GRAPES aims at considerably advancing the state of the art in Mathematics, Computer-Aided Design, and Machine Learning in order to promote game changing approaches for generating, optimising, and learning 3D shapes, along with a multisectoral training for young researchers. Recent advances in the above domains have solved numerous tasks concerning multimedia and 2D data. However, automation of 3D geometry processing and analysis lags severely behind, despite their importance in science, technology and everyday life, and the well-understood underlying mathematical principles. The CAD industry, although well established for more than 20 years, urgently requires advanced methods and tools for addressing new challenges.
The scientific goal of GRAPES is to bridge this gap based on a multidisciplinary consortium composed of leaders in their respective fields. Top-notch research is also instrumental in forming the new generation of European scientists and engineers. Their disciplines span the spectrum from Computational Mathematics, Numerical Analysis, and Algorithm Design, up to Geometric Modelling, Shape Optimisation, and Deep Learning. This allows the 15 PhD candidates to follow either a theoretical or an applied track and to gain knowledge from both research and innovation through a nexus of intersectoral secondments and Network-wide workshops.
Horizontally, our results lead to open-source, prototype implementations, software integrated into commercial libraries as well as open benchmark datasets. These are indispensable for dissemination and training but also to promote innovation and technology transfer. Innovation relies on the active participation of SMEs, either as a beneficiary hosting an ESR or as associate partners hosting secondments. Concrete applications include simulation and fabrication, hydrodynamics and marine design, manufacturing and 3D printing, retrieval and mining, reconstruction and visualisation, urban planning and autonomous driving.
For more details about the GRAPES vision please read our white paper.
GRAPES is the natural continuation of the H2020-MSCA-ITN-2015 Project ARCADES.
Project facts
- GRAPES has been submitted under the H2020-MSCA-ITN-2019 call and is part of the Marie Sklodowska-Curie Actions — Innovative Training Networks (ITN) funding scheme.
- Grant agreement No: 860843
- Action full title: learninG, pRocessing, And oPtimising shapES
- Granting authority: Research Executive Agency
- Duration: 54 Months (1/12/2019 — 31/05/2024) (after an extension of the Project’s duration was granted)
Management Structure
- Project Coordinator: Ioannis Emiris (emiris AT athena-innovation.gr)
- Research Coordinator: Laurent Busé (Laurent.Buse AT inria.fr)
- Technical Coordinator: Christos Konaxis (ckonaxis AT athenarc.gr)
The management of GRAPES is structured around the following board and committees (showing current composition).
- Supervisory Board. Voting members: The Scientist-in-Charge, or an appointed representative, of each member. Non-voting: The Technical coordinator (Christos Konaxis), one representative per partner organisation, an ESR representative (Krunal Raval, ESR13), and two external stakeholders (possibly from the Advisory committee) appointed by the voting members.
- Executive committee: Coordinator, Research Coordinator (Laurent Busé, INRIA), Technical Coordinator, Educational committee chair.
- Educational committee: Carlos D’Andrea (Chair, WP 5 leader, UB), Laurent Busé (Research Coordinator, INRIA), Maria Salamo (UB), Georg Muntingh (WP 3 leader, SINTEF), Kai Hormann (WP 4 leader, USI).
- Advisory committee:
Annalisa Buffa (EPFL), Thierry Chevalier (Airbus), Leonidas Guibas (Stanford), Andre Lieutier (Dasault Systemes), Sandra Di Rocco (KTH). - ESR representative: Krunal Raval (U. Rome Tor Vergata, ESR13).
- Deputy ESR representative: Arturs Berzins (SINTEF, ESR9).
Contact
Please contact: grapes AT athena-innovation.gr