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.

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 ...

Recent advances in motion control include high-performance servo drives, AI integration, and enhanced communication protocols like EtherCAT. These advances are designed to improve precision, ...

Efficiently integrating multiple axes of motion within limited spatial and mechanical constraints remains a significant challenge for machine designers. Leveraging compact servo drives with real-time ...

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 ...