Figure 8 - uploaded by J. Norberto Pires
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CAD model of the robotic cell (at left) and the real cell (at right). Arrows indicate the WorkPoints
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Faced with global competition, small and medium-sized enterprises (SMEs) are changing and reinventing their production systems. Traditional manufacturing systems (often based on fixed automation) are being replaced by flexible and adjustable manufacturing systems, enabling SMEs to continue to be competitive in the global market. This competitivenes...
Context in source publication
Context 1
... calibration process is also necessary. In order to control the robot the user only needs to select the desired position (WorkPoint) in the CAD model and a tool model with the desired orientation, and then, pressing a button the robot is moved to that pose (Figure 8). The response time of the system (from the press of the button to when the robot started to move) is about 1 second and 426 milliseconds. ...
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Citations
... Sin embargo estos no son dispositivos intuitivos y requieren que el usuario tenga una gran cantidad de experiencia para su uso, además de que son grandes y pesados. En losúltimos años algunas empresas han hecho el esfuerzo de diseñar y mejorarlos, de forma que su interfaz y manejo sea más simple y amigable para el usuario, pero aún asi sigue siendo difícil que un operario, sin entrenamiento opere un manipulador robótico con este sistema (93). ...
Nowadays there are several devices to control and maneuver a robotic arm in specialized sectors such as investigation, development, health and industry. They have been improving through the constant evolution of the technology helping an operator to interact with a machine in diverse functionalities provided by the system. Therefore, the present work uses mobile devices technology as a master system to control a KUKA KR6 robotic arm by implementing an Android based mobile application.
The interest of the medical industry in the development and usage of new technological tools that help executing complex tasks like surgical procedures, the rehabilitation of patients and the management of biological hazardous materials, has impulsed the development of new projects and ideas like the one shown in the present work. The development used various features that smartphones and tablets offer such as the on-board motion and touch sensors, communication standards, the easy learning and the low cost to create a simple and efficient alternative against more complex and expensive control systems.
... Robots are recognized as complex machines that are not easy to program. Programming an industrial robot is usually known as a tedious and time-consuming task that requires a remarkable amount of technical expertise [6, 7, 8]. The human–robot interaction is problematic because robot systems usually lack simple user interfaces. ...
... Therefore, new approaches to robot programming are needed. Pires [3, 6], Neto, Pires, and Moreira [7, 8], Schraft and Meyer [12], Naumann, Wegener, Schraft, and Lachello [13], and Solvang, Sziebig, and Korondi [14] presented examples of how human–robot interaction can be developed to be more suitable for SMEs by means that include inter-cognitive communication elements. Recently, hand gesture recognition has emerged as a promising method by which natural and artificial cognitive systems might work together efficiently. ...
The capability to use advanced tools, devices, and software is essential for enterprises to survive in global competition. Inter-cognitive communication is an important element in the development of engineering applications where natural and artificial cognitive systems should work together efficiently. Small and medium-sized enterprises (SMEs) are becoming increasingly important in society, as our economies depend heavily on SMEs, which represent the majority of jobs created. Global competition has forced these SMEs to change and develop their production systems radically, to be more flexible. Industrial robots are seen as a key element in flexible manufacturing systems. However, currently, industrial robots are not commonly used in SMEs; one reason is the complex handling, especially the time-consuming programming. Industrial robot systems usually lack simple user interfaces, and the programming is usually carried out by the typical teach pendant teaching method. This method is a tedious and time-consuming task that requires a remarkable amount of expertise. In industry, this type of robot programming can be justified economically only for the production of large lot sizes, which are not typical for SMEs. Therefore, new approaches to human-robot interaction are required. Cognitive infocommunication can play a key role in these applications. Accordingly, our main goal in this paper is to present experiences in developing easier human-robot interaction to help even inexperienced operators use robots in SMEs. These examples show a variety of ways that inter-cognitive communication between human and artificial cognitive systems can be utilized in robotics. We also present our system and software architecture used in the development of generic industrial robot programming for easy-to-use applications, as well as some examples of our service robot development. Service robotics offers numerous possibilities to utilize cognitive infocommunication, but development of reli- ble and flexible solutions is challenging, due to dynamic environments, and because inexperienced users often understand very little about the robots and their internal states.
In this article a brief review of the modern industrial robot programming methods is given. It is noted that there are a lot of research conducted to improve robot programming process, make it shorter, easier, cost-effective and user friendly. These goals can be achieved by implementing of new advanced achievements of the IT sphere into industrial robotics. Industrial robot programing by demonstration alongside with the use of virtual and augmented reality is one of the most promising technologies that can significantly reduce the integration costs and time for industrial robot integration into a production process.
