Coval's CVGM series mini vacuum chamber is designed to handle light and porous objects, such as protective masks, but also fabric or leather cut-outs.
Industrial robots have long had a reputation problem. In fact, distrust in automation has led to slow adoption in some countries. Even in the US, the International Federation of Robotics' 2019 report found that adoption rates were 49 per cent below what was expected.
The main advantage of having lightweight EOAT is the ability to handle the objects while not adding much weight to the end of the robot arm. This enables using smaller robots/machines as all their power can be utilized to handle the food products.
While traditional robotics systems have successfully served the food sector for many years in palletizing (and some packaging) applications, it is only in recent years that it has become possible for robots to handle delicate food items directly.
Imagine if you could harness the same static cling to handle a material as fragile as an egg, as flimsy as soft fabric - or to assemble the uppers of Nike trainers at 20 times the pace of a human worker.
To increase productivity in production, more and more companies are deciding to link and automate their machine tools. The right automation system is crucial here. Robots and the appropriate gripping technology play an important role here.
Under the specifications of renowned German car manufacturers, EFS developed a demand-oriented, partially automated handling device for car door installation and removal based on an electrical system.
A foundry, making different car suspension parts, was using a gripper with a dust cover to grind and deburr parts out of a press. They were having issues with the gripper and getting debris in the guideways and not being able to actuate the gripper.
The array of gripper choices in the automotive, pharmaceutical and electronics and industries for pick-and-place automation systems are numerous. The many gripper styles - all of which have their own size, method of operation, and level of human interaction - is daunting.
On the Automation side of our business we've given more of our booth space to robotic end-of-arm tools demonstrating both industrial palletizing and collaborative applications, using our fast growing line of Cobot grippers and pumps. Booth #6319
More flexible materials are necessary for safer collaborative work alongside humans and delicate tasks usually performed by humans, such as picking fruit and vegetables or performing minor surgeries.
Robots aren't always given a favorable representation in pop culture. In Stanley Kubrick's 2001: A Space Odyssey (1968), homicidal supercomputer HAL 9000 demonstrates how a robot could conspire against its human colleagues.
FT-Produktion Boosts Output Capacity Without Adding Personnel by Employing Combination of Collaborative Robots and Robot Grippers
"We chose a combination of solutions from OnRobot, Universal Robots, and EasyRobotics because they are easy to program, and the investment will pay for itself in just nine months. It's one of the best business decisions we've ever made."
UB engineers develop a dynamic gripper that mimics the adjustable grip of a human hand, an advancement that could improve industrial safety
This Honeywell Intelligrated white paper examines the specific labor, operational and technological challenges on the loading docks of distribution centers (DCs), and introduces a new solution to help deliver the performance modern supply chains require.
Records 16 to 30 of 55
Pleora's Visual Inspection System helps operators detect errors and defects for unique component types, assembly steps, and custom low-run products where automated optical inspection (AOI) is too complex and expensive. The system helps DICA Electronics: Avoid costly, errors as a result of detecting errors at different phases in production, Speed time in detecting the root cause of the in-field errors with Tracking & Reporting apps for traceability, Maintain consistency in training new employees on requirements or with staff any time a new product is added, Easily train the system using 'good product' images for multiple product lines with no programming skills required, Reduce subjective decision-making, especially over a long shift, reducing error-escapes.