DCS Stop Position Prediction with Parallel Motion

In this video, we will go over how different Cartesian Stop Position Prediction (SPP) methods behave when a robot moves parallel to a Dual Check Safety (DCS) Cartesian Position Check (CPC) zone. Understanding these methods is critical for applications where robots operate close to safety zones without directly approaching them. We’ll explore how each method impacts predicted models, cycle times, and system resources, helping you choose the best approach for your setup.

We start with a quick recap of the three Cartesian SPP methods and why they matter for compliance with ISO 13849-1 and IEC 61508 standards. Then, we dive into a real-world example: transferring parts between infeed and outfeed conveyors while moving parallel to a DCS zone. This scenario highlights the complexity of SPP, as zones can trigger even when the robot isn’t moving toward them.

You’ll see how enabling SPP affects process time factors (PTF) and why monitoring PTF usage is essential for system performance. We’ll test the default method first, then compare Expand Point as Line and Check Predicted Line to see which minimizes predicted model growth and reduces false zone violations. By the end, you’ll understand how each method influences speed, cycle time, and resource consumption.

Requirements

• Familiarity with FANUC DCS settings
• Basic understanding of Cartesian motion and CPC zones
• Awareness of ISO and IEC safety standards

What You Will Learn

• How Stop Position Prediction works with parallel motion
• Differences between default, Expand Point as Line, and Check Predicted Line methods
• How PTF usage impacts system performance and safety compliance
• Best practices for selecting the right SPP method for your application

This Tech Transfer provides practical insights for optimizing robot paths near safety zones without sacrificing speed or safety. If you’re looking to improve efficiency while maintaining compliance, this video is a must-watch.