URAI Autumn School dedicated to time series classification from robotics applications: a tutorial in a trinational context
Year: 2025
Type: conference-paper
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.
Authors: Josso-Laurain, Thomas, Devanne, Maxime, Boerlen, Quentin, Ledy, Jonathan, Lauffenburger, Jean-Philippe, Weber, Jonathan
Institution: Université de Haute-Alsace
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6920131761
FWCI:
Cites:
Cited by:
Related to: