The most widely accepted definition of an industrial robot is one developed by the Robotic Industries Association:

An industrial robot is a reprogrammable, multifunctional manipulator designed to move materials, parts, tools, or specialized devices through variable programmed motions for the performance of a variety of tasks.

The technology of robotics is concerned with the design of the mechanical manipulator and the computer systems used to control it. It is also concerned with the industrial applications of robots.

But technology has advanced to a point, according to “Automation Timeline: The Drive Toward 4.0 Connectivity in Packaging and Processing,” whereby “robots, including cobots, are more than capable of branching out beyond end-of-line applications.” This provides an opportunity for OEMs and suppliers to provide guidance on robot and cobot applications to expand operations.

Robot Design & Development

Design, Applications and Technology is an essential reference source that explores the fundamentals of kinematics, dynamics and industrial robot control as well as a new generation of industrial robots, the collaborative robots or cobots. The tendency in Industry 4.0 towards the mass customization of products, shorter product cycles and quality demands has led to the introduction of collaborative robot’s systems capable of learning and working hand-in-hand with humans. Collaborative robots in the industry target the enhancement of production efficiency by combining the best of human operators and the industrial robots’ accuracy, speed and reliability. The advances in smart sensors, artificial intelligence, digital twin, cyber-physical systems and the adoption of exoskeletons in industrial applications have opened new possibilities for technological progress in manufacturing, which led to efficient and flexible factories. This requires individuals to be educated in trends that are now focused on the design, monitoring and control of smart production processes. Featuring coverage on a wide range of topics such as new trends in human-robot collaboration, advanced vision technology and artificial intelligence, as well as application of industry robots in metal and wood industry, this book is ideally designed for electrical engineers, mechanical engineers, manufacturers, supply chain managers, logistics specialists, investors, managers, policymakers, production scientists, researchers, academicians and students at the postgraduate level.

Robot Programming

The industrial robotics programming team at Automations can integrate the top industrial robot brands and models across a wide variety of applications, including standalone robotic applications or as part of a larger automated system. Our industrial robotics programming services can range from design and installation to full production and cycle time reduction projects. We are also experienced with helping manufacturers adopt collaborative robots.

Collaborative Robots
– Off-line Program Development – Template and Software Development
– Robot Start-up and Debug (software loading, mastering, tool center point setup)
– Process Development and Consulting
– I/O Communication Set-up and Debug
– Cycle Time and Process Improvement
– Quality Control on Robotic Operations
– Development of application specific operation and support documentation
– System Support and Training

Automated Guided Vehicle

Automated guided vehicle systems must be precisely controlled and coordinated. Learn everything about AGVs and their advantages!Definition of automated guided vehicle systems: They consist of different components, which must be coordinated and controlled precisely. VDI Guideline 2510 defines and classified AGVs according to their design.

Automated guided vehicle systems must be precisely controlled and coordinated. Learn everything about AGVs and their advantages!

The design of automated guided transport systems
The components of an AGV:

– Automated guided vehicles defined in accordance with industrial trucks
– A master control
– Means for locating and detecting position and state of transport vehicles
– Means for data transmission to and from vehicles in the AGV
– Infrastructure and peripheral facilities such as charging stations etcS

Why automated transport systems are important in logistics
More than 50 years ago, the first automated guided vehicle systems were developed and used in the USA. These systems are now an integral part of modern logistics. Automated guided vehicle systems are used to autonomously transport and handle various goods and materials by means of active and passive load handling devices. The AGVs are floor-mounted and can be used inside buildings as well as outside and in external warehouses. Thanks to the continuous optimization of the systems, the vehicles and the technology used, more and more companies can exploit the advantages of these transport systems and benefit from their flexible and efficient use in their own intralogistics.

Possible applications of AGVs: speed, safety and handling of heavy loads
Automated guided vehicle systems are used globally and in diverse applications. They can be used both in work areas frequented by people and in fully automated work areas. They are designed extremely flexible. Thus, the AGVs can be easily adapted to the respective tasks. In small warehouses, for example, there are vehicles in use that can transport only a few kilograms of goods, while large systems can carry loads of up to 50 tons. However, automated guided vehicles differ not only in terms of their maximum load, but also in terms of their speed. However, this also depends on many external factors. While vehicles in work environments frequented by people are often not allowed to exceed a speed of one meter per second, higher speeds can also be achieved in fully automated environments. Limiting factors are above all the braking distances and the load changes caused by the transported goods. This means that automated guided vehicle systems offer a high degree of flexibility.

Machine to machine integration

Machine-to-machine integration and the Industrial Internet of Things are reinventing manufacturing as we know it, giving birth to the smart factory that is connected, intelligent and aware—enabling new-found levels of productivity and predictability. Though manufacturers have been collecting information from across the manufacturing floor for decades, the cost of implementing smart sensors has gone down significantly in recent years. Meanwhile, analytics capabilities have grown extensively. As a result, today we have the technology to go beyond data capture to extrapolate near real-time insights to inform and optimize processes for better outcomes. This is the nirvana of the smart factory.

Machine vision Integration

Machine Vision provides several capabilities, such as presence verification, measurement, pattern recognition, barcode reading, optical character recognition, color match, label verification, print quality inspection, and surface inspection. Effective Machine Vision Systems must not only capture a viable image, but also interpret the image accurately to obtain meaningful information. Grantek designs and implements Machine Vision System solutions ranging from barcode readers to color cameras, and can even implement 3D cameras to determine three dimensions of products.

Incorporating Machine Vision Systems improves quality and offers earlier defect correction, reducing rejections downstream and further unnecessary investment into a product. The Vision system evaluates captured images pixel by pixel, and since inspection takes place at production speeds, problems can be detected and corrected much more quickly.

Machine Vision Systems can be used with new equipment or added to improve performance of existing machines and systems. Two main applications for vision systems are: ID and Tracking (Serialization), and Defect Detection.

Contact us