Free webinar examines how AI and machine learning are transforming precision motion control across multiple industries.

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

As manufacturers expand their use of robotics, cobots and connected production systems, motion control components are becoming increasingly important to flexible automation design.

Creating realistic AI-generated videos could soon become much easier thanks to a new technology that allows people to control ...

A simple MTB technique tutorial showing how to lift and control your bike using a pull-up motion for better handling on rough terrain. #mtbtips #biketricks #mountainbike ...

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...

The new software package provides modular architecture with multi-core and multi-tasking support for multi-axis motion control. SAVAGE, Minnesota, Feb. 19, 2026 — Multi-axis motion control has been an ...

People love snapping pictures with their phones. This is because they can take great photos effortlessly, especially with one of the best Android camera phones. Phone cameras are also loved for the ...

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.

People often take walking for granted. We just move, one step after another, without ever thinking about what it takes to make that happen. Yet every single step is an extraordinary act of ...

During Machine Design’s Motion Systems Takeover Week (Oct. 20–24, 2025), we explored how the fusion of mechanical motion and data-driven control is reshaping high-precision applications across ...