Mitsubishi Electric Achieves Guinness World Record for Fastest Robot to Solve a Puzzle Cube
A project team of young engineers from Mitsubishi Electric Corporation beat the previous record by 0.075 seconds using a robot equipped with high-speed, high-precision factory automation equipment and control technology.
The vital role of industrial workstations in manufacturing
Many essential tasks are completed with the help of industrial workstations and tool workbenches. Set your employees up for success by equipping them with custom, ergonomic, and modular workstations to foster comfort, satisfaction, retention, and productivity.
What Are the Secrets to Optimizing Motion Control in Robots?
Motion control optimization is about more than ensuring a robot can move. It must also move correctly; meeting the ideal speed, power, direction, length and timing. Assurance in each of these categories is necessary because these are what separate robots from human employees
Zebra Study: Only 16% of Manufacturers Have Real-Time Visibility into Manufacturing Production
While digital transformation is a priority for manufacturers, achieving it is fraught with obstacles, including the cost and availability of labor, scaling technology solutions, and the convergence of information technology and operational technology (IT/OT).
The Role of Robotics in Developing Advanced Autopilot Capabilities
Interest in autopilot capabilities is growing in multiple sectors. Engineers should understand the role of robotics in these systems if they hope to meet this growing demand. Here is a closer look at this technology and how it leverages robotics.
Pik'r Range Picking Robot Enhances U.S. Open Experience at Pinehurst
As golfers perfect their drives on the newly converted Cradle 9-hole course, the Pik'r robot is enhancing the efficiency and safety of golf ball retrieval.
South Korea Tops in the Use of Robot Workers with 1,012 Installed Units Per 10,000 Employees
South Korea has Almost 7x more Robot Workers than the Global Average; the United States and Most European Countries are Far Behind
The future of manufacturing: How cobots can combine with robot offline programming and 3D simulation
Cobots need effective programming to fulfil their capabilities on the factory floor. Without it, manufacturers face a scenario where they can't deploy them in the most pressing areas.
Solving the logistics labor puzzle: Choreographing a Tango of Robots and Human Labor in Warehouse Operations
The most pressing dilemma for the logistics industry is perhaps maximizing output levels that match consumer needs while not having enough employees taking up physically demanding tasks like parcel picking and sorting.
Using machine vision without prior programming skills
The integration of professional machine vision applications is usually very complex. Since no programming skills are required for such machine vision software, industrial image processing can thus also provide a valuable contribution to digitization.
Adoption of Digital Twins Set to Accelerate with the Latest Release of Duality's Falcon Platform Powered by Unreal Engine
Digital twin simulation is emerging as a powerful resource for solving complex problems in AI, robotics, and smart system development. It can bring understanding of the physical world to AI models
Foxconn Trains Robots, Streamlines Assembly With NVIDIA AI and Omniverse
The world's largest electronics manufacturer is gearing up to make one of NVIDIA's most complex products, so it's turning to a digital twin powered by the NVIDIA Omniverse and Isaac platforms.
Navigating the World of Cartesian Robots: Essential Tips for Selecting the Ideal Automation Tool
With so many options available, choosing the ideal cartesian system for a specific application can feel daunting. In this article, explore 5 key considerations for simplifying the decision process when selecting the correct cartesian robot.
60 Plastic bags per minute perfectly positioned
For fully automated pick-and-place applications, it is important that robots can reliably grip differently shaped and translucent objects, as well as objects with complex surfaces.
How important is domain specific data? - The data challenge for AI applications in quality inspection
The concept of pre-trained deep learning models has gained prominence as a means to facilitate rapid development across multiple applications. We even hear about deep learning models that just need minor tweaks to perform optimally on some applications.
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