ELSA in industrial robotics

Purpose of ReviewIndustry is changing; converging technologies allow a fourth Industrial Revolution, where it is envisaged that robots will work alongside humans. We investigate how the research community is responding to the ethical, legal, and social aspects of industrial robots, with a primary focus on manufacturing industry.Recent FindingsThe literature shows considerable interest in the impact of robotics and automation on industry. This interest spans many disciplines, which is to be expected given that the ELS impacts of industrial robotics may be profound in their depth and far-reaching in their scope.SummaryWe suggest that the increasing importance of human-robot interaction (HRI) reduces the differentiation between industrial robotics and other robotic domains and that the main challenges to successful adoption for the benefit of human life are above all political and economic. Emerging standards and legal frameworks may scaffold this success, but it is apparent that getting it wrong might have repercussions that last for generations

Industrial Robotics

This book covers a wide range of topics relating to advanced industrial robotics, sensors and automation technologies. Although being highly technical and complex in nature, the papers presented in this book represent some of the latest cutting edge technologies and advancements in industrial robotics technology. This book covers topics such as networking, properties of manipulators, forward and inverse robot arm kinematics, motion path-planning, machine vision and many other practical topics too numerous to list here. The authors and editor of this book wish to inspire people, especially young ones, to get involved with robotic and mechatronic engineering technology and to develop new and exciting practical applications, perhaps using the ideas and concepts presented herein

Industrial Robotics In The Lean Enterprise : A Case Study In Semi-Conductor Company

Industrial robotics replaced human workers in almost all field due to their abilities in multitasking, flexibility and configurability in any position they are involved in. However, implementing industrial robotics is challenging due to their high cost, expert handling and complexity. The case study determined the industrial robotics as a desirable tool in lean enterprise and through studying these areas availability, ease of use, standardization and visualization it shows the current mapping of the industrial robotics. Performance measurement of the industrial robotics is determined using the QCDAC method or (quality, cost, delivery, accountability and continual improvement). In terms of performance identification and ranking interpretive structural modelling (ISM) methodology is used to identify the most affected variable of the model. Cross tabulation showed the intersection result between the usage of industrial robotics and their performance to clarify the industrial robotics performance in these areas in which the industrial robotics was fit with and compatible with lean enterprise. The results showed that introducing the industrial robotics into lean enterprise will support it in terms of quality improvement, cost reduction and efficiency which lead the company to become a world class manufacturer

Performance Measure Of Industrial Robotics In Lean Enterprise: A Case Study In Semiconductor Industry

Industrial robotics replaced human workers in almost all fields due to their abilities to multitask, flexibility and configurability in any position they involved in. However, implementing industrial robotics is challenging due to their high cost, expert handling, and complexity. The object of this study is to determine the performance measurement using the QCDAC method or (quality, cost, delivery, accountability and continual improvement) then categorized according to lean principles and then identifying seven main areas that the industrial robotics contributes in the semi-conductor company. The performance identification and ranking is done by using Interpretive Structural Modelling (ISM) methodology to identify the most affected performance of the model and to clarify the industrial robotics performance in these areas in which the industrial robotics fit and compatible with the lean enterprise. Human- robot interaction considered to guarantee the workers' safety working alongside industrial robotics. The result of the ISM method shows the performance measure that affects the industrial robotics to support lean enterprise in terms of quality improvement, cost reduction and efficiency

Digital Twin for Industrial Robotics

This thesis aims to develop a Digital Twin model for robot programming that incorporates Virtual Reality (VR). The digital twin is a concept of creating a digital replica of a physical object (such as a robot), which is similar to establishing a model simulation along with some additional functionalities. Simulation software, such as robot operating system (ROS) or other industrial-owned simulation platforms, simulates a robot operation and sends the details to the robot controller. In contrast to this, the Digital Twin model establishes a two-way communication channel between the digital and the physical models. In this thesis, the proposed Digital Twin model can help in online/remote programming of a robotic cell with high accuracy by creating a 3D digital environment of a real-world physical setup, which is similar to watching a movie with 3D glasses. To create a Digital Twin model, the gaming platform is used that comes with specialized plugins for virtual and augmented reality devices. One of the main challenges in any robotic system is writing a code for a defined path and modifying it for future requirements. Programming robot via this traditional approach requires a lot of time and often disturbs the running process. Whereas, in the case of a Digital Twin model, the program can be adjusted or regenerated without disturbing the execution cycle of a physical robot

CPS Platform Approach to Industrial Robots: State of the Practice, Potentials, Future Research Directions

Approaches, such as Cloud Robotics, Robot-as-a-Service, merged Internet of Things and robotics, and Cyber-Physical Systems (CPS) in production, show that the industrial robotics domain experiences a paradigm shift that increasingly links robots in real-life factories with virtual reality. However, despite the growing body of research to date, though insightful, the paradigm shift to CPS in industrial robotics remains an under-researched area. Findings from the present paper make several contributions to the current state of research: We provide a potentially reusable framework of analysis and apply this framework in order to reveal whether and to what extent the industrial robotics branch implements abilities and characteristics of CPS. We examine the top five industrial robot manufacturers ABB, Fanuc, Kawasaki, Kuka, and Yaskawa and identify considerable, current implementations. However, concerning one of three perspectives—the perspective on CPS as industry platform constructs, takes the industrial robotics branch only certain small steps towards CPS platforms. We discuss them and outline a set of business model patterns that can transform product innovations, enabled by abilities and characteristics of CPS, into business model innovations in the industrial robot domain. In order to enable the industry to exploit the full potential of industrial robots understood as CPS, we question the right degree of openness in the context of industry platform constructs. Our methodological approach combines conceptual with empirical research

From the Unimate to the Delta Robot: The Early Decades of Industrial Robotics

In this paper, the early decades of the history of industrial robots (from the 1950\u2019s to the beginning of the 1990\u2019s, approximately) will be described. The history of industrial robotics can be considered starting with Unimate, the first industrial robot designed and built by Devol and Engelberger. The subsequent evolutions of industrial robotics are described in the manuscript, taking into account both the technical and the economic point of view, until the beginning of the 1990\u2019s, when new kinematic structures (parallel robots) appeared, allowing high-speed operations

Conventional Industrial Robotics Applied to the Process of Tomato Grafting Using the Splicing Technique

Horticultural grafting is routinely performed manually, demanding a high degree of concentration and requiring operators to withstand extreme humidity and temperature conditions. This article presents the results derived from adapting the splicing technique for tomato grafting, characterized by the coordinated work of two conventional anthropomorphic industrial robots with the support of low-cost passive auxiliary units for the transportation, handling, and conditioning of the seedlings. This work provides a new approach to improve the efficiency of tomato grafting. Six test rates were analyzed, which allowed the system to be evaluated across 900 grafted units, with gradual increases in the speed of robots work, operating from 80 grafts/hour to over 300 grafts/hour. The results obtained show that a higher number of grafts per hour than the number manually performed by skilled workers could be reached easily, with success rates of approximately 90% for working speeds around 210–240 grafts/hour

Industrial robotics for ERP controlled smart factories

At product manufacturing the time-to-market factor, the profitability and the delivered value define the success of an enterprise. The increasing number of modules in Enterprise Resource Planning (ERP) programs is a facing problem, when there is a margin between the manufacturing cells and the ERP. Nowadays, the connection between the industrial machines and the ERP is an important requirement especially at automated warehouses and smart factories. Other concerns at manufacturing are the maintenance schedules of the machines, and flexible and easy reconfiguration of the production lines or the production cells. Information technology provides solutions and software environments to implement complex production supervisor ERPs at smart factories. At a production line or an automated warehouse several technical parameters and information can influence the planning of the resources at the enterprise, like maintenance, machine error, stockpile, product ID, defective product ratios, etc. When there is machine maintenance, the company needs to order the service parts, as well as schedule the service time and the stop of the production line. In case of a machine error, the system can estimate the length of the service time from error messages, and reorganize orders, transportation, or even maintenance schedules of other machines. Our plug and play type robot and industrial automation controller project gives a solution for these hardware demanding needs