April 6, 2022, 1:10 a.m. | Rafik Ayari, Matteo Pantano, David Paulius

cs.CV updates on arXiv.org arxiv.org

In this preliminary work, we propose to design an activity recognition system
that is suitable for Industrie 4.0 (I4.0) applications, especially focusing on
Learning from Demonstration (LfD) in collaborative robot tasks. More precisely,
we focus on the issue of data exchange between an activity recognition system
and a collaborative robotic system. We propose an activity recognition system
with linked data using functional object-oriented network (FOON) to facilitate
industrial use cases. Initially, we drafted a FOON for our use case.
Afterwards, …

arxiv industrial network object-oriented

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Machine Learning Engineer

@ Samsara | Canada - Remote