Search results

This paper aims to propose a translation library capable of generating robots proprietary code after their offline programming has been performed in a software application, named AdaptPack Studio, running over a robot simulation and offline programming software package.

The translation library, named AdaptPack Studio Translator, is capable to generate proprietary code for the Asea Brown Boveri, FANUC, Keller und Knappich Augsburg and Yaskawa Motoman robot brands, after their offline programming has been performed in the AdaptPack Studio application.

Simulation and real tests were performed showing an improvement in the creation, operation, modularity and flexibility of new robotic palletizing systems. In particular, it was verified that the time needed to perform these tasks significantly decreased.

The design and setup of robotics palletizing systems are facilitated by an intuitive offline programming system and by a simple export command to the real robot, independent of its brand. In this way, industrial solutions can be developed faster, in this way, making companies more competitive.

The effort to build a robotic palletizing system is reduced by an intuitive offline programming system (AdaptPack Studio) and the capability to export command to the real robot using the AdaptPack Studio Translator. As a result, companies have an increase in competitiveness with a fast design framework. Furthermore, and to the best of the author’s knowledge, there is also no scientific publication formalizing and describing how to build the translators for industrial robot simulation and offline programming software packages, being this a pioneer publication in this area.

This paper aims to propose an automated framework for agile development and simulation of robotic palletizing cells. An automatic offline programming tool, for a variety of robot brands, is also introduced.

This framework, named AdaptPack Studio, offers a custom-built library to assemble virtual models of palletizing cells, quick connect these models by drag and drop, and perform offline programming of robots and factory equipment in short steps.

Simulation and real tests performed showed an improvement in the design, development and operation of robotic palletizing systems. The AdaptPack Studio software was tested and evaluated in a pure simulation case and in a real-world scenario. Results have shown to be concise and accurate, with minor model displacement inaccuracies because of differences between the virtual and real models.

An intuitive drag and drop layout modeling accelerates the design and setup of robotic palletizing cells and automatic offline generation of robot programs. Furthermore, A* based algorithms generate collision-free trajectories, discretized both in the robot joints space and in the Cartesian space. As a consequence, industrial solutions are available for production in record time, increasing the competitiveness of companies using this tool.

The AdaptPack Studio framework includes, on a single package, the possibility to program, simulate and generate the robot code for four different brands of robots. Furthermore, the application is tailored for palletizing applications and specifically includes the components (Building Blocks) of a particular company, which allows a very fast development of new solutions. Furthermore, with the inclusion of the Trajectory Planner, it is possible to automatically develop robot trajectories without collisions.

The motivation for robotics research in the agricultural field has sparked in consequence of the increasing world population and decreasing agricultural labor availability. This paper aims to analyze the state of the art of pruning and harvesting manipulators used in agriculture.

A research was performed on papers that corresponded to specific keywords. Ten papers were selected based on a set of attributes that made them adequate for review.

The pruning manipulators were used in two different scenarios: grapevines and apple trees. These manipulators showed that a light-controlled environment could reduce visual errors and that prismatic joints on the manipulator are advantageous to obtain a higher reach. The harvesting manipulators were used for three types of fruits: strawberries, tomatoes and apples. These manipulators revealed that different kinematic configurations are required for different kinds of end-effectors, as some of these tools only require movement in the horizontal axis and others are required to reach the target with a broad range of orientations.

This work serves to reduce the gap in the literature regarding agricultural manipulators and will support new developments of novel solutions related to agricultural robotic grasping and manipulation.

The paper aims to present a literary itinerary inspired in Julio Dinis’ novel An English Family (Uma Família Inglesa) through a comparative analysis of the places identified in the novel and the touristic attraction proposed by Visit Porto website. This novel is representative of the cultural identity and society of Porto city in the 19th century. Developing an itinerary based on this novel can facilitate the reading and understanding of the historical and cultural development of Porto.

This case study is based on the reading of the Julio Dinis’ novel An English Family (Uma Família Inglesa), whose storyline takes place in Porto city, Portugal in the 19th century. It used QGIS v. 3.12 software, a geographical information system to identify the places, to produce the maps and to create the itinerary.

The comparison between the places identified in the novel and the tourist attraction in Visit Porto website revealed that only 6 points in the novel are referenced on Visit Porto website. These points correspond to the ones in the historical city centre of Porto. However, the creation of an itinerary that brings together all the points mentioned by Julio Dinis in his novel, will allow the development of a new touristic itinerary, alternative to existing itineraries in the city and that can be seen as a distinguish offer that allows a different view of the urban space of Porto.

There are some limitations to this study that can be highlighted. First, it was difficult to find the correct location of some points identified in the novel, due to difficulty of finding historical maps with quality of the data. At the same time, as tourist information is dispersed by several sources, and most of those data is not georeferenced, it was time consuming the integration of all the information in the same geodatabase. The choice of the shortest path can also be considered as a limitation, rather than the route followed by the author in the novel, but geographic information systems operates on spatial and temporal scale, which can present a limitation in tourism analysis. In the case of this project, we have chosen the shortest path, assuming that tourist would prefer that.

This research allowed to address two areas of knowledge that are emerging in the study of urban centres as tourist areas: the use of GIS and literary tourism. Despite the fact that there are already articles on this subject, the originality focuses on the approach made around one of the greatest writers of Portugal in the 19th century, allowing to present a tourist itinerary about one of his literary works, and the comparison made between the places identified in the novel and the tourist points identified on the Visit Porto website.

The purpose of this paper is to emphasize that the choice of the most appropriate maintenance model and policies is the best way to reduce significantly the maintenance costs as well as to optimize the useful Key Performance Indicators – failure rates, reliability, mean time between failures, mean time to repair, and equipment availabilities.

In order to implement the Asset Effectiveness Optimization AEO as well as the Overall Equipment Effectiveness OEE, improving productivity in a complex food‐products plant, the paper presents a theoretical and experimental study related to the maintenance costs directly associated with the equipment used in production tasks.

The developed tool is an efficient method of calculating the maintenance costs and allows one by means of computational simulation to define the most advisable maintenance policy. On the other hand, the proposed relationships are universal and could be used as an economic evaluation indicator for other industries and equipment.

Further research should include the application of the proposed methodology to the similar equipment of other food‐products plants as well as to other different equipment in order to create benchmarking procedures. This generator of technical information is the most appropriate method of optimizing maintenance key performance indicators.

As is well known, equipment availability must be as close to 100 per cent as possible, in order to avoid non‐planned breakdowns with the consequent production losses. Then it is important to adopt the most advisable maintenance policies and practices, the proposed methodology being an efficient tool for evaluating the maintenance performance and, in addition, for optimizing procedures.

The proposed methodology represents an efficient way to evaluate the maintenance performance as well as to choose better maintenance policies and practices in order to reduce costs and increase maintenance key performance indicators.

This qualitative study, which is based on multiple cases, aims to analyze the pattern of acquisitions by Brazilian multinationals, such as Gerdau in the steel industry, Petrobrás in the oil and gas industry and Vale in the mining industry, to infer the likely knowledge motivations underlying the acquisitions of these firms.

The analyses of the three cases, with secondary data collected for the period from 2003 to 2007, classify the acquisitions according to the extent of the exploration or exploitation of resources and in two dimensions: business knowledge and location knowledge, in accordance with Ferreira’s (2005) model based on March (1991) and Chandler (1962).

The findings showed that the acquisitions by Gerdau, Petrobrás and Vale favored the exploitation of their resources and capabilities developed in the home market more than the exploration of new resources and capabilities. Regarding the ownership acquired, this study failed to observe the likely expected pattern of acquiring a majority stake for sustaining an exploitation strategy or a minority stake for sustaining an exploration strategy.

This study makes three contributions. First, the need to analyze the potential gains of new knowledge acquisition in domestic and cross-border expansion. Second, considering the opportunity to explore new resources and knowledge even for firms in commodity industries. Third, considering how the equity held is a structural solution that needs to be adjusted to the knowledge strategy.

The average woman educator spends more time in the classroom than their male counterpart before ascending to an administrator position. Women educators spends on average 10–11 years as a teacher and as an administrator before becoming promoted to the superintendent position (Kingsberry & Jean-Marie, 2018; Manuel & Slate, 2003; Robinson, Shakeshaft, Grogan, & Newcomb, 2017). However, when they do reach this position, women superintendents lead in a different manner than men. They tend to focus on the well-being of children and families. They bring a strong interest in educating the child as a whole and place those at high risk a priority (Grogan, 2005). Women are finding way(s) to bring women's way(s) of knowing and expertise into this position. Women tend to keep instruction at the forefront and develop relationships with school and wider community members that can help foster the academic and social growth of the student (Grogan, 2005; Robinson et al., 2017; Wilmore, 2008).

Therefore, feminist@ leaders surface from their feminist and cultural knowledge (Sanchez & Ek, 2013) as a form of traditional resistance. They create pathways for other Latinas on their journey to claim Chicana feminism. As such, this chapter highlights the voices of four valiant women of color leaders on the path toward the superintendency whose personal and professional pathways intersect to create a feminist@ leadership identity.

The changes brought by Industry 4.0 go beyond transformations in the industrial environment. The increasingly frequent digitization and robotization of activities is not only restricted to the industrial environment, but also to people's daily routine. People spend a large part of their time inside buildings, and maintaining adequate Indoor Environmental Quality (IEQ) is an essential factor for a healthy and productive environment. In this sense, the purpose of this study is to verify how the Internet of Things (IoT) is being used to improve the indoor environment, through sensors that instantly measure the conditions of the environment.

The aim of this paper is to verify, through a literature review, how IoT is being used for building control (for energy saving purposes) and to monitor IEQ conditions inside buildings, in order to provide a better environment for occupants, in terms of health and comfort. By combining keywords in databases, PRISMA method was used to select the articles for analysis, and 91 articles were analyzed.

The main findings in this research are: (1) the main purpose for applying IoT inside buildings is to reduce energy consumption; (2) there is an interest in developing low-cost sensoring devices with a learning approach; (3) Machine Learning methods are mainly used for energy saving purposes and to learn about occupants' behavior inside buildings, focusing on thermal comfort; (4) sensors in the IoT era are a requirement to help improve people's comfort and well-being.

Studies directly correlating IoT and IEQ are limited. This paper emphasises the link between them, through the presentation of recent methods to control the built environment.

The breaking strength compromises fabric wearing out during wear of garments and is a determining parameter in their useful life. Thus, it is intended to compare the efficacy of each method concerning the understanding of results, which is, the explanation of the phenomenon, namely through statistical models which characterize abrasion strength, measured by each method, as a function of fabric assurance by simple testing (FAST) parameters.

The simulation of abrasion mechanism was done on Martindale wear and abrasion tester, following two ways: the weight loss and two yarns breakage methods. The average weight loss of a fabric was determined among four specimens (in mg/5,000 cy). Fabric abrasion was done against a standard wool fabric under a 12 KPa pressure. In the two yarns breakage method, the number of abrasion cycles required to break two yarns is determined according to Woolmark Company TM 112 test standard.

In general, no better models to explain abrasion strength by the breakage of two yarns method are achieved when FAST variables are considered respecting those based on classical ones. However, for woollen fabrics, there is an interesting model, which gathers classical and FAST variables with higher explanation: shear rigidity and polyamide composition. This allows one to conclude that this FAST parameter performs an important role in the abrasion behaviour of fabrics.

As the abrasion consequences cause fabric degradation, a better understanding is obtained of the different abrasion stage mechanisms, which explain both evaluation methods: breakage of two yarns and weight loss. It is intended to gather conditions for a future definition of a single and comprehensive evaluation methodology of abrasion.