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 ...

Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

Thanks to hype in the popular media, the term “automation” tends to conjure images of robots, artificial intelligence and the cloud in the minds of most people. The root of most manufacturing ...

Monitoring takes the form of sensors and intelligent devices connected to a digital processor. These monitored values are used for computing and then controlling some sort of real-world action. Many ...

Complex integration challenges associated with melding traditional drives and motion control systems with modern Industry 4.0 technologies stands as one of the biggest obstacles to smart manufacturing ...

In today’s automated machines and platforms, the controllers, drives, and servomotors that move these machines are simultaneously the “brains” and “muscle” of automated production. As the technology ...

As the world embraces electric vehicle technology, the technology itself continues to improve across nearly every aspect. The advancement that promises to be the most transformative—particularly in ...