Abstract

Abstract

Abstract
Nowadays global population and energy consumption and resources use are increasing, which means that the current consumption levels are unsustainable and a new approach for businesses of energy companies is required. This paper aims to conduct a systematic review of the literature about sustainable business models (SBM) in the energy sector. The main object of this study is to identify the current challenges and changes in business models in the energy sector to account for sustainability concerns. In this paper, 23 articles published in the last 5 years (Jan 2018 to Jun 2022) were selected and reviewed based on a meta-analysis. The articles were obtained from Scopus and Web of Science (WoS) databases departing from an appropriate set of keywords. The result of this study illustrates the importance of SBM in the energy sector and the important factors considered in their development.

Abstract
Entre as metodologias de ensino que vem ganhando espaço no ambiente escolar destaca-se a Robótica Educacional (RE), que é capaz de propiciar uma inserção tecnológica de maneira prática e melhorar a dinâmica de ensino em sala de aula. Visando a disseminação dessa ferramenta, a Universidade Federal Rural do Semiárido (UFERSA), em parceria com a Petrobras, desenvolveu o projeto de extensão Robot em Ação, cujo objetivo foi levar a RE para escolas públicas do município de Mossoró (RN). Neste projeto, os participantes passaram pelo processo de inserção tecnológica, com aulas que utilizaram a RE como metodologia de ensino. Dessa forma, este artigo apresenta o relato deste projeto junto com a análise da perspectiva de vida dos alunos das escolas, antes e após a sua participação no mesmo. Os resultados obtidos destacam os benefícios da robótica educacional e o impacto positivo oferecido pelo projeto na vida desses alunos.

Abstract

Abstract
The robotization and automation of tasks are relevant processes and of great relevance to be considered nowadays. This work aims to turn the manual action of assigning the score for the robotic competition Robot at Factory 4.0 by an automatic referee. Specifically, the aim is to represent the real space in a set of computational information using computer vision, localization and mapping techniques. One of the crucial processes to achieve this goal involved the adaptive calibration of the parameters of a digital camera through visual references and tracking of objects, which resulted in a fully functional, robust and dynamic system that is capable of mapping the competition's objects accurately and correctly performing the referee's tasks.