Descripción del proyecto
Un juego de herramientas de aprendizaje profundo para mejorar robots
En los últimos años, el interés por los robots y la demanda de estos ha crecido de manera muy rápida. Esto se debe a que los robots aportan soluciones para el sector de la automatización o para fines comerciales, además de ofrecer nuevas herramientas de colaboración en la investigación científica. A pesar de estos avances tan rápidos, el sector de la robótica se ha enfrentado a muchos obstáculos; uno de ellos consiste en la preparación del robot ante diferentes situaciones o entornos. En el contexto del proyecto OpenDR, financiado con fondos europeos, los investigadores se han propuesto desarrollar y presentar un juego de herramientas —modular, abierto y público— para fomentar el desarrollo y la variedad de funciones básicas en los robots, así como utilizar el aprendizaje profundo para mejorar las funciones cognitivas y de percepción.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-ICT-2019-2
Régimen de financiación
RIA - Research and Innovation actionCoordinador
546 36 THESSALONIKI
Grecia