Projets internationaux
Page in progress. List of projects to be finalised soon.
MIAI@Grenoble Alpes is involved in several & various international projects
International projects within the framework of MIAI Chairs:
Human-Machine collaboration: collaborative robotics and augmented reality
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Within the MIAI chair AI for data-driven and self-configurable supply chains
> More information about this collaboration
Smart Manufacturing for quality (processes and products) and maintenance
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Within the MIAI chair AI for data-driven and self-configurable supply chains
AI-based optimization and simulation techniques for operations and supply chain management
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Within the MIAI chair AI for data-driven and self-configurable supply chains
(priviledged theme with Dr Sören Kerner's and Marco Motta's groups at Fraunhofer Institute for Material Flow and Logistics (IML), with scientific annex)
> More information about this collaboration
AI International TAILOR network
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Within the MIAI chair Explainable and Responsible AI
UGA participates to the TAILOR network of AI research excellence centers through the MIAI chairs “Explainable and Responsible AI” and “Knowledge communication and evolution” . UGA contribute in a significant manner to the WP3 (Trustworthy AI) and WP6 (Social AI) by bringing competences on knowledge representation and reasoning, deep learning, game theory and statistical learning, and their interactions in the context of security, privacy and ethics of online systems and algorithms.
> More information about the TAILOR network
AI4DI-UE
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Within the MIAI chair Digital Hardware AI Architectures
> More information about AI4DI-UE project
H2020 INODE
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Within the MIAI chair Contextual Recommendations in Action - Bridging AI and Real-Life Economics
> More information about H2020 INODE
AQUAPRO
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Within the MIAI chair Contextual Recommendations in Action - Bridging AI and Real-Life Economics
Subjective data links people to content items and reflects who likes or dislikes what. The valuable information this data contains is virtually infinite and satisfies various information needs. Yet, as of today, dedicated tools to explore this data are lacking. In this project, we develop a framework for Subjective Data Exploration (SDE). SDE enables the joint exploration of items, people, and people's opinions on items, in a guided multi-step process.
SDE
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Within the MIAI chair Contextual Recommendations in Action - Bridging AI and Real-Life Economics
The question of answering queries over ML predictions has been gaining attention in the database community. This question is challenging because the cost of finding high quality predictions corresponds to invoking an oracle such as a human expert or an expensive deep neural network model on every single item in the DB and then applying the query. We develop AQUAPRO, a unified and novel framework that enables Approximate QUery Answering with PRoxy and Oracle to minimize the cost of finding high quality answers for both precision-target and recall-target queries.
DESCARTES: Program on Intelligent Modelling for Decision-making in Critical Urban Systems
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Within the MIAI chair Artificial intelligence for Smart Grids
The DesCartes project is highly competitive project awarded and supported by the Singapore National Research Foundation, Prime Minister’s Office, and its Campus for Research Excellence and Technological Enterprise (CREATE) program. It is and international collaborative project conducted under CNRS@CREATE program and involves 12 French universities, 6 Singaporean Universities and 6 industrial partners. The main universities in Singapore (NUS, NTU, SUSS, SUTD, SMU) and A*STAR.
> More information about DesCartes project
AI4DG project: Artificial Intelligence for Distributed Generation
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Within the MIAI chair Artificial intelligence for Smart Grids
The AI4DG German-French joint research project focuses on AI on the edge for a secure and autonomous distribution grid control with a high share of renewable energies. It is a highly international competitive project awarded under the ANR/BMBF collaboration.
> More information about AI4DG project
AI4HP Artificial Intelligence for Heat Pumps (Project AI4HP)
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Within the MIAI chair Towards Robust and Understandable Neuromorphic Systems
On the basis of a collaboration between the French Ministry of Higher Education, Research and Innovation (MESRI), the German Federal Ministry of Education and Research (BMBF), Fraunhofer ISE, CEA, LPNC, Stiebel-Eltron GmbH & Co. KG, EDF R&D – Dept. Technology and Research for Energy Efficiency.
> More information about AI4HP
> More information about AI4HP
SUPER - Solution for Uncertainty and personalization in Emotion Recognition : MIT project MISTI Global Seed Fund
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Within the MIAI chair Towards Robust and Understandable Neuromorphic Systems
DESCARTES - Optimization-Driven Hybrid AI Hybrid Modelling with Effective Domain Adaptation for Robust Prediction (WP3)
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Within the MIAI chair Towards Robust and Understandable Neuromorphic Systems
A CREATE Program on AI-based Decision making in Critical Urban Systems.
> More information about DESCARTES
> More information about DESCARTES
An ANR international collaboration project (2020)
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Within the MIAI chair Towards Robust and Understandable Neuromorphic Systems
> More information about this project
SPRING: Socially Pertinent Robots for Gerontological Healthcare
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Within the MIAI chair Audio-visual machine perception and interaction for companion robots
Coordinator: Xavier Alameda-Pineda (Inria)
In the past five years, social robots have been introduced into public spaces, such as museums, airports, commercial malls, banks, company show rooms, hospitals, and retirement homes, to mention a few examples. In addition to classical robotic skills such as navigation, grasping and manipulating objects, i.e. physical interactions, social robots must be able to communicate with people in the most natural way, i.e. cognitive interactions. Nevertheless, today’s Human-Robot Interaction (HRI) technology is not well-suited to fulfil these needs. Indeed, socially assistive robots (SAR) that are currently available suffer from two main bottlenecks: (i) they are limited to a handful of simple scenarios which leads to (ii) SARs not being well accepted by a large percentage of users such as elderly adults. These limitations are largely due to the fact that both their hardware and supporting software have been designed for reactive single-user interaction mostly based on keyword spotting where the robot waits to be instructed what to do based on a limited set of scripted actions. In a nutshell, SPRING’s research question is how to develop robots able to move, see, hear and communicate with several actors, in complex and unstructured populated spaces, so that they can to properly fulfil social roles and successfully execute social tasks. Overcoming these limitations raises difficult scientific and technological challenges with tremendous social impact and economic value.
In the past five years, social robots have been introduced into public spaces, such as museums, airports, commercial malls, banks, company show rooms, hospitals, and retirement homes, to mention a few examples. In addition to classical robotic skills such as navigation, grasping and manipulating objects, i.e. physical interactions, social robots must be able to communicate with people in the most natural way, i.e. cognitive interactions. Nevertheless, today’s Human-Robot Interaction (HRI) technology is not well-suited to fulfil these needs. Indeed, socially assistive robots (SAR) that are currently available suffer from two main bottlenecks: (i) they are limited to a handful of simple scenarios which leads to (ii) SARs not being well accepted by a large percentage of users such as elderly adults. These limitations are largely due to the fact that both their hardware and supporting software have been designed for reactive single-user interaction mostly based on keyword spotting where the robot waits to be instructed what to do based on a limited set of scripted actions. In a nutshell, SPRING’s research question is how to develop robots able to move, see, hear and communicate with several actors, in complex and unstructured populated spaces, so that they can to properly fulfil social roles and successfully execute social tasks. Overcoming these limitations raises difficult scientific and technological challenges with tremendous social impact and economic value.