Applied robotics deals with industrial robots and their use in industry. Different kinds of robots are simulated and presented in the course, namely, mobile robots, logistic robots, collaborative robots and additive manufacturing robots. The course covers the structure and properties of robots, as well as principles for use in industry based on different principles. The course introduces Industry 5.0, which is a human-centered vision of industry that complements the existing Industry 4.0 approach.Based on the requirements placed on a robot system, these can be configured based on different technical starting points, how they should be used and methods to create efficiency. Commonly occurring equipment is taken up as adaptations to different work processes and applications. This is where grippers and sensors come in, as well as process equipment of various kinds. The course covers factors for investment, as well as labs on how programming can be handled. Target group This course is for professionals who work with production systems, automation and robotization at various levels as responsible for individual production lines, departments, or role as production manager or production development. The course will mainly focus on the manufacturing industry in application examples, but the principles covered will be applicable to a number of industries including consulting companies working towards the manufacturing industry. Content The course includes the following: Structure and characteristics of industrial robots in automationGuide and factors when investing in robot systemsLabs in programming with industrial robotsDevelopment trends – a global perspectivePractical information The majority of the parts of the course will take place on Campus (Växjö), and remotely. During the course, participants will be asked to contribute an automation-based study case from the companies where they are active. Study cases are reported during the course. These, together with performed laboratories, constitute the examination of the course. We will as far as possible be flexible with times for the various course elements. Teaching language: Swedish. Literature and certain elements may be in English. The course is free of charge and gives 3 higher education credits, which normally includes approx. 80 hours of work. Course material will be distributed in connection with the course. Entry requirements Basic qualification at advanced level in mechanical engineering or equivalent. Candidates with relevant work experience are also welcome to apply. Two years of relevant work experience is considered equivalent to one year of university studies at bachelor's level. We can validate your competence if necessary. Registration: Registration can be done continuously until the start of the course.
Increased knowledge of condition monitoring and predictive maintenance can help companies and organizations increase their efficiency, reduce costs, improve reliability and sustainability, and increase their competitiveness in the market. It is an important part of modern technical and industrial activities. Target groupThe course is aimed at professionals who work in various ways with condition monitoring and predictive maintenance, such as maintenance engineers, maintenance technicians, maintenance managers and production managers or similar. ContentThe course consists of four parts. In the first part, we focus on the central concepts within maintenance strategies such as condition monitoring and predictive maintenance. How can these strategies contribute to the company's sustainability work and how to establish programs for condition monitoring and predictive maintenance. The second part focuses on building the theoretical base around condition monitoring. Various techniques in condition monitoring will be investigated. It will be practiced theoretically on the identification of problems and deviations in condition monitoring signals. In the third part of the course, practical work takes place. Different techniques will be used to detect and diagnose different problems. We will work on how to choose the appropriate specifications and requirements for sensors and data acquisition systems. The course ends with the fourth part where the project work that involves establishing a condition monitoring system in a maintenance organization is reported and discussed. The course includes the following elements: Maintenance strategies such as condition monitoring, condition-based maintenance and predictive maintenance. Different techniques for condition monitoring. How condition monitoring can affect the company's sustainability work and profitability. How to identify faults and damage by analyzing condition monitoring signals. Specifications of sensors and data acquisition systems. How to establish a condition-based/condition monitoring system. Practical informationThe course consists of lectures, exercises and seminars, these will be offered either online or onsite (see the schedule for more information). Assessment of the students' performance takes place through written assignments and participation in mandatory seminars. All the parts must be approved to be pass the course. The course is given in English. Entry requirementsBasic qualification at advanced level in mechanical engineering or equivalent. Applicants who do not meet this requirement can, by showing corresponding prior knowledge through work experience, be validated as qualified. Two years of relevant work experience then corresponds to one year of college or university studies at basic level.
During this free course you will learn what to do when digital transformation is rapidly changing your work life. You will learn how to manage the disruptive process that often occurs due to digitalization and how the new business landscape evolves as a consequence. This course gives you an introduction to: New business opportunities and the need for reorganization The impact of digitalization on customers and on external and internal processes Digital trends changing value creation for your customers How to master strategies, methods and approaches for you and your business when tackling digital transformation Sorting mechanisms for better prioritization The course was developed in collaboration with EIT Digital.
During this free course you will learn what to do when digital transformation is rapidly changing your work life. You will learn how to manage the disruptive process that often occurs due to digitalization and how the new business landscape evolves as a consequence. This course gives you an introduction to: New business opportunities and the need for reorganization The impact of digitalization on customers and on external and internal processes Digital trends changing value creation for your customers How to master strategies, methods and approaches for you and your business when tackling digital transformation Sorting mechanisms for better prioritization The course was developed in collaboration with EIT Digital
Gain essential practical skills in the application of robotics to understand how to use robotic tools across various industries. On this two-week course you’ll develop a working knowledge of the use of robotics, gaining essential practical skills for robotic applications. Delving into the fundamentals of robotics, you’ll be equipped with the basics of 3D modelling, object detection, computer vision, and image processing. You’ll discover examples and get hands-on experience in developing engaging and useful robotics applications. The skills you gain in this course will help you understand how to develop robotic tools in application across various sectors. Delve into object detection Gain practical skills in the application of robotics Learn from the experts at Luleå University of Technology This course is designed for anyone interested in learning how to develop robotic tools. It will be most beneficial for those who have some theoretical knowledge of robotics and want to gain more hands-on experience. This course will be given in English.
Explore the different tools and software to design, test, and prototype custom robot parts and robust robot behaviour. In recent years, industries around the world have been getting creative when it comes to incorporating robotics into their workflows. This three-week course offers a fascinating introduction to software and tools currently used in robotics. You’ll build basic knowledge of robotics tools and learn how they can be adapted for different industries. Familiarise yourself with Ubuntu operating system and Gazebo framework Gain hands-on experience using 3D robotics models in simulation Learn from the experts at the cutting edge of control engineering, robotics, and AI This course is designed for anyone interested in using robotic solutions in their role and who wants to learn the basics of robotics frameworks. The course will be given in English.