This study presents an extended approach to digital twins for improving sustainability and efficiency in assembly systems. As part of the development, two digital twins were developed for a pallet circular production line with three workstations.

3D scanning is a non-contact technology that can convert a physical object into a digital model, enabling the industry to perform reverse engineering and quality control (checking compliance with regulations). Advanced technologies such as 3D scanning are often used in quality control.

Users of modern machines and equipment, both at home and at work, expect the ability to monitormachine operating parameters on mobile devices. This allows for easy insight into the machine’s status, monitoring of working capacity, fast diagnostics and remote service, warning of potential problems and preventive maintenance. The goal of the project is to provide users of forestry machines with a very simple insight into the machine’s operation.

Upfront simulation is a term to describe simulation activities being performed early in the design stage. So before physical prototypes are made or full systems being built. The goal is to identify potential issues, optimize designs and predict performance as early as possible, when changes are cheaper and easier to make.

This article presents five innovative mechatronic prototypes developed as educational tools to enhance engineering education by bridging theoretical concepts with practical implementation. The systems are organized into two thematic sections.

The article presents the use of the Gradient Adjoint Method for numerical optimization of internal channels in hydraulic manifolds manufactured using additive manufactuirng. Traditional design methods are often limiting the geometry due to machining and support structure requirements. Additive manufacturing enables complex geometries; however, for components with internal fluid flow, it is still necessary to consider the constraints of additive manufacturing processes and self-supporting conditions.

Sustainable cultivation of urban agricultural areas in the future can be achieved by using automated fleets of processing robots that will be able to adapt their activities to the availability of solar energy. Since this energy source varies depending on the season, it is crucial to consider several factors when designing power systems and algorithms for robot operation.

This paper introduces a structured approach to the multi-objective optimization of electrical machines. The process covers the key steps: defining the problem, identifying the most relevant key performance indicators and constraints, setting the design space, formulating objective functions, and then modeling and evaluating the results.

This paper presents the use of an Automated Guided Vehicle (AGV) for supplying robotic cells with products at LTH Castings d.o.o., a company that has been successfully expanding its business for many years while placing strong emphasis on investments in the automation of the production processes. Although the current level of automation is already high, further investments in this area are essential, as the rapid development of industry requires continuous upgrading and optimization.

This paper introduces six novel mechatronic systems driven by pneumatic actuators, developed as instructional models aimed at enhancing the education of mechanical engineering students in pneumatic power systems and automatic control. The initial system presented is an autonomous vehicle prototype powered entirely by compressed air, utilizing pneumatic artificial muscles for propulsion.