Análise de requisitos da utilização de AMR’s em ambiente hospitalares utilizando a rede 5G

Abstract

The evolution of Industry 4.0 and the adoption of advanced technologies, such as Autonomous Mobile Robots (AMRs), LiDAR sensors, and 5G connectivity, are transforming critical sectors, including the hospital environment. In this context, this dissertation evaluates the requirements and performance of using AMRs in hospitals with 5G connectivity to optimize processes and ensure greater efficiency in patient care. The objective of this study is to analyze the integration of these technologies and their feasibility for automating hospital tasks, such as medication transportation and environment disinfection. To achieve this, experimental evaluations were conducted in a simulated environment, considering key performance variables such as network latency, response speed, reliability, AMR reaction time, and data transfer rate. The tests showed that indoor 5G connectivity significantly reduces latency and improves the reliability of automated operations, making AMRs more efficient and safer for hospital applications. The results also indicated that integrating LiDAR enhances the robots' navigation, minimizing collisions and optimizing routes. Thus, this research contributes to the advancement of hospital technologies, highlighting the importance of automation in increasing the safety and efficiency of healthcare services.