C4liTwin: Machine-Learning self-calibration and modelling of robotic arms using Digital Twins

Forschungsstelle

INNOSUISSE

Projektnummer

112.220 IP-ICT

Projekttitel

C4liTwin: Machine-Learning self-calibration and modelling of robotic arms using Digital Twins

Projekttitel Englisch

C4liTwin: Machine-Learning self-calibration and modelling of robotic arms using Digital Twins

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Schlüsselwörter	-	-	-
Abstract	-	-	-

Kategorie	Text
Schlüsselwörter (Englisch)	ICT, Artificial/local/extended/networked intelligence
Abstract (Englisch)	The C4liTwin projet (pronounced "calitwin") brings together machine learning and the virtual twin technology to develop the framework and algorithms required to self-calibrate the C4 robotic arms of Trimos by creating a digital twin to model the arm behaviour and enable automatic re-calibration.