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EN
Standardized and universal solutions for industrial robot integration are increasingly urgent requirements for companies looking for machine interconnectivity, and flexibility in creating tailor made manufacturing systems. These solutions must be supported by modular and open-source components able to easily integrate new control methods and advanced Extended Reality (XR) interfaces. Robot Operating System (ROS) has proven to be a reliable standard for industrial robot integration. ROS compatibility software is provided by many producers and allows for the implementation of modular control units by unifying development practices along the same libraries and methods. Digital Twins (DT) of industrial equipment and processes offer a solid base to develop innovative digital tools relying on synchronization between physical and digital entities and to easily setup intuitive XR interfaces for teleoperation and programming. This work presents the integration of the OMRON TM5-9000 collaborative industrial robot into the IVAR laboratory DT system at Tallinn University of Technology. By using Unity3D game engine and developing a ROS package for the specific machine, the digital model of the collaborative robot is integrated into the existing twin. Synchronization with the real counterpart is provided by MQTT protocol while a robot user interface is developed in Unity and provides robot joints visualization and remote control.
EN
Providing a robotic-assisted service in scenarios involving multiple Unmanned Vehicles (UVs) in possible beyond-visual-Line-Of-Sight (LoS) operations, safety and security are critical concerns. We develop a web-oriented, human-in-the-loop infrastructure to explore how the service provider can secure their system, enforce instant access control over dynamic operator-robot connections, and ensure the integrity, availability, and traceability of communicated data. Our proposed minimal viable solution requires an authentication server to verify user identity, a back server with a database to handle user requests and state-transition events, and a RabbitMQ (RMQ) server to trace the origin of data.
EN
Presently the interaction of robots with human plays an important role in various social applications. Reliable tracking is an important aspect for the social robots where robots need to follow the moving person. This paper proposes the implementation of automated tracking and real time following algorithm for robotic automation. Occlusion and identity retention are the major challenges in the tracking process. Hence, a feature set based identity retention algorithm is used and integrated with robot operating system. The tracking algorithm is implemented using robot operating system in Linux and using OpenCV. The tracking algorithm achieved 85% accuracy and 72.30% precision. Further analysis of tracking algorithm corresponds to the integration of ROS and OpenCV is presented. The analysis of tracking algorithm concludes that ROS linking required 0.64% more time in comparison with simple OpenCV code based tracking algorithm.
EN
Robot Operating System (ROS) is an open source robot software framework which provides several libraries and tools to easily conduct different robot applications like autonomous navigation and robot teleoperation. Most of the available packages across the ROS community are addressed for controlling a single robot. In this paper, we aim to extend some packages so, they can be used in multi-robot applications on ROS. Mainly, the multi-robot autonomous navigation and multi-robot smart phone teleoperation are addressed in this work. After being extended and compiled, the new packages are assessed in some simulations and experiments with real robots.
PL
Otwarty system operacyjny ROS (Robot Operating System) udostępnia wiele bibliotek i narzędzi wspierających tworzenie aplikacji dla robotów (np.: autonomiczna nawigacja i telemetria). Przy czym większość opracowanych pakietów ROS umożliwia jedynie kontrolowanie pojedynczego robota. W artykule przedstawiono możliwości rozszerzenia wybranych pakietów, tak aby mogły być używane w aplikacjach wielorobotowych. Poruszono temat wielozadaniowej autonomicznej nawigacji i wielozadaniowej inteligentnej teleoperacji. W ramach prowadzonych prac rozszerzono możliwości pakietów, a ich funkcjonalność przedstawiono na przykładzie wybranych symulacji oraz testów przeprowadzonych z użyciem rzeczywistych robotów.
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