Automation, Production and Computer Sciences (DAPI) - Innovation

Collaborative research projects

A few examples of current collaborative projects (European, national) involving various members of the DAPI.

Home service Operations Planning with EmployeeS preferences and uncertainty

The HOPES project funded by the ANR 2021 with 270 KE is led by a young researcher RESTREPO RUIZ Maria-Isabel on the planning of work schedules and employee rounds over a multi-period horizon for home-based services. HOPES will propose innovative decision support tools to solve these complex problems by taking into account work rules, individual preferences and different sources of uncertainty. To do so, we will rely on the formulation and design of new optimization approaches integrating techniques from data science and deterministic and stochastic optimization. Instead of proposing a method that works only for a specific application, HOPES aims to propose a general framework that can be extended to solve different variants of the problem. The decision support tools developed are expected to improve the quality of service for users, the well-being of employees, and to improve the planning and execution of home service operations.

Scientific Large-scale Infrastructure for Computing/Communication Experimental Studies - Preparatory Phase

SLICES is a unique initiative in the digital sciences. It aims to provide a large-scale scientific instrument to support research activities addressing issues around the design and management of digital infrastructures. SLICES entered the ESFRI roadmap at the end of 2021, successfully moving from the design phase to the preparation phase. More importantly, the vibrant SLICES community is growing, attracting increasing interest and support from key players in research and industry. SLICES-PP ("preparatory phase") addresses all key issues concerning the legal, financial, and technical issues leading to the establishment of the new SLICES research infrastructure and securing the commitment of the Member States/Associated Countries to its long-term operation and use in all fields of science.

Horizon Europe
Digital Innovation Value Accelerator

DIVA is the European Digital Innovation Hub for the Pays de la Loire region, France. It aims at supporting the digital transformation of SMEs. It consists of a one-stop shop that provides services towards the implementation of green and human-centered Artificial Intelligence, data and robotics within companies and public administrations.

Digital Europe Programme
Five pillars to DECARBOnize the last MILE logistics

Gathering 31 partners from 10 different countries, DECARBOMILE aims to trigger an unprecedented improvement of the green last mile logistics in Europe. To reach that goal, DECARBOMILE relies on a strong experience of decarbonating urban logistics through European initiatives such as CIVITAS. Partners will build upon all previous results to develop improved delivery methods, tools and methodologies, and implement them across Europe.

Horizon Europe
Assembly Lines In CIrculAtion

Smart digital tools for the sustainable, human-centric and resilient use of 

Horizon Europe
Training the Next Generation of Experts in Scalable Low-Code Engineering Platforms

The MSCA ITN 2018 project Lowcomote will train a generation of experts that will upgrade the current trend of Low-code development platforms (LCPDs) to a new paradigm, Lowcode Engineering Platforms (LCEPs).

Horizon 2020
AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems

The major objective of the AIDOaRt project is to provide a model-based framework to more efficiently support the continuous software and system engineering of large and complex Cyber-Physical Systems (CPS) via AI-augmentation.

Horizon 2020
Modelling the Induction of Social Stress in Immersive Virtual rEatity Simulations

Social anxiety is a global problem with significant personal and societal costs. Virtual reality makes it possible to consider new treatment alternatives, in particular for exposure therapy: a practitioner can gradually confront patients with the situations that are problematic to them. In this context, it is important to afford fine control over the stress experienced by the patient in these virtual situations. However, the parameters - and their interactions - influencing the amount and nature of the stress experienced in these interactions are still poorly understood.

Projet ANR
Logo du projet ASSISTANT
LeArning and robuSt deciSIon SupporT systems for agile mANufacTuring environments

ASSISTANT's main objective is to develop a collection of intelligent digital twins that will automatically adapt to the manufacturing environment. These digital twins will assist in the design and operation of a complex, collaborative, reconfigurable, mixed/multi-model production system based on data collected by IoT devices.

Horizon 2020