Dissertação PPG.EGPSA

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/3

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Tem arquivos: SimAssunto: search.filters.subject.LiDAR

Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
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    Hardware didático para mapeamento indoor com LiDAR: uma abordagem para a Indústria 4.0
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) GUABIRABA, Rafael Braga; MARTINELLI FILHO, Nelson
    The Manaus Industrial Hub is an innovation center driven by industry, government, and education, requiring accelerated workforce qualification for Industry 4.0. The rapid technological transition demands effective training strategies, reducing dependence on external models. Therefore, the development of accessible educational systems is essential to prepare professionals for this new reality. This dissertation proposes a compact architecture capable of supporting ROS, focusing on indoor environment mapping. This platform is designed for educational purposes, providing an introductory experience in robotics. The selected materials prioritize portability, utilizing a Raspberry Pi 4 Model B and an RPLidar 360° laser sensor. The results demonstrate the system's feasibility for both educational and industrial applications, contributing to the training of skilled professionals for Industry 4.0.
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    Análise de requisitos da utilização de AMR’s em ambiente hospitalares utilizando a rede 5G
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) NUNES, Wesley Muller Costa; MARINELLI FILHO, Nelson
    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.