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.
FIRST teams around the world to compete virtually in its design competition, Robots to the Rescue, in which teams will be challenged to design a robot that can solve a current real-world problem.
Deep learning opens up new fields of application for industrial image processing, which previously could only be solved with great effort or not at all. The new, fundamentally different approach to classical image processing causes new challenges for users.
Although some of the work in factories is automated, human input is still crucial and remains at the heart of many operations, including value-added and repetitive ones, but which require a high level of precision.
Flexibility is the ultimate strategy for success in today’s challenging market for food and beverage packaging. Companies are striving to produce increasingly large varieties of products – including various sizes and combinations.
The realities presented by the COVID-19 health crisis have businesses focused on survival. The most important step to take after ensuring the safety of the team is to protect the company’s cash position to the degree that’s possible.
Last week Amazon announced that it planned on hiring 100,000 extra workers to meet the rise in demand for online shopping created by Coronavirus-caused shutdowns and social distancing.
Industrial robots offer increasingly compelling opportunities to help companies get more done and promote consistency in the workplace. Robot safety is another area of concern, especially since robots can reduce some of the risks that cause accidents.
There are many reasons to transfer a product from one conveyor system to another. Whether you’re moving a product to another line for further operations, into a repair area, or into a rejection location, different transfer methods might be in order.
In order to become more efficient and work more quickly but at the same time protect the health of their employees, it is worth investing in ergonomic lifting devices.
At the Institute for Intelligent Process Automation and Robotics of the Karlsruhe Institute of Technology (KIT), the Robot Learning Group (ROLE) focuses on various aspects of machine learning. The scientists are investigating how robots can learn to solve tasks by trying them out independently.
An Ensenso N35 camera is used to capture the beam position and geometry. As soon as the timber is in the printing position, the robot automatically places the flange-mounted camera so that it can detect the surfaces of the beam.
Drones offer some promising solutions to some of our perennial public challenges. We’ll take a look at a few key areas in which they’re already starting to make a difference across various community issues.
Which automakers are best poised to succeed in the future of mobility? That’s the question prompting the appearance of many of the world’s top automotive manufacturers – including Ford, Honda and BMW – at major technology shows like CES 2020 in Las Vegas.
The advancements in mobile robots technology have enabled manufacturers to develop robots suitable to their operational needs and carry out their implementation for their applications.