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Towards Smart Maintenance in Robotized Industrial Lines WS25_26

Towards Smart Maintenance in Robotized Industrial Lines WS25_26

Leveraging Sensors, AI, and Digital Twins to Prevent Downtime.
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Description

This course invites students to explore the future of industrial maintenance in highly automated and robotized production environments. Participants will learn about predictive maintenance strategies, real-time monitoring technologies, and the integration of smart tools such as IoT sensors, data analytics, and digital twins. Through virtual workshops, case studies, and collaborative tasks, students will design innovative maintenance concepts that improve reliability, efficiency, and sustainability in manufacturing. The project emphasizes practical problem-solving, teamwork, and the role of smart maintenance in supporting ESG goals and Industry 4.0 standards.

The Team

Teamchers

These are the teamchers you'll work with on the challenge.

AB
Profile photo
Artur Błaszczyk
Teacher

Learners

22 learners
Study period
1 October 2025 – 28 February 2026
Study format
Online
Application period
29 June – 30 September 2025
Credits
2 ECTS
Hosting university
Lodz University of Technology
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Information

Value and progress

Understands basic industrial maintenance strategies.

ESCO SKILLS

Understands the structure and operation of robotized production lines.

ESCO SKILLS

Identifies failures in industrial automation and selects appropriate maintenance actions.

ESCO SKILLS

Applies smart technologies to improve maintenance efficiency.

ESCO SKILLS

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Hosting university

Lodz University of Technology

Lodz University of Technology