The paper presents an approach that enables efficient multi-agent path planning. The environment is described by a graph that represents a network of roads and crossroads for vehicles of different shapes and velocities. The multi-agent pathfinding approach is based on a safe interval path planning algorithm with priorities and safe locations, which together allow for lifelong operation.

The study investigates the use of additive manufacturing technologies in the production of hydraulic components, focussing on 3D-printed valves and manifolds with integrated pressure sensors. Additive technologies such as Metal Binder Jetting (MBJ) and Selective Laser Melting (SLM) enable design freedom, component consolidation and optimisation of internal geometry to reduce pressure losses and mass.

This paper presents the use of a digital twin as a key tool for optimizing layouts and internal logistics in the company UNIOR. Following the closure of one of its production units, it was necessary to relocate several machines and technologies to two existing locations, with the goal of achieving an efficient arrangement with minimal construction interventions.

The paper presents implementation of advanced algorithms in PLC using the higher-level programming language SCL for PID parameter tuning in process automation. Nowadays advanced algorithms can also be implemented directly in PLCs, whereas implementation of artificial intelligence and machine learning algorithms is particularly interesting.

Traditional approaches to robotic surface machining often rely on a predefined, constant direction and speed of tool motion, regardless of the local characteristics of the workpiece. Such a uniform strategy results in inefficient utilization of the robot’s capabilities, particularly when dealing with complex geometries where the kinematic performance can vary significantly across different surface regions.

This technical paper details the development of an application aimed at automating the pipetting process in pharmaceutical laboratories. The focus is on autonomous adapting of Onelab protocols for programming the Andrew+ robot.

The validation of computerized systems in the pharmaceutical industry is increasingly complex due to the rapid advancement of digital technologies. Ensuring compliance with Good Manufacturing Practices (GMP), Good Laboratory Practices (GLP), and data integrity (DI) standards requires structured documentation and adherence to regulatory guidelines, such as GAMP 5.

The introduction of 5G technology has started a transformative leap in connectivity, enabling seamless integration between existing and new devices in industrial environments. This connectivity solves some technological challenges of linking IT systems with manufacturing processes and offers greater flexibility, agility and efficiency. In industrial applications, 5G facilitates the remote monitoring of equipment, the optimization of logistical processes and the implementation of predictive maintenance, making it a cor- nerstone of smart manufacturing.

The implementation of computerized systems in pharmaceutical industry must meet the compliance with regulatory requirements, assure high level of data integrity (DI) and product quality. This study reviews European legislation, the European and U.S. pharmacopoeias, and global guidelines, such as GAMP 5 and ALCOA++, to identify the necessary standards and best practices.

Sustainable development and the Green Deal are very important for preserving the natural environment and improving energy efficiency. This is closely linked to the manufacturers of machinery and equipment, including the manufacturers of hydraulic drives. As part of a public tender, a pilot project was carried out to find better designs for hydraulic drives.