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SICK: Robot Sensing, Localization and Safety Integration
SICK provides sensing and software for robotic systems. Review nanoScan3 protective scanning, LiDAR-LOC localization, PALLOC guidance and model-specific integration requirements, supported by official documents and dated examples.
SICK's role in robotic systems
SICK supplies industrial sensors and related systems used for perception, localization, identification and protective functions. Its robotics-related offerings include safety laser scanners, robot-guidance vision and localization software. These are elements that robot builders and integrators configure within a larger machine or mobile platform.
A SICK sensor on a robot does not identify who supplies the complete robot or accepts responsibility for its application. Procurement should name the sensor function, exact model, software and interface, alongside the company integrating the system. Research reviewed: 10 September 2026. The examples below draw on official product documents and company-published accounts.
nanoScan3 and the chosen scanner variant
The nanoScan3 family overview dated 25 February 2025 describes a compact safety laser scanner for applications including small mobile platforms. It discusses Safety Designer configuration, diagnostic information and interfaces that vary across the family. Measurement data can also support a localization workflow.
Select the exact variant and connection method before comparing quotations. Confirm protective-field requirements, mounting position, coverage and the interface to the machine's protective controls. A family brochure combines capabilities across variants; it should not be read as the specification of every orderable part number.
Operating limits and system responsibility
The nanoScan3 I/O operating instructions list intended protective applications and explicitly exclude outdoor, underwater and explosion-hazardous use for that documented product. They also state that transparent objects are not detected and that the scanner does not protect against material thrown from a process or emitted radiation.
Those limits apply to the documented nanoScan3 I/O product; they are not a description of every SICK sensor. Obtain the current manual and declarations for the exact supplied model and configuration. The complete installation needs an assessment of the actual hazard and control response, including vehicle or machine stopping behavior. This profile does not certify a workcell or prescribe a protective-field design.
LiDAR-LOC for localization
SICK's LiDAR-LOC 2 overview describes localization using surrounding contours, with support for selected controllers and additional inputs depending on the solution. Position estimation is a distinct function from selecting a route, managing a fleet or providing a protective stop.
The official SICK LiDAR localization repository provides a communication library and ROS 2 integration resources. Confirm the supported operating system, software release, message interfaces and controller. Driver availability does not mean the complete navigation application is included.
A SICK application note on fixed-path navigation discusses mapping, localization and navigation as separate steps. For a pilot, test the actual routes, loading changes, temporary obstructions and docking positions, and define how localization uncertainty is handled.
PALLOC and robot guidance for depalletizing
In a 27 November 2024 announcement, SICK presented PALLOC for locating boxes during robotic depalletizing. The described system combines a 3D snapshot camera, color information and a trained neural-network approach, then sends position coordinates for robot guidance.
This supplies localization information for the picking process. It does not by itself supply the robot, suitable gripper, motion program or complete depalletizing cell. Evaluate your actual cartons, wrapping, mixed sizes, layer patterns, damaged packaging and lighting. Agree what happens when the system cannot locate a reliable pick or the selected box cannot be removed.
Dated examples of integration
A 30 August 2022 SICK article describes cooperation with HIKROBOT and use of nanoScan3 in mobile robots. It outlines collecting scan data for mapping, transferring the completed map to the robot and testing the routes. The account illustrates integration work; it does not establish that every HIKROBOT model uses the same scanner or configuration.
A 10 January 2024 application account describes Shanghai Good Intelligent Technology working with SICK on a tire laser-engraving guidance system using a RulerXR 300G 3D camera. This is a specific vision integration example, separate from PALLOC and the nanoScan3 family.
These first-party examples support the existence of the described applications. They are not independent validations or performance guarantees for another site.
Questions for a sensor and integration proposal
Is the required function measurement, localization, object guidance, identification or protection?
What exact model, firmware, software license and accessories are included?
Which robot controller or vehicle computer receives each output?
What mounting, calibration, timing and environmental conditions are required?
Which real samples and route conditions will be used for acceptance testing?
How are uncertain detections, blocked views, communication loss and device faults handled?
Who validates the complete machine response where a protective function is involved?
What configuration backup, replacement, maintenance and local support services are provided?
Keep measurement performance, application performance and protective-function validation as separate acceptance items. Record the tested configuration so a later sensor, software or layout change can be reviewed against it.
Official resources and related reading
Use SICK's official contact route to reach application specialists, selecting the relevant country or regional organization for supply and service. Confirm the contracting entity and support scope for the installation destination. Public documents do not establish a current price or guaranteed availability.
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