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1 11 9 ; S Veiga, G., Pires, J. N., & Nilsson, K. (2007). ON THE USE OF SERVICE ORIENTED SOFTWARE PLATFORMS FOR INDUSTRIAL ROBOTIC CELLS. IFAC Proceedings Volumes, 40(3), 109-115. doi:10.3182/20070523-3-es-4908.00019 ; The integration of equipment and other devices built into industrial robot cells with modern Ethernet interface technologies and low‐cost mass produced devices (such as vision systems, laser scanners, force torque‐sensors, PLCs and PDAs etc.) enables integrators to offer more powerful and smarter solutions. Nevertheless, the programming of all these devices efficiently requires very specific knowledge about them, such as their hardware architectures and specific programming languages as well as details about the system¿s low level communication protocols. To address these issues, this paper describes and analyses the Plug‐and‐Play architecture. This is one of the most interesting service‐oriented architectures (SOAs) available, which exhibits characteristics that are well adapted to industrial robotics cells. To validate their programming features and applicability, a test bed was specially designed. This provides a new graphical service orchestration which was implemented using Workflow Foundation 4 of .NET. The obtained results allowed us to verify that the use of integration schemes based on SOAs reduces the system integration time and is better adapted to industrial robotic cell system integrators. The authors wish to express their gratitude to the Plan Nacional de I+D (FEDER-CICYT, Spanish Government) and to the Universitat Politecnica de Valencia (Spain) for the financing of this work, which was made under the research projects DPI2010-20814-C02-02, DPI2011-28507-C02-01 and PAID/2011/039. In addition, they also want to acknowledge the assistance of Elena Ruiz Gomez for her help in the translation of the article. Valera Fernández, Á.; Gómez Moreno, J.; Sánchez Salmerón, AJ.; Ricolfe Viala, C.; Zotovic Stanisic, R.; Vallés Miquel, M. (2012). Industrial Robot Programming and UPnP Services ...

The integration of equipment and other devices built into industrial robot cells with modern Ethernet interface technologies and low‐cost mass produced devices (such as vision systems, laser scanners, force torque‐sensors, PLCs and PDAs etc.) enables integrators to offer more powerful and smarter solutions. Nevertheless, the programming of all these devices efficiently requires very specific knowledge about them, such as their hardware architectures and specific programming languages as well as details about the system¿s low level communication protocols. To address these issues, this paper describes and analyses the Plug‐and‐Play architecture. This is one of the most interesting service‐oriented architectures (SOAs) available, which exhibits characteristics that are well adapted to industrial robotics cells. To validate their programming features and applicability, a test bed was specially designed. This provides a new graphical service orchestration which was implemented using Workflow Foundation 4 of .NET. The obtained results allowed us to verify that the use of integration schemes based on SOAs reduces the system integration time and is better adapted to industrial robotic cell system integrators. ; The authors wish to express their gratitude to the Plan Nacional de I+D (FEDER-CICYT, Spanish Government) and to the Universitat Politecnica de Valencia (Spain) for the financing of this work, which was made under the research projects DPI2010-20814-C02-02, DPI2011-28507-C02-01 and PAID/2011/039. In addition, they also want to acknowledge the assistance of Elena Ruiz Gomez for her help in the translation of the article. ; Valera Fernández, Á.; Gómez Moreno, J.; Sánchez Salmerón, AJ.; Ricolfe Viala, C.; Zotovic Stanisic, R.; Vallés Miquel, M. (2012). Industrial Robot Programming and UPnP Services Orchestration for the Automation of Factories. International Journal of Advanced Robotic Systems. 9:1-11. doi:10.5772/51373 ; S ; 1 ; 11 ; 9 ; Ahn, S., Lee, J., Lim, K., Ko, H., Kwon, Y., & Kim, H. (2006). UPnP SDK ...

[EN] Autonomous navigation is a complex problem that involves different tasks, such as location of the mobile robot in the scenario, robotic mapping, generating the trajectory, navigating from the initial point to the target point, detecting objects it may encounter in its path, etc. This paper presents a new optimal trajectory planning algorithm that allows the assessment of the energy efficiency of autonomous light vehicles. To the best of our knowledge, this is the first time in the literature that this is carried out by minimizing the travel time while considering the vehicle's dynamic behavior, its limitations, and with the capability of avoiding obstacles and constraining energy consumption. This enables the automotive industry to design environmentally sustainable strategies towards compliance with governmental greenhouse gas (GHG) emission regulations and for climate change mitigation and adaptation policies. The reduction in energy consumption also allows companies to stay competitive in the marketplace. The vehicle navigation control is efficiently implemented through a middleware of component-based software development (CBSD) based on a Robot Operating System (ROS) package. It boosts the reuse of software components and the development of systems from other existing systems. Therefore, it allows the avoidance of complex control software architectures to integrate the different hardware and software components. The global maps are created by scanning the environment with FARO 3D and 2D SICK laser sensors. The proposed algorithm presents a low computational cost and has been implemented as a new module of distributed architecture. It has been integrated into the ROS package to achieve real time autonomous navigation of the vehicle. The methodology has been successfully validated in real indoor experiments using a light vehicle under different scenarios entailing several obstacle locations and dynamic parameters. ; This work has been partially funded by FEDER-CICYT project with reference DPI2017-84201-R ...