P31: International Summer School on Industrial Agents – Introductory/Advanced #04

P31: International Summer School on Industrial Agents – Introductory/Advanced #04

6 credits
Start date: 11 July 2022

University: Linköping University

Target group: Industry, PhD Student


Last day of registration: 11 June 2022
Spots: 10 left (of 10)

The last day of application has already passed.

We are happy to announce and invite you to the 8th International Summer School on Industrial Agents: Autonomous Control in logistics, production and energy applications, organized by the Helmut Schmidt University, Institute for Automation Technology in Hamburg. The summer school will take place from 11th to 15th July 2022. The International Summer School on Industrial Agents brings together leading researchers and PhD students in the field of agent technology. As a PhD student you will have the opportunity to participate in different workshops, get to know like-minded people from an international community and build valuable relationships in your research field.

Registration

Please register to the course directly with the organizers and mentioned that you are enrolled on the Produktion2030 graduate school:

International Summer School on Industrial Agents 2022: Autonomous Control in logistics, production and energy applications

Aim

The summer course aims to enhance the participants’ knowledge in the field of distributed and multi-agent systems (MAS) applied to industrial environments, particularly providing hands-on knowledge to develop industrial cyber-physical systems (e.g. production systems, smart grids, etc.). The main objectives of the course are:

Participants will be able to gain a range of theoretical and practical skills necessary to develop agent-based applications to develop industrial cyber-physical systems.

Intended learning outcomes

After completion of the course the course participant should be able to

Course content 

The course provides, through the view of several international experts, different core subjects involved in the design, development and implementation of very intelligent productions systems. Such systems are able, by design, to take autonomous decisions as a reaction to continuously changing production environments where products being produced change frequently and the system can be seamlessly changed to cater for the new production requirements. Products and production equipment are considered individual intelligent units that have a mechanical/physical part and a cyber component (cyber-physical formulation). The cyber part ensures that the system components interpret each other’s actions and needs and behave as a society of intelligent artificial being that can cater for different production disturbances and actively collect data that is further transformed in knowledge used to improve the autonomous response of the system as an whole. Such a vision has lately been put in evidence by several research agendas and in particular the German “Industrie 4.0” that coined the term Industry 4.0. However most of the contributions far precede the existence of I4.0 and all the teachers in the course of a very significant track record in these previous contributions dating back in time more than 10 years.

Course organisation

Participants will attend lecture and tutorials delivered by well-known experts in the field from industry and academia to share their experience of developing and applying agent-based solutions in applied industrial context. The summer course will provide a good opportunity to meet prominent researchers, share best practices and to network with participants that may lead to research collaborations in the future. Please see the scheduling here:

International Summer School on Industrial Agents 2022: Autonomous Control in logistics, production and energy applications

Examination

A successful completion of this course will be judged on the following:

Literature

Will be provided by the different teachers during the course. Other literature or preparation work such as set-up of software tools will be communicated to the students shortly before the course.

Contact

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