Quentin Peyron (Centre Inria de l'Université de Lille), membre du projet AS1 du PEPR O2R, propose le 01 octobre à 13h un webinaire sur l'utilisation de matériaux bio-sourcés pour la conception de nouveaux robots à faible impact environnemental. Sa présentation inclura une réflexion générale sur …

***Abstract:*** An increasing part of research relies on data re-use, meaning it analyzes data that was not primarily collected for research purposes. In this context, an important aspect is that of privacy, as that data may reveal sensitive information that its subjects have not consented to make …

***Abstract:*** This study introduces a decision-epoch-based dynamic electric autonomous dial-a-ride problem (Dyn-EADARP), in which incoming requests are collected and processed at periodic decision epochs. A key decision is not only how to serve requests, but also when to dispatch them. At each …

Interview de Patrick Bas de l'équipe SIGMA, du GT DatInG dans l'Express

Intervention de Philippe Preux de l'équipe SCOOL, du GT DatInG sur France 3 "Dimanche en politique - Hauts-de-France"

Evref research results have impact: Rotten green tests added to Google Testing framework Rotten Green Tests are tests that have at least on assertion that is not executed. They give wrong information to the developers. Evref presented this analysis to ICSE 19 and apparently people liked our …

***Résumé :*** With AI becoming increasingly capable, the bottleneck isn't necessarily intelligence, it's in how precisely users can communicate and direct the system. How can intelligent systems reduce the effort of expressing intent while preserving users' ability to shape the outcome? In this …

* Antoine ASPEEL (SHOC/CO2) Chargé de recherche CNRS * Sofiene ABIDI (SMAC/I2C) Maître de conférences * Adrien BERTHELOT (Spirals/GL), Maître de conférences * Tristan COIGNION (Spirals/GL) Maître de conférences * Aurélien DELAGE (SCOOL/DatInG) Maître de conférences * Maxime GOBERT (BONUS/OPTIMA) …

This paper present sliding force formulation for jointly estimating unknown contact location and force on soft bodies from sparse sensor measurements. The method combines a learning-based initializer with an inverse-FEM solver and is validated on a bio-inspired active prostate phantom.

***Abstract:*** This talk is motivated by the parameter estimation problem in control theory. The so-called input-output (I/O) differential equations are a classical tool for estimating the parameters of a parametric differential systems, assuming some experimental data are available. We present a …