Speed and Separation Monitoring With Sick’s sBot Safety System and Urcap for Universal Robots

SICK and Universal Robots (UR) announced a new safety solution for the safeguarding of accessible robotic applications. When combined, the sBot safety system and URCap from SICK increase productivity with immediate automated restart and profit from an easy configuration of the safety system directly from the UR teach pendant.

With this partnership, SICK and UR have created the fastest way to implement speed and separation monitoring for cooperative robot applications.

The sBot Stop – URCap and sBot Speed – URCap are easy-to-use safety systems based on the smart combination of the nanoScan3 safety laser scanner and UR Robot safety features. These solutions reportedly work well in handling operations using robot applications with free access and enable manufacturers to achieve safety without sacrificing productivity.

The nanoScan3 is the world’s smallest profile safety laser scanner. Its space-saving design works in both mobile robotics applications and stationary applications where space is limited. It reportedly delivers high-precision measurement data and is extremely resistant to light, dust, or dirt. It also has the highest level of flexibility with up to 128 freely configurable fields and monitoring cases.

The nanoScan3 Core safety laser scanner is combined with the URe robot safety features thanks to a provided configuration tool. This reportedly enables the easy configuration directly via the UR teach pendant.

The sBot Stop – URCap and sBot Speed – URCap are safety systems for the safeguarding of free accessible robot applications with the highlight of a fast and easy configuration of up to two safety laser scanner(s) directly via the UR teach pendant.

Using the sBot Speed – URCap safety system, the access to the robot is free and the robot will reduce the speed and, if necessary, stop when a detected person gets too close to the robot working area. The sBot Stop – URCap safety system reportedly provides customers with the ability to output a warning if a person gets close to the application and, if necessary, stop when a detected person gets too close to the robot working area.

For more information, visit https://www.sick.com.

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