AI4CI - Robot Predictive Maintenance
Discover how to prevent robotic failures using predictive maintenance techniques, real-time data analysis, and hands-on tools with the Robot Predictive Maintenance course, part of the European AI4CI Master Artificial Intelligence for Connected Industries. Learn to detect anomalies, plan maintenance actions, and work with both commercial and open-source robotic platforms.
Background of the Master AI4CI
The AI4CI master is a European master opened at the universities Conservatoire National des Arts et Métiers (CNAM), Paris, France; Cnam Grand Est (CGE), Mulhouse, France; and National Technical University of Ukraine (NTUU), Kiev, Ukraine; University of Ulm, Germany; University Babeș-Bolyai (UBB), Cluj-Napoca, Romania, Avignon University, France and Polytechnic University of Catalonia (UPC), Barcelona, Spain.
The master teachers include world-class academics from our European partners and industry experts.
Pedagogical Objectives
The goal of this course is to teach you the basics of robotic typologies and operations, and how to perform and predict maintenance tasks on robots’ main constituent elements. This knowledge will enable you to define and implement a preventive maintenance plan for a robot, based on empirical tests and the manufacturer’s specifications. In this course, you’ll learn the fundamentals of identifying and visualizing anomalies and failures in data provided by robot components. You’ll learn how to map these anomalies to failure conditions, enabling you to perform predictive maintenance to manage failures and avoid costly downtimes. The course includes learning about the electrical motor elements that comprise an articulated robot and understanding their operation and function. You’ll study the basic elements required to process and understand data obtained from the robot’s internals for predictive maintenance purposes. Additionally, you’ll learn how to carry out error diagnosis based on the robot’s operation log and how to prevent accidents during the maintenance of robotic equipment.
Prerequisites
Basic Programming Knowledge.
Electronics Fundamentals: Basic electronics concepts such as resistance, voltage, current; having some experience with electronic components could be interesting for working with robotic software simulation.
Target audience
This course is designed for industrial automation professionals who want to learn about predictive maintenance for industrial robots. However, junior professionals or students with basic knowledge on industrial robots can also apply.
Topics
Morphological Foundations in Robotics: Types of Robots, Movement Control Systems, and Approaches to Access Maintenance Information of Main Constituent Elements
Mathematical and Programming Fundamentals of Robotic Programming
Basic Robotic Sensors: Definition, Calibration, Potential Problems, and Maintenance
Preventive and Predictive Maintenance: Tools to Forecast Incidents and Create Maintenance Programs (Parts 1 & 2)
Dates
2-6 June 2025, duration 25.5h.
Mon: 13:00-19:00 CEST
Tue: 09:00-16:00 CEST
Wed: 09:00-16:00 CEST
Thu: 09:00-12:30 CEST
Fri: 09:00-15:00 CEST
This is followed by an evaluation assignment (self-paced, approx. 45h).
Modalities
Hybrid: either remotely online or onsite at ITCL, free of choice.
Registration fees
Industry professionals: EUR 800
University students: EUR 650
Certification:
ITCL will issue a certificate indicating the international master’s degree AI4CI - European Master Artificial Intelligence for Connected Industries.
