scholarly journals The Integration of Collaborative Robot Systems and Their Environmental Impacts

Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 494 ◽  
Author(s):  
Lucian Stefanita Grigore ◽  
Iustin Priescu ◽  
Daniela Joita ◽  
Ionica Oncioiu

Today, industrial robots are used in dangerous environments in all sectors, including the sustainable energy sector. Sensors and processors collect and transmit information and data from users as a result of the application of robot control systems and sensory feedback. This paper proposes that the estimation of a collaborative robot system’s performance can be achieved by evaluating the mobility of robots. Scenarios have been determined in which an autonomous system has been used for intervention in crisis situations due to fire. The experimental model consists of three autonomous vehicles, two of which are ground vehicles and the other is an aerial vehicle. The conclusion of the research described in this paper highlights the fact that the integration of robotic systems made up of autonomous vehicles working in unstructured environments is difficult and at present there is no unitary analytical model.

2017 ◽  
Vol 107 (09) ◽  
pp. 594-599
Author(s):  
A. Magaña ◽  
G. Prof. Reinhart

Industrieroboter sind zu einer Schlüsseltechnologie in der Produktion geworden. Mit dem steigenden Einsatz von diversen Robotersystemen wächst das Bedürfnis, deren Kompatibilität zu steigern. Heutzutage gibt es keine Technologie in der Industrie, die eine standardisierte Programmierung und Steuerung von verschiedenen Robotersystemen gewährleisten kann. Dieser Fachbeitrag präsentiert ein einheitliches Konzept, welches die Anwendung von herstellerneutralen Roboterapplikationen ermöglicht.   Industrial robots have become a key technology in production. The increasing use of various robotic systems, raises the need to enhance their compatibilit.y Nowadays, there is no technology in the industry to guarantee a standardized programming and control of different robot systems. This article presents a concept enabling the use of manufacturer-independent robot applications.


Author(s):  
A. M. Romanov

A review of robotic systems is presented. The paper analyzes applied hardware and software solutions and summarizes the most common block diagrams of control systems. The analysis of approaches to control systems scaling, the use of intelligent control, achieving fault tolerance, reducing the weight and size of control system elements belonging to various classes of robotic systems is carried out. The goal of the review is finding common approaches used in various areas of robotics to build on their basis a uniform methodology for designing scalable intelligent control systems for robots with a given level of fault tolerance on a unified component base. This part is dedicated to industrial robotics. The following conclusions are made: scaling in industrial robotics is achieved through the use of the modular control systems and unification of main components; multiple industrial robot interaction is organized using centralized global planning or the use of previously simulated control programs, eliminating possible collisions in working area; intellectual technologies in industrial robotics are used primarily at the strategic level of the control system which is usually non-real time, and in some cases even implemented as a remote cloud service; from the point of view of ensuring fault tolerance, the industrial robots developers are primarily focused on the early prediction of faults and the planned decommissioning of the robots, and are not on highly-avaliability in case of failures; industrial robotics does not impose serious requirements on the dimensions and weight of the control devices.


Author(s):  
J.F. Young ◽  
J.J. Walker

The programmable sequence‐control systems used for most of the industrial robots available at the present time are basically simple and straight‐forward. While these are very desirable attributes for any system which has to achieve reliability in the performance of a repetitive task on the shop floor, there can be attendant disadvantages. Although most of the current systems are flexible enough to allow for fairly easy re‐programming by a human operator, this flexibility does not in general extend to the inclusion of any facilities for control adaptation to slight and possibly quite random changes in either the operational requirements or in the operational environment. The features of flexibility and adaptability, so obvious and so useful in the human operator, are notably absent from robot control systems.


Author(s):  
Manuel Graña ◽  
Borja Fernandez-Gauna ◽  
Jose Manuel Lopez-Guede

AbstractReinforcement Learning (RL) as a paradigm aims to develop algorithms that allow to train an agent to optimally achieve a goal with minimal feedback information about the desired behavior, which is not precisely specified. Scalar rewards are returned to the agent as response to its actions endorsing or opposing them. RL algorithms have been successfully applied to robot control design. The extension of the RL paradigm to cope with the design of control systems for Multi-Component Robotic Systems (MCRS) poses new challenges, mainly related to coping with scaling up of complexity due to the exponential state space growth, coordination issues, and the propagation of rewards among agents. In this paper, we identify the main issues which offer opportunities to develop innovative solutions towards fully-scalable cooperative multi-agent systems.


Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1429
Author(s):  
Olaf Ciszak ◽  
Jakub Juszkiewicz ◽  
Marcin Suszyński

The purpose of the article was to build a low-cost system for identifying shapes in order to program industrial robots (on the base of the six-axis “ABB IRB 140” robot) for a welding process in 2D. The whole system consisted of several elements developed in individual stages. The first step was to identify the existing robot control systems, which analysed images from an attached low-cost digital camera. Then, a computer program, which handles communication with the digital camera capturing and processing, was written. In addition, the program’s task was to detect geometric shapes (contours) drawn by humans and to approximate them. This study also presents research on a binarization and contour recognition method for this application. Based on this, the robot is able to weld the same contours on a 2D plane.


2019 ◽  
Vol 29 (3) ◽  
pp. 8-14
Author(s):  
N. A. Bocharov

In operation of ground-based robotic systems for military purposes, due to target actions of an opposing party, numerous failures might occur that lead to a suddenly changed state of the system and, therefore, fall into the category of catastrophic failures. In this case, we face the question of providing the disaster tolerance as an ability of a group of robots to continue operations with partially lost efficiency. A significant but still unresolved issue regarding ground-based robot systems is their equipment with computing equipment developed on domestic microprocessors and software. The paper includes offered techniques and algorithms that serve as a basis for building of disaster-tolerant control systems of ground-based robot systems based on domestic computer systems and software. Authors have developed the algorithms to ensure tolerance of on-board control systems against catastrophic failures. Authors have received numerical results that show the increased operation time of groups of robots in case of catastrophic failures. The findings improve import substitution options in the field of robotics.


Agronomy ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 403 ◽  
Author(s):  
Naoum Tsolakis ◽  
Dimitrios Bechtsis ◽  
Dionysis Bochtis

This research aims to develop a farm management emulation tool that enables agrifood producers to effectively introduce advanced digital technologies, like intelligent and autonomous unmanned ground vehicles (UGVs), in real-world field operations. To that end, we first provide a critical taxonomy of studies investigating agricultural robotic systems with regard to: (i) the analysis approach, i.e., simulation, emulation, real-world implementation; (ii) farming operations; and (iii) the farming type. Our analysis demonstrates that simulation and emulation modelling have been extensively applied to study advanced agricultural machinery while the majority of the extant research efforts focuses on harvesting/picking/mowing and fertilizing/spraying activities; most studies consider a generic agricultural layout. Thereafter, we developed AgROS, an emulation tool based on the Robot Operating System, which could be used for assessing the efficiency of real-world robot systems in customized fields. The AgROS allows farmers to select their actual field from a map layout, import the landscape of the field, add characteristics of the actual agricultural layout (e.g., trees, static objects), select an agricultural robot from a predefined list of commercial systems, import the selected UGV into the emulation environment, and test the robot’s performance in a quasi-real-world environment. AgROS supports farmers in the ex-ante analysis and performance evaluation of robotized precision farming operations while lays the foundations for realizing “digital twins” in agriculture.


2020 ◽  
Vol 32 (2) ◽  
pp. 459-468 ◽  
Author(s):  
Tomohiro Umetani ◽  
Satoshi Aoki ◽  
Tatsuya Kitamura ◽  
Akiyo Nadamoto ◽  
◽  
...  

This paper describes system developments for integrating control systems of Manzai robot duos that automatically generate Manzai scripts from Internet articles based on given keywords, as well as improvements in the scalability of the integrated control system. Component-based Manzai robots controlled by RT-Middleware have been developed. However, conventional Manzai robot systems, the control systems of which are individually developed, experience some difficulties in interface integration and system maintenance as well as in scalability. In this study, we built a Manzai robot system excellent in reusability, maintainability and scalability by separating the common part from the hardware-dependent part by using the RT components of RT-Middleware. We also verify the reusability and scalability of the hardware-constrained component groups by implementing the Manzai robot control system into ready-made robots with different types of mechanism. We proved the effectiveness of the developed Manzai robot control system on its implementation results.


Author(s):  
V.G. Farhadov ◽  
◽  
A.A. Babaeva ◽  
A.T. Mamedova ◽  
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