The idea of building a machine from isolated parts, each with its own setup and software, no longer fits how modern automation works.

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 ...

There are many technical and commercial factors that original equipment manufacturers (OEMs) must evaluate when designing motion control solutions for industrial machinery. Many types of industrial ...

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, ...

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.

Over-engineered automation systems create hidden costs and delays. Right-sizing, openness and resilience offer a smarter path to faster development and better performance. 80% of applications use only ...