DCS Stop Position Prediction

In this video, we will go over Stop Position Prediction (SPP), a critical safety feature within FANUC’s Dual Check Safety (DCS) system. SPP ensures that a robot stops before crossing the boundaries of defined safety zones, helping maintain compliance and prevent unintended motion beyond restricted areas. This session focuses on how SPP works, why it matters, and how to configure it effectively for your applications.

We start by explaining what Stop Position Prediction is and how it interacts with Cartesian Position Checks (CPC)and Joint Position Checks (JPC). You’ll learn why default CPC behavior can allow slight zone violations and how SPP addresses this by predicting the robot’s stopping point based on speed, payload, and other factors. 

Next, we’ll walk through the setup process, including enabling SPP in the DCS menu and selecting between Default and User modes. You’ll see how these modes affect stopping distances and how ISO 10218-1 standards influence default values. We’ll also compare the three available Cartesian SPP methods—Default, Expand Point as Line, and Check Predicted Line—so you can determine which approach best fits your risk assessment and process requirements.

Finally, we’ll cover joint-level SPP settings, showing how to apply prediction on a joint-by-joint basis and what differences to expect compared to Cartesian configurations.

Requirements to Use SPP

• FANUC controller with DCS enabled
• Either Position/Speed Check or Basic Position Check software option
• Familiarity with Cartesian and Joint Position Check setup

What You Will Learn

• What Stop Position Prediction is and why it’s important
• How to enable and configure SPP in the DCS menu
• Differences between Default and User modes
• How the three Cartesian SPP methods work and when to use each
• How to apply SPP for Joint Position Checks
• Best practices for testing and verifying SPP settings

This video is ideal for engineers and integrators looking to enhance robotic safety and optimize zone compliance. By the end, you’ll have a clear understanding of how to implement SPP effectively and confidently in your automation environment.