Strona: 2020-2023 PLANET4 / Lean Academy

2020-2023 PLANET4

red. Dorota Stadnicka



Practical Learning of Artificial iNtelligence on the Edge for indusTry 4.0


Project No  621639-EPP-1-2020-1-IT-EPPKA2-KA

Project Website

Aim of the Project

PLANET4 aims at training a new generation of AI and ML on the edge experts who will contribute to the spreading of the I4.0 real practices in the EU companies by enabling the use of AI and ML for the optimization of industrial processes. PLANET4 experts will lead this disruptive change thanks to a set of hard and soft skills they will be trained on during the course.

Especially when it comes to fulfilling the increasing needs regarding I4.0, a Uni-Business integrated approach is necessary in order to combine the theoretical knowledge with its practical application. A renovated educational offer should include hard and soft skills, mind-set and professional attitude, providing the participants with the necessary tools to work in groups towards realistic goals, evaluate situations, seek solutions and bring about innovation and topical issues.



Artificial Intelligence, Machine Learning, Internet of Things, Edge Computing

To better prepare European students to work in industry using emerging technologies such as Artificial Intelligence, Machine Learning, Internet of Things and Edge Computing, PLANET4 is conducting a study to identify:

We invite you to take part in the research.

Publications related to the project:


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Project Partners

Università di Pisa (Italy)
Politechnika Rzeszowska im. Ignacego Łukasiewicza (Poland)
Universitat Ramon Llull (Spain)
University of Ioannina (Greece)
ValueDo srl (Italy)
Kaunas Science and Technology Park (Lithuania)
TOI S.R.L (Italy)
Bobst Germany (Germany)
Elecnor S.A. (Spain)
OHS Ltd (Germany)
Exquisite (Romania)

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Presentation of the PLANET4 project at the Polytechnic University of Marche

On September 28-30, 2022, the results of the JANUS project were presented to students at the Polytechnic University of Marche.

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The aim and assumptions of the project were presented, and then its results.

It was discussed how the created Taxonomy Explorer can be used and for what purpose it can be used.

It was explained why it is important to implement technologies such as Artificial Intelligence and Data Analysis, Industrial Internet of Things and Edge Computing in the industry.

At the end, the publications resulting from the project are shown, which can be studied to find out more about this topic.


Presentation of the PLANET4 project at the University of Ljubljana

On September 16, 2022, the PLANET4 project was introduced to teachers, researchers and doctoral students of the Faculty of Mechanical Engineering at the University of Ljubljana.

At the meeting, the objectives of the PLANET4 project were presented along with the results of the research and the developed project results.

The results of research carried out in the industry identifying the current challenges of the industry that can be solved with the use of methods and technologies in the field of Artificial Intelligence, Internet of Things and Edge Computing are presented.

The results of research conducted among students on the level of their knowledge in the field of Artificial Intelligence, Internet of Things and Edge Computing, as well as research among academic teachers on teaching technologies in this field were also presented.

Project results were also presented, in particular the developed taxonomy and training materials.

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International Project Meeting, Pisa, Italy

14-15 December 2021


Project Team


Project presentation on


“Future Skills for Europe’s Aerospace and Defence Industry”

21-22 October 2021

Rzeszów, Poland

Rzeszów University of Technology


PLANET4: Practical Learning of Artificial intelligence on the Edge for industry 4.0,
Grzegorz Dec, Rzeszów University of Technology

Photo: Arkadiusz Surowiec


Project presentation on

11th Conference Lean Learning Academy

International Conference on

“Manufacturing Education for a Sustainable fourth Industrial Revolution”

12 June 2021

Rzeszów University of Technology


Project presentation by Łukasz Paśko
Photo: Beata Motyka