URAI Autumn School dedicated to time series classification from robotics applications: a tutorial in a trinational context

Thomas Josso-Laurain; Maxime Devanne; Quentin Boerlen; Jonathan Ledy; Jean-Philippe Lauffenburger; Jonathan Weber

doi:10.60643/urai.v2023p203

URAI Autumn School dedicated to time series classification from robotics applications: a tutorial in a trinational context

Authors

Thomas Josso-Laurain IRIMAS, Université de Haute-Alsace
Maxime Devanne IRIMAS, Université de Haute-Alsace
Quentin Boerlen IRIMAS, Université de Haute-Alsace
Jonathan Ledy IRIMAS, Université de Haute-Alsace
Jean-Philippe Lauffenburger IRIMAS, Université de Haute-Alsace
Jonathan Weber IRIMAS, Université de Haute-Alsace

DOI:

https://doi.org/10.60643/urai.v2023p203

Keywords:

Artificial intelligence, Time series, Robotics, tutorial

Abstract

URAI Symposium is a trinational research symposium organized by university partners inside the Upper Rhine region. This symposium aims to bring together researchers that are working on and/or with artificial intelligence. For the 5th edition in 2023, this symposium is taking place in Mulhouse, France. It is preceded by a one-day Autumn School. The participants are following a tutorial about how artificial intelligence can be used for time series from a robotic platform. The design of the tutorial is presented as well as the collected feedback. The results show that the tutorial is well tuned for AI beginners with an increase on the technical skills. All the participants were globally happy with the organization of the day.