Descripción del proyecto
Sistema de manipulación guiado por inteligencia artificial para robots inteligentes
Crear máquinas capaces de interactuar de forma directa con el entorno constituye uno de los principales retos de la robótica. En los últimos decenios, se ha producido un aumento de las investigaciones sobre la manipulación de robots con el objetivo de producir máquinas capaces de interactuar de forma directa y autónoma con el entorno. El aprendizaje será fundamental para estos sistemas autónomos. El proyecto IntelliMan, financiado con fondos europeos, se centrará en cómo un robot puede aprender a manipular de forma eficaz y con un alto rendimiento. El equipo del proyecto desarrollará un innovador sistema de manipulación guiado por inteligencia artificial con capacidades de aprendizaje continuo, capaz de percibir características del entorno a través de un conjunto heterogéneo de sensores, decidir cómo ejecutar una tarea de forma autónoma, detectar fallos en la ejecución de la tarea y solicitar nuevos conocimientos.
Objetivo
A key challenge in intelligent robotics is creating robots that are capable of directly interacting with the world around them to achieve their goals. On the other hand, robot manipulation is central to achieve the promise of robotics, since the definition of robot requires that it has actuators that it can use to change the world.
In the last decades, a substantial growth has been observed in research on the problem of robot manipulation, which aims to exploit the increasing availability of affordable robot arms and grippers to create machines capable of directly and autonomously interacting with the world to implement useful applications. Learning will be central to such autonomous systems, as the real world contains too many variations for a robot to have an accurate model of human requests and behaviour, of the surrounding environment, the objects in it, or the skills required to manipulate them, in advance.
The main objective of the IntelliMan project is focusing on the question of “How a robot can efficiently learn to manipulate in a purposeful and highly performant way”. IntelliMan will range from learning individual manipulation skills from human demonstration, to learning abstract descriptions of a manipulation task suitable for high-level planning, to discovering an object’s functionality by interacting with it, to guarantee performance and safety. IntelliMan aims at developing a novel AI-Powered Manipulation System with persistent learning capabilities, able to perceive the main characteristics and features of its surrounding by means of a heterogeneous set of sensors, able to decide how to execute a task in an autonomous way and able to detect failures in the task execution in order to request new knowledge through the interaction with humans and the environment. IntelliMan further investigates how such AI-powered manipulation systems are perceived by the users and what factors enhance human acceptability.
Ámbito científico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- medical and health sciencesmedical biotechnologyimplants
Palabras clave
Programa(s)
Convocatoria de propuestas
HORIZON-CL4-2021-DIGITAL-EMERGING-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
40126 Bologna
Italia