A Novel Autonomous Robotic Vehicle-Based System for Real-Time Production and Safety Control in Industrial Environments

• DOI: 10.3390/computers14050188
• Publication Date: 2025-05-12T14:58:07Z
• Authors: Athanasios Sidiro...; Dimitrios Konstan...; Xenofon Karamanos; Theofilos Mastos; Konstantinos Apos...; Theocharis Chatzis; Maria Papaspyropo...; Kalliroi Marini; Georgios Karamitsos; Christina Theodor...; Andreas Kargakos; Matina Vogiatzi; Angelos Papadopoulos; Dimitrios Giakoumis; Dimitrios Bechtsis; Kosmas Dimitropoulos; Dimitrios Vlachos
• Keywords: Real-time Control System; Industrial Production

Industry 4.0 has revolutionized the way companies manufacture, improve, and distribute their products through use of new technologies, such as artificial intelligence, robotics, machine learning. Autonomous Mobile Robots (AMRs), especially, have gained a lot attention, supporting workers with daily industrial tasks boosting overall performance by delivering vital information about status production line. To this end, work presents novel Q-CONPASS system that aims to introduce AMRs in lines ultimate goal gathering important can assist safety control. More specifically, is based on an AMR equipped plethora learning algorithms enable vehicle safely navigate dynamic environment, avoiding humans, moving machines, stationary objects while performing tasks. These include identification following: (i) missing during product packaging (ii) extreme skeletal poses lead musculoskeletal disorders. Finally, was validated real-life environment (i.e., lift manufacturing industry), showcasing importance collecting processing data real-time boost productivity improve well-being workers.