Autonomous Textile Sorting Facility and Digital Twin Utilizing an Ai-reinforced Collaborative Robot

Researchers from the University of Agder have developed an autonomous robotic facility for textile sorting and recycling, leveraging advanced computer vision and machine learning technologies. The system enables real-time textile classification, localization, and sorting on a dynamically moving conveyor belt. The facility's custom-designed pneumatic gripper optimizes autonomous picking and placing operations, while digital simulation techniques refine robotic motion and enhance overall system reliability. This innovation has significant implications for the textile industry, particularly in terms of waste reduction and sustainable production practices.

Key Takeaways:

• The autonomous robotic facility uses advanced computer vision and machine learning technologies to enable real-time textile classification, localization, and sorting on a dynamically moving conveyor belt.
• The custom-designed pneumatic gripper is developed for versatile textile handling, optimizing autonomous picking and placing operations.
• Digital simulation techniques are utilized to refine robotic motion and enhance overall system reliability before real-world deployment.
• The multi-threaded architecture facilitates the concurrent and efficient execution of textile classification, robotic manipulation, and conveyor belt operations.
• Financial supporters for this research include Regionale Forskningsfond Agder through the ISORTx, Regionale Forskningsfond Agder.
• Additional authors for this research include Torbjorn Seim Halvorsen and Ilya Tyapin.
• The findings of this research have significant implications for the textile industry, particularly in terms of waste reduction and sustainable production practices.
• The innovation can be applied to various industries that require efficient and sustainable sorting and recycling processes.

Statistics:

• 2025 (year of research publication)
• 14 (volume number of the research publication in Electronics)
• 13 (issue number of the research publication in Electronics)
• 989 (page number of the research publication in Journal of Engineering)
• Electronics: 14(13), 1-12 (published online later than the specified date of August 4, 2025)

Sources:

• Electronics (2025;14(13)). Autonomous Textile Sorting Facility and Digital Twin Utilizing an Ai-reinforced Collaborative Robot.
• NewsRx. Findings from University of Agder Provides New Data about Robotics (Autonomous Textile Sorting Facility and Digital Twin Utilizing an Ai-reinforced Collaborative Robot). Journal of Engineering. August 4, 2025; p 989.