Using the Dempster-Shafer theory in Data Fusion  solutions for collaborative robotic manipulators within  Industry 5.0

Публікація:
Using the Dempster-Shafer theory in Data Fusion solutions for collaborative robotic manipulators within Industry 5.0

dc.contributor.author	Yevsieiv, V.
dc.date.accessioned	2024-10-05T13:01:55Z
dc.date.available	2024-10-05T13:01:55Z
dc.date.issued	2024
dc.description.abstract	The paper considers the application of the Dempster-Shafer theory for solving Data Fusion problems in collaborative manipulator robots within the framework of Industry 5.0. Approaches to the integration of data from various sensors, such as cameras, ultrasonic sensors, and strain gauges, are described to improve the accuracy of decision-making in the processes of capturing and manipulating objects. An analysis of the effectiveness of this methodology in complex production environments with heterogeneous data was carried out.
dc.identifier.citation	Yevsieiv V. Using the Dempster-Shafer theory in Data Fusion solutions for collaborative robotic manipulators within Industry 5.0 / V. Yevsieiv // Manufacturing & Mechatronic Systems 2024 : Proceedings of VIII st International Conference, October 25-26, 2024. - Kharkiv, 2024. - P. 99-101.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/28949
dc.language.iso	en_US
dc.subject	Industry 5.0
dc.title	Using the Dempster-Shafer theory in Data Fusion solutions for collaborative robotic manipulators within Industry 5.0
dc.type	Thesis
dspace.entity.type	Publication