Abstract
This paper presents the exciting use of robotics to teach technologies in an approach that motivates the students through intuitive learning. MSc degree programme students are engaged in strong team-building, while developing and testing new algorithms for mobile robotics and electronics areas. This project endows students with intuitive learning, and experimental results revealed that the integration of skills allows the students to develop applications for real scenarios. In this work it is described an application to control with hand gestures, several differential driven robots. © 2019 IEEE.

Abstract
Spinal cord injuries are among the most traumatic situations, having relevant repercussions on an individual’s occupation performance. Although loss of functionality is considered to be the most significant consequence, neuropathic pain can determine an individual’s inability to return to daily activities. Therefore, it is imperative to develop new technologies with significant impact on the rehabilitation process of the spinal cord injuries. VR4NeuroPain combines virtual reality with a glove “GNeuroPathy”, covered with a variety of biosensors, that allows for the collection of physiological parameters and motor stimulation. The main purpose of this paper is to describe the system VR4NeuroPain, and to validate the “GNeuroPathy” concept. With that in mind, and after calibrating the VR4NeuroPain system using with a group of 16 individuals, the validation results showed that “GNeuroPathy” was comfort, accessibility in place and the collection of physiological parameters was performed as expected. © Springer International Publishing AG, part of Springer Nature 2019.

Abstract

Abstract
Spinal cord injuries are one of the most traumatic situations with a major impact on a person's quality of life. This type of injury have a extremely impact in the performance of daily life activities not only due to motor alterations but also due to the appearance of neuropathic pain Throughout the rehabilitation process the evaluation and intervention methodologies are not very systematic and are not personalized. Thus, to bridge this gap, the VR4NeuroPain was developed a technology that associates virtual reality with a glove "GNeuroPathy". The glove "GNeuroPathy" allows the collection of physiological parameters, namely to identify the electrodermic activity (EDA) while the patient carries out activities in an immersive environment. The main objective of this article is to present the validation process of the "GNeuroPathy" in clinical context. "GNeuroPathy" was applied to a group of 17 individuals with incomplete spinal cord injury. The results showed that "GNeuroPathy" is easy to apply and is suitable for comfort and texture. Data were also collected from EDA and it was found that there is a significant difference in signal amplitude in patients with low and high functionality. © 2019 by SCITEPRESS - Science and Technology Publications, Lda.

Abstract
The Light in Tiles (LiT) project is an innovation project funded by the European Commission and aims to develop a new technological solution for the manufacture of traditional flooring and tiles with integrated LED lighting technologies. The goal is to incorporate in traditional ceramics, without changing its characteristics or dimensions, light effects for lighting and decoration. These tiles must have an easy interconnecting method, both for assembly and for possible repair. The LiT project aims to offer the market a solution that breaks with traditional products from the point of view of their technical, functional and even aesthetic characteristics. This article briefly presents the first developments in the incorporation of LED lighting in traditional ceramic tiles. © 2019 IEEE.

Abstract
In this study, we analyze the potential of collaborative robotics in automated quality inspections in the industry. The development of a solution integrating an industrial vision system allowed evaluating the performance of collaborative robots in a real case. The use of these tools allows reducing quality defects as well as costs in the manufacturing process. In this system, image processing methods use resources based on depth and surface measurements with high precision. The system fully processes a panel, observing the state of the surface to detect any potential defect in the panels produced to increase the quality of production.