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micro-module

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.
Open for application

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

AB
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Artur Błaszczyk
Teacher
0 learners
Study format
Online
Application period
29 June – 15 September 2025
Study period
1 October 2025 – 28 February 2026
Credits
2 ECTS
Hosting university
Lodz University of Technology
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Learning outcomes

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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Information

Are you curious about how cutting-edge factories keep running 24/7 without breaking up? Want to learn how smart technologies like AI, sensors, and data analytics are transforming the way we maintain machines? In “Towards Smart Maintenance in Robotized Industrial Lines”, you’ll step into the world of Industry 4.0 and explore how modern production systems stay efficient, reliable, and sustainable. Through interactive online sessions, virtual labs, and real-world case studies, you’ll discover how smart maintenance prevents costly failures, reduces waste, and supports greener manufacturing. Whether you’re into robotics, engineering, data science, or sustainability, this project offers hands-on experience and future-ready skills. No prior knowledge of robotics is required—just curiosity and the motivation to learn how tomorrow’s factories are built and maintained.

Hosting university

Lodz University of Technology

Lodz University of Technology