A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

The primary motivation for the PI’s team was achieving motion performance considered impossible by others. This pertains to the Bode sensitivity integral, which implies that enhancing one frequency ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Most CPG brands, distributors, outlet stores, and other participants in the supply chain have already seen the need for a supply chain control center. Effective management of the various moving pieces ...

Most smart home products promise to save you time by allowing you to create schedules to automate tasks like turning on your lights, but taking advantage of that functionality requires first creating ...

Maths anxiety is a significant challenge for students worldwide. While personalised support is widely recognised as the most effective way to address it, many teachers struggle to deliver this level ...

Choice and voice—these have become buzzwords in the drive to give students more control over their education. Research shows that giving students agency over their learning improves motivation and ...