Nevliudov, I. Sh.Yevsieiev, V.Jabrayilzade, E.2025-08-242025-08-242025Nevliudov I. Study of a Hybrid Mobile Manipulating Robot Control System Based on Machine Vision and Sensor Networks in Industry 5.0 Production Scenarios / I. Nevliudov, V. Yevsieiev, E. Jabrayilzade // IIX International Scientific and Practical Conference «SCIENCE OF POST-INDUSTRIAL SOCIETY: GLOBALIZATION AND TRANSFORMATION PROCESSES» 2025. – No 55. – P. 408-411ISSN 2710–3056https://openarchive.nure.ua/handle/document/32385In the current conditions of transition to the Industry 5.0 paradigm, the key task is to ensure effective and safe interaction between humans and robots in a shared production environment. Mobile manipulator robots perform complex operations in a dynamically changing environment where numerous factors influence the control system's decisions: people's movement trajectories, the presence of obstacles, changes in the location of objects, etc. Traditional control systems based solely on sensor data or machine vision have limitations in response speed and recognition accuracy. The use of a hybrid control system that combines machine vision and sensor networks makes it possible to improve the accuracy of situation assessment, decision-making speed, and the safety of interaction with the operator.en-USIndustry 5.0 paradigmmanipulator robotshybrid control systemThesis