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 ...

Advanced motion systems are turning machines into coordinated, adaptable platforms. Catch all the highlights from Motion Systems Takeover Week in one place.

Research from a team at the University of Texas at Dallas shows the potential for detecting mental health disorders by analyzing the way a person moves. Using 3D motion capture and machine-learning ...

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.

Collaborative robots, including fixed-base and mobile base, have become increasingly vital in contemporary settings due to their transformative impact on industrial and service sectors. In today’s ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...