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

The Rise of Robot Machining: Unleashing the Future of Manufacturing

The integration of robotic technology into machining has been a game-changer for some manufacturers. No longer constrained by workspace size and CNC machine cost, there is almost no limit to the possibilities of robot machining.

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.

Robotics Applications in Manufacturing and the Sensors Used for Maximum Efficiency

Autonomous industrial robots can increase production volumes exponentially, yielding high profits. The International Trade Administration has reported that increasing robot density by a small 1% among all industries can improve productivity by 0.8%.

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.

Robot plays "Rock, Paper, Scissors" - Part 2/3

The app forms the second phase of the project and - generally speaking - is intended to enable players to play against a simulated computer opponent. It builds on the trained AI and uses its results further.

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.

Robot plays "Rock, Paper, Scissors" - Part 1/3

In his search for a suitable camera, he came across IDS NXT - a complete system for the use of intelligent image processing. It fulfilled all requirements and, thanks to artificial intelligence, much more besides pure gesture recognition.

FAULHABER MICROMO in Clearwater, Florida - Progress as a driving force

What began with an idea and the founding of a company over 60 years ago is now a company that offers and sells high-performance FAULHABER drive systems throughout the North American market.

Breaking the mould - Shibaura Machine injection moulding machines transform SPAL Automotive's production

Automotive manufacturer SPAL needed to upgrade its production line to meet changing market demands - including faster cycle times and reduced energy consumption.

NVIDIA, Teradyne and Siemens Gather in the 'City of Robotics' to Discuss Autonomous Machines and AI

At Teradyne companies Universal Robots and MiR's new joint headquarters in Odense, Denmark, industry execs discussed the transformative impact of AI and collaboration on robotics.

Implementing Advanced Vision Systems for Safer Robotics

Robots could revolutionize workplace safety. For that to happen, though, the organizations employing this technology must equip it with tools to help it recognize and respond to hazards. That means capitalizing on machine vision.

Global cricket ball manufacturer uses automation with a vision system for efficiency and upskilling

The plan was to place the full trays of cricket ball covers into the dispenser, feeding trays automatically to the TVL700 robot to load and unload the trimming machine. This requires only one operator to load a set of trays every 20 to 25 minutes.

ABB Robotics launches global startup challenge to accelerate innovation in robotics and AI

Startups and scaleups to submit ideas in natural language programming, skill learning, and autonomous decision-making. Winners gain access to ABB's global network, cutting-edge technologies, and long-term partnership opportunities

Records 226 to 240 of 3580

First | Previous | Next | Last

Featured Product

IP Seals for Robots

IP Seals for Robots

Freudenberg Sealing Technologies' IPRS (Ingress Protection Seals for Robots) provides reliable protection for robotic systems operating in harsh environments. Designed to prevent dust, moisture, chemicals, and wear from compromising performance, IPRS extends service life and reduces maintenance. The adaptive Z-shaped geometry ensures sealing integrity under continuous motion, making it ideal for high-speed automation and outdoor applications. Manufactured with high-performance elastomers such as Fluoroprene XP and EPDM, IPRS offers exceptional resistance to lubricants, cleaning agents, and extreme temperatures. This makes it the perfect solution for six-axis robots, SCARA robots, AMRs, AGVs, and cobots. With its low-friction design and durable materials, IPRS enhances energy efficiency and operational reliability in industrial and autonomous robotics. Learn more about our IPRS Seals