This book presents the proceedings of the 4th EAI International Conference on Automation and Control in Theory and Practice (ARTEP 2026), which took place from May 13–15, 2026 Sromowce Niżne, Poland. This book offers valuable insights from scientists in automation and control, blending theory and practice to reflect advances in the field. It explores key theoretical foundations, including modern automatic management methods, modelling, simulation, and the role of artificial intelligence alongside practical engineering education. The discussion extends to contemporary automation technologies within Industry 4.0, highlighting hardware and software solutions for machine and process automation, with concrete examples and industrial applications. Attention is also given to emerging trends with Unmanned Aerial Vehicles and Industry 5.0, focusing on AI-driven autonomous systems, real-time data processing, autonomous navigation, and collaborative UAV missions, as well as advanced sensing and imaging technologies relevant to industrial logistics and manufacturing. The experiments and research presented enable readers to expand their knowledge and apply these findings practically. Each article features a clear structure and visual aids supporting the research, making the content accessible not only to specialists but also to general readers.
This book presents the proceedings of the 4th EAI International Conference on Automation and Control in Theory and Practice (ARTEP 2026), which took place from May 13–15, 2026 Sromowce Niżne, Poland. This book offers valuable insights from scientists in automation and control, blending theory and practice to reflect advances in the field. It explores key theoretical foundations, including modern automatic management methods, modelling, simulation, and the role of artificial intelligence alongside practical engineering education. The discussion extends to contemporary automation technologies within Industry 4.0, highlighting hardware and software solutions for machine and process automation, with concrete examples and industrial applications. Attention is also given to emerging trends with Unmanned Aerial Vehicles and Industry 5.0, focusing on AI-driven autonomous systems, real-time data processing, autonomous navigation, and collaborative UAV missions, as well as advanced sensing and imaging technologies relevant to industrial logistics and manufacturing. The experiments and research presented enable readers to expand their knowledge and apply these findings practically. Each article features a clear structure and visual aids supporting the research, making the content accessible not only to specialists but also to general readers.
Michal Balog
Automation Management Modelling Simulation Artificial Intelligence (AI) Control Engineering Education Industry Manufacturing Autonomous Systems Unmanned Aerial Vehicles