Mar 23, 2021

New safety solution enables manufacturers to safeguard accessible collaborative robotic applications

MINNEAPOLIS, MINN., MARCH 24, 2021 – SICK and Universal Robots (UR) are announcing 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 work well in handling operations using robot applications with free access and enable manufacturers to achieve safety without sacrificing productivity.
Intelligent Safety for Robotics with nanoScan3
The nanoScan3 is the world’s smallest profile safety laser scanner. Its space-saving design works perfectly in mobile robotics applications, but also in stationary applications where space is limited. It 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 smartly combined with the URe robot safety features thanks to a provided configuration tool. This enables the easy configuration directly via the UR teach pendant.
The safety laser scanner is constantly monitoring the ground level around the robot. A nanoScan3 Pro is able to monitor with two protective fields simultaneously the area around the robot, this makes possible to dynamically reduce or stop the robot movement only when a person is too close from the robot working area. As soon the person leaves the area, the robot recovers its operating speed and becomes productive yet again. With the nanoScan3, it can achieve a high safety performance level – PLd.
Easy Safeguarding of Free Accessible Robot Applications
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 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. With both systems, the robot will resume its activities at full operational speed as soon as the person leaves this area, providing you the highest productivity.
sBot Stop – URCap and sBot Speed – URCap offers you a new way of safeguarding your robot application and achieve high productivity. It is easy and fast to setup and offers smart features like Smart Field definition, Field teach-in, simultaneous scan data and automatic field fusion provides feedback though the GUI. This eases the setup, diagnostics, commissioning and validation.
About SICK

SICK is one of the world’s leading manufacturers of sensors, safety systems, machine vision, encoders and automatic identification products for industrial applications. With more than 1000 patents, SICK continues to lead the industry in new product innovations. The diversity of its product line allows SICK to offer solutions at every phase of production in the logistics, automotive, packaging, electronics, food and beverage, and material handling markets. SICK AG was founded in 1946 and has operations or representation in 65 countries worldwide.



Mandee Nguyen
SICK, Inc.
6900 W 110th St
Minneapolis, MN
55438 USA
Phone: 800.325.7425
Fax: 952.941.9287
Email: mandee.nguyen@sick.com