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Safe Worker-collaborative Navigation for Robotic Intralogistics in Infrastructure-free Warehouses – NavWare
The Industry 4.0 process is profoundly affecting the industrial structure of warehousing and intralogistics. Although existing warehouse robotization solutions explicitly assume the coexistence of autonomous mobile robots (AMRs) and human workers, they require humans to move carefully and that the c
Data-Knowledge Integration to improve the reliability of LCA projets in the Enterprise of the futur – i-DAVE
Despite the growing interest in life cycle assessment (LCA) and product carbon footprint (PCF) methods and tools, their application faces three challenges: data collection, the selection of relevant cost centers, and the robustness of reference databases. These challenges are very difficult because
MLDR: A Machine Learning-Driven Radio Interface – MLDR
1.Project summary In the following years, we will see the advent of many new applications and use-cases such as the metaverse, the adoption of XR/VR, holographic telepresence, the Internet of the Senses, the consolidation of the Internet of Things, with autonomous robots, fully automated industries
Explainable machine-learning approaches of echocardiography data for the prediction of cardiac resynchronization therapy – EXPERT
Cardiac resynchronization therapy (CRT) is an implant-based therapy applied to patients with a specific heart failure (HF) profile. The identification of CRT candidates is a challenging task. The application of current guidelines still induce a non-responder rate of about 30% and death remains high
CRYstalluria sensing for kidney stones SElf-MOnitoring – CRYSEMO
The recurrence of the kidney stones (or urinary lithiasis) increases in all industrialized country implying an increasing cost for healthcare systems. To prevent this crisis of renal colic, the analysis of the quantity of crystals in the urine, called crystalluria, has proven its relevance. However,
Voices from Online Labour: Inequalities in digital earning activities across countries – VOLI
Digital labour platforms use data and algorithms to match clients with workers, construed as independent contractors, for one-off ‘gigs’ without any long-term commitment. Building on scattered, but growing evidence that gender, race and other gaps persist in these settings, the proposed project addr
Common Framework for Textual Anomaly Detection – CFTextAD
CFTextAD is a fundamental research project, contributing to axis E.2, "Artificial intelligence and data science". It proposes to build a common framework for textual anomaly detection, in order to understand how to best associate existing NLP representational models and existing anomaly detection me
Reducing Noise with Augmented Reality – ReNAR
Noise pollution has a significant impact on quality of life. In the office, noise exposure creates stress that leads to reduced performance, provokes annoyance responses and changes in social behaviour. Headphones with excellent noise-cancelling processors can now be acquired in order to protect one
COnverged coMMunication, control and scheduling Infrastructure for multi pods-based Transport Systems – COMMITS
Urban mobility is constantly introducing multiple environmental, societal and economic challenges. Indeed, due to the lack of effective transport alternatives, 54% of the French population still use their cars every day. To tackle such issues, URBANLOOP SAS is currently developing an on-demand and
Reliable Positioning System for Soft Mobility Safety Enhancement with a Green AI Approach – ReSilientGAIA
Mobility and transport play crucial roles in achieving sustainable development goals. The mobility transition strategy in Europe has shifted the way that people move in their daily life towards low-carbon emission solutions. An increasing number of urban soft mobility has emerged, from e-scooters, e
