Descrizione del progetto
Nuova rete per portare più robot sul campo
L’estrazione mineraria, l’agricoltura, la silvicoltura e l’edilizia sono le principali applicazioni dei robot da campo operosi, che possono operare a terra, sott’acqua, in aria o nello spazio. Nelle fattorie ci sono robot costruiti per svolgere mansioni specifiche quali la raccolta delle fragole e la mungitura delle mucche. Nelle miniere, i robot vengono utilizzati per mappare i passaggi allagati e analizzare le concentrazioni di minerali. Il progetto DEEPFIELD, finanziato dall’UE, si propone di rafforzare l’apprendimento profondo nella robotica sul campo. Esso aiuterà l’INESC TEC (Institute for Systems and Computer Engineering, Technology and Science) portoghese a diventare un centro di eccellenza nella robotica sul campo attraverso collegamenti con istituti di ricerca europei di prim’ordine.
Obiettivo
Robots are active agents that need to interact with the physical world, to do so, robots are equipped with different sensors, whose data is used to build models that ultimately will allow robots to plan actions and make decisions.
Currently, there is strong focus in developing deep learning strategies “data driven” to help solve this perception problem, even though these approaches work well in dataset and benchmark scenarios. There are still strong limitations in the use of this techniques in real world robot activities, specially due to the strong dynamics in robots operational environment, that is pushing the development of new tools and methods to make these approaches feasible in the real world.
INESC TEC is strongly committed to become a centre of excellence with focus on field robotics, in particular, in the aerial and underwater robotics domain. In the last years, the centre for Robotics and Autonomous systems, of INESC TEC has advance its scientific knowledge in sensing and perception methods for robots navigation and localization in harsh operational environments. The key objective of INESC TEC is to become one of the European references in field robotics, and help to bring robot technology to solve real life problems where human intervention is still limited or non-existent.
This proposal aims at creating solid knowledge and productive links in the global field of deep learning in field robotics between INESC TEC and established leading research European institutions, capable of enhancing the scientific and technological capacity of INESC TEC and linked institutions (as well as the capacity of partnering institutions involved in the twinning action), helping raising its staff’s research profile and its recognition as an European research centre of excellence in field robotics. In particular, it takes INESC TEC and places it as the pivot of a network of excellence, involving four international leaders in deep learning technology and fied robotics.
Campo scientifico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
Parole chiave
Programma(i)
- H2020-EU.4.b. - Twinning of research institutions Main Programme
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-WIDESPREAD-2018-03
Meccanismo di finanziamento
CSA - Coordination and support actionCoordinatore
4200 465 Porto
Portogallo