Technologies and techniques of location and navigation are advancing, allowing greater precision in locating people in complex and challenging conditions. These advances have attracted growing interest from the scientific community in using indoor positioning systems (IPSs) with a higher degree of precision and fast delivery time, for groups of people such as the visually impaired, to some extent improving their quality of life. Much research brings together various works that deal with the physical and logical approaches of IPSs to give the reader a more general view of the models. These surveys, however, need to be continuously revisited to update the literature on the features described. This paper presents an expansion of the range of technologies and methodologies for assisting the visually impaired in previous works, providing readers and researchers with a more recent version of what was done and the advantages and disadvantages of each approach to guide reviews and discussions about these topics. Finally, we discuss a series of considerations and future trends for the construction of indoor navigation and location systems for the visually impaired.

In recent years, the educational field has evolved rapidly owing to the integration of several technologies, especially experiments in remote laboratories in the engineering area. Therefore, this article addresses the development of an innovation system for automatically correcting experiments in remote laboratories in mechatronics using digital twins, convolutional neural networks (CNNs), and generative artificial intelligence technologies. This system was designed to overcome the limitations of physical laboratories and teacher’s availability and assist in learning, enabling automatic acquisitions at any time. The digital twin captures data from the teacher’s and student’s experiments, allowing accurate comparisons to identify successes and errors. The application of CNNs serves to validate the results of the experiments through image analysis, whereas generative AI helps to identify patterns. The system was evaluated in a didactic plant, effectively correcting experiments with digital inputs and outputs. In addition, it provides students with detailed feedback on their performance, including specific errors and suggestions for improvement. With a three-layer architecture, i.e., experiments, didactics, and management, the system efficiently processes data from teachers and students, contributing to correcting experiments and optimizing teaching in remote environments.

Information about the paper titled "INDUSTRIAL REAL-TIME DIGITAL TWIN SYSTEM FOR REMOTE TEACHING USING NODE-RED" at IATED Digital Library

This innovative practice WIP is about using serious games in robotics education. In the realm of STEM education, the professional development of students is intrinsically linked to practical experiences, such as hands-on exercises, experiments, and laboratory classes. However, the financial implications of acquiring and maintaining mechatronic devices such as robots, automation-related equipment, and instruments for these activities are high. These excessive costs, which cover initial funding and ongoing maintenance, pose challenges for educational institutions in establishing and maintaining well-equipped laboratories. In addition, access to these resources depends on their availability, creating restrictions on student learning opportunities. The state of Amazonas, Brazil, needs to solve these problems; as a city of numerous factories, there is a growing demand for well-trained professionals and a dwindling number of resources to apply to education. To address these challenges, we propose an approach that integrates simulation tools for application in educational games. These tools used to conduct simulations are essential for developing shop floor scenarios without physical equipment, effectively reducing the costs associated with mechanical collisions and problems related to student programming errors. The importance of using simulation tools in the learning process lies in their ability to offer a risk-free environment where students can experiment, learn, and perfect their skills without incurring additional expenses for corrective maintenance. Innovatively, the incorporation of gamification-based learning by simulating real problems based on the shop floor is gaining momentum. We believe this is the most attractive way for trainees or students to deliver fast, high-quality professionalism. This approach represents an appealing alternative for educators looking to enhance their educational experience. From this perspective, this paper presents the application of a serious game in the industrial laboratory at UFAM. The aim is to offer students a dynamic and engaging platform for learning about collaborative robots, taking advantage of the principles of the learning factory, and promoting good practices in an economical and risk-controlled virtual environment.

Information about the paper titled "VIRTUAL SETUP - AUTOMATIC VIRTUALIZATION OF INDUSTRIAL PLANTS FOR DIDACTIC PURPOSES" at IATED Digital Library

Information about the paper titled "DEVELOPMENT OF A DIDACTIC TOOL FOR TEACHING AUTOMATION AND CONTROL THEORY BASED ON AN INDUSTRIAL TANK SYSTEM" at IATED Digital Library