Research group on Embedded Architecture for Multisensing

This list provides a summary of ongoing and completed collaborative research projects

  • 2017-2021: H2020-ITN ACHIEVE –  “Advanced Hardware/Software Components for Integrated/Embedded Vision Systems” is an Innovative Training Network of the Marie Skłodowska-Curie Actions (H2020-MSCA-ITN-2017) which trains a new generation of nine young researchers through international, interdisciplinary mobility. The topic of ACHIEVE’s research program is hardware/software co-design for ultra-efficient embedded vision systems that will form the basis for innovative distributed vision applications. The consortium is composed of 6 academic and 1 industrial beneficiaries and 4 industrial partners. The project is coordinated by Ricardo Carmona Galán, PhD (Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC) / Instituto de Microelectrónica de Sevilla, Spain) and runs from October 2017 until September 2021.More information:


  • 2015-2019: ANR HPEC – “High Performance Embedded Computing” . This project aims to demonstrate the relevancy of self-adaptive hardware architectures to respond to the growing demands of high performance computing, in an increasing class of embedded systems that also have demanding footprint and energy efficiency constraints. This is typically the kind of embedded system we have in small autonomous systems like UAVs, that require high computing capabilities to perceive the environment (e.g embedded vision) and make decisions about task to execute according to uncertainties related to the environment, safety critical systems, the health of the system and processing results (e.g. identified object). More information: