develop the GOAL paradigm by pursuing three main objectives: (1) advance our understanding of how goals are formed and underlie skill learning in children; (2) develop innovative computational architectures and algorithms supporting (2a) the self-generation of useful goals based on user/task independent mechanisms such as intrinsic motivations, and (2b) the use of such goals to efficiently and autonomously build large repertoires of skills; (3) demonstrate the potential of GOAL with a series of increasingly challenging demonstrators in which robots will autonomously develop complex skills and use them to solve difficult challenges in real-life scenarios. The interdisciplinary project consortium is formed by leading international roboticists, computational modelers, and developmental psychologists working with complementary approaches. This will allow the project to greatly advance our understanding of the fundamental principles of open-ended learning and to produce a breakthrough in the field of autonomous robotics by producing for the first time robots that can autonomously accumulate complex skills and knowledge in a truly open-ended way. ver más
30/04/2021
CNR
3M€
Duración del proyecto: 59 meses Fecha Inicio: 2016-05-16
Fecha Fin: 2021-04-30

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2021-04-30
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
FETOPEN-RIA-2014-2015: FET-Open research projects
Cerrada hace 10 años
Presupuesto El presupuesto total del proyecto asciende a 3M€
Líder del proyecto
CONSIGLIO NAZIONALE DELLE RICERCHE No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5