Engineering methods and tools for cyber–physical automation systems

Much has been published about potential benefits of the adoption of cyber–physical systems (CPSs) in manufacturing industry. However, less has been said about how such automation systems might be effectively configured and supported through their lifecycles and how application modeling, visualization, and reuse of such systems might be best achieved. It is vitally important to be able to incorporate support for engineering best practice while at the same time exploiting the potential that CPS has to offer in an automation systems setting. This paper considers the industrial context for the engineering of CPS. It reviews engineering approaches that have been proposed or adopted to date including Industry 4.0 and provides examples of engineering methods and tools that are currently available. The paper then focuses on the CPS engineering toolset being developed by the Automation Systems Group (ASG) in the Warwick Manufacturing Group (WMG), University of Warwick, Coventry, U.K. and explains via an industrial case study how such a component-based engineering toolset can support an integrated approach to the virtual and physical engineering of automation systems through their lifecycle via a method that enables multiple vendors' equipment to be effectively integrated and provides support for the specification, validation, and use of such systems across the supply chain, e.g., between end users and system integrators

A framework for flexible integration in robotics and its applications for calibration and error compensation

Robotics has been considered as a viable automation solution for the aerospace industry to address manufacturing cost. Many of the existing robot systems augmented with guidance from a large volume metrology system have proved to meet the high dimensional accuracy requirements in aero-structure assembly. However, they have been mainly deployed as costly and dedicated systems, which might not be ideal for aerospace manufacturing having low production rate and long cycle time. The work described in this thesis is to provide technical solutions to improve the flexibility and cost-efficiency of such metrology-integrated robot systems. To address the flexibility, a software framework that supports reconfigurable system integration is developed. The framework provides a design methodology to compose distributed software components which can be integrated dynamically at runtime. This provides the potential for the automation devices (robots, metrology, actuators etc.) controlled by these software components to be assembled on demand for various assembly applications. To reduce the cost of deployment, this thesis proposes a two-stage error compensation scheme for industrial robots that requires only intermittent metrology input, thus allowing for one expensive metrology system to be used by a number of robots. Robot calibration is employed in the first stage to reduce the majority of robot inaccuracy then the metrology will correct the residual errors. In this work, a new calibration model for serial robots having a parallelogram linkage is developed that takes into account both geometric errors and joint deflections induced by link masses and weight of the end-effectors. Experiments are conducted to evaluate the two pieces of work presented above. The proposed framework is adopted to create a distributed control system that implements calibration and error compensation for a large industrial robot having a parallelogram linkage. The control system is formed by hot-plugging the control applications of the robot and metrology used together. Experimental results show that the developed error model was able to improve the 3 positional accuracy of the loaded robot from several millimetres to less than one millimetre and reduce half of the time previously required to correct the errors by using only the metrology. The experiments also demonstrate the capability of sharing one metrology system to more than one robot

A Helping Hand for Europe: The Competitive Outlook for the EU Robotics Industry

This report is one of a series resulting from a project entitled ¿Competitiveness by Leveraging Emerging Technologies Economically¿ (COMPLETE), carried out by JRC-IPTS. Each of the COMPLETE studies illustrates in its own right that European companies are active on many fronts of emerging and disruptive ICT technologies and are supplying the market with relevant products and services. Nevertheless, the studies also show that the creation and growth of high tech companies is still very complex and difficult in Europe, and too many economic opportunities seem to escape European initiatives and ownership. COMPLETE helps to illustrate some of the difficulties experienced in different segments of the ICT industry and by growing potential global players. Hopefully, COMPLETE will contribute to a better understanding of the opportunities and help shape better market conditions (financial, labour and product markets) to sustain European competitiveness and economic growth. This report deals with robotics applications in general, and in two specific areas selected because of potential market and EU capability in these areas: robotics applications in SMEs, and robotics safety. It starts by introducing the state of the art in robotics, their applications, market size, value chains and disruptive potential of emerging robotics technologies. For each of the two specific areas, the report describes the EU landscape, potential market, benefits, difficulties, and how these might be overcome. The last chapter draws together the findings of the study, to consider EU competitiveness in robotics, opportunities and policy implications. The work is based on desk research and targeted interviews with industry experts in Europe and beyond. The results were reviewed by experts and in a dedicated workshop.JRC.DDG.J.4-Information Societ

Multiple Robot Simulation in a Virtual Reality Environment

Nowadays, robotics is becoming increasingly important in people's daily lives. However, the process of learning and training in robotics is not always easy. In fact, in most cases, proper training is linked to direct interaction with these devices. This is usually not possible for the vast majority of people, as they may not have access to a robot. Nevertheless, thanks to the emergence of different technologies such as Virtual Reality (VR) it is possible to do things that were considered unimaginable before. Therefore, this project aims to make the most of both technologies, creating an alternative way of interacting with robots to understand how they behave, thus flattening the robotics learning curve. To this end, a software that allows the simulation and control of various robots in VR has been developed

Aerospace Medicine and Biology: A continuing bibliography with indexes (supplement 261)

This bibliography lists 281 reports, articles and other documents introduced into the NASA scientific and technical information system in July 1984

Commissioning Perspectives for the ATLAS Pixel Detector

The ATLAS Pixel Detector, the innermost sub-detector of the ATLAS experiment at the Large Hadron Collider, CERN, is an 80 million channel silicon pixel tracking detector designed for high-precision charged particle tracking and secondary vertex reconstruction. It was installed in the ATLAS experiment and commissioning for the first proton-proton collision data taking in 2008 has begun. Due to the complex layout and limited accessibility, quality assurance measurements were continuously performed during production and assembly to ensure that no problematic components are integrated. The assembly of the detector at CERN and related quality assurance measurement results, including comparison to previous production measurements, will be presented. In order to verify that the integrated detector, its data acquisition readout chain, the ancillary services and cooling system as well as the detector control and data acquisition software perform together as expected approximately 8% of the detector system was progressively assembled as close to the final layout as possible. The so-called System Test laboratory setup was operated for several months under experiment-like environment conditions. The interplay between different detector components was studied with a focus on the performance and tunability of the optical data transmission system. Operation and optical tuning procedures were developed and qualified for the upcoming commission ing. The front-end electronics preamplifier threshold tuning and noise performance were studied and noise occupancy of the detector with low sensor bias voltages was investigated. Data taking with cosmic muons was performed to test the data acquisition and trigger system as well as the offline reconstruction and analysis software. The data quality was verified with an extended version of the pixel online monitoring package which was implemented for the ATLAS Combined Testbeam. The detector raw data of the Combined Testbeam and of the System Test cosmic run was converted for offline data analysis with the Pixel bytestream converter which was continuously extended and adapted according to the offline analysis software needs

Robotix-Academy Conference for Industrial Robotics (RACIR) 2018

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Possible Self Dynamics of Community College Students Engaged in 3D Printing in Informal Environments

The overall number of students from diverse backgrounds and women that graduate from community college with degrees in high paying Science Technology Engineering and Mathematics (STEM) disciplines is unacceptably low. The number of opportunities to gain exposure to STEM-based expressions of technology to overcome the dearth of exposure in high school is limited in community college. 3D Printing uses computer-controlled machines to build physical objects one layer at a time starting from the bottom up. The computer-controlled nature of 3D Printing provides a low risk, low cost platform to exercise elements of computer programming and engineering. This study was a phenomenological, qualitative study that was designed to fully describe the process of community college student engagement with 3D Printing. There were three data collection components in the study; first was an initial interview combined with naturalistic observation. Second was recorded documentation in the form of 3D printed objects that students produced. Third was a culminating interview of the participants after they had engaged in a critical number of 3D Printing activities. The results of the study were overwhelming. Students who aspired to be engineers used the lab to sharpen their skills in a low-stakes, high reward setting. Students who worked in the lab expressed greater confidence in their STEM skills. Students considered changing their majors to STEM academic courses of study from social science. Female students overcame a lifetime of counter-messages about women in STEM. Finally, a mountain biking component was designed, manufactured, and field tested by an aspiring engineer who had yet to take a single course in the college engineering curriculum. Based on the findings, it is recommended that 3D Printing be applied more broadly in student supported, peer educated lab settings. STEM majors, in particular engineering and computer science students see a great value in using the machines. Long term study of the retention and graduation rates of students who engage in 3D Printing will be useful for colleges and universities who seek to increase the number of graduating STEM majors at their institutions