In the context of Industry 4.0, flexible manufacturing plays a significant role in developing the factory of the future. CHAIKMAT project aims to propose a novel AI-based approach that will enhance flexibility in manufacturing, increase the transparency of decision-making systems, and improve trust between humans and machines. Accordingly, we propose a human-centric Artificial Intelligence (AI) approach that investigates whether the factory’s machines are capable of performing a new production process and then provides human experts meaningful explanations of how the decision process is conducted. To do so, CHAIKMAT will orchestrate exploiting ontologies, using semantic web reasoning capabilities, and machine learning models through a manufacturing commonsense Knowledge graph. The validation will be ensured through a real test plant that includes small robot stations and transportation systems that will be designed and developed within the project.
Monsieur Hedi Karray (LABORATOIRE GENIE DE PRODUCTION)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
LGP LABORATOIRE GENIE DE PRODUCTION
Texas State University / INFONEER
University of Southern California / Information Sciences Institute
Clemson University/ Geometric Reasoning and Artificial Intelligence Lab
Help of the ANR 315,952 euros
Beginning and duration of the scientific project: September 2021 - 48 Months