Vision-language models (VLMs) are rapidly changing how humans and robots work together, opening a path toward factories where machines can “see,” ...

In this intriguing video, a curious individual decides to test the capabilities of a bread slicer machine by placing a watermelon inside it. The result is surprisingly fascinating as the machine ...

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied ...

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

Precision of rotational and linear measurement underpins motion control systems, and optical encoders are a mainstay in delivering this. Converting mechanical motion into digital signals enables ...

Indeed, when it comes to the manufacturing sector keeping cost low is one of the key priorities for many. There exist various tools to facilitate production optimization; the most common tool is the ...

Manufacturers need encoders, but they don’t really want to think about them. Encoders are arguably one of the most necessary sensors in manufacturing, but many aren’t sure what to consider when ...

Renewable energy systems are becoming increasingly vital as the world seeks sustainable alternatives to fossil fuels. Among the many components driving these systems, encoders play a crucial role in ...

Encoders are fundamental by nature to robotics motion control as they provide accurate and precise feedback about angle, position, and speed. The robotics industry has grown steadily in the past ...