Precision
LIDAR Sensors

$1,100.00

LIDAR for those who want the best performance from their navigation algorithm. Useful for large spaces such as offices, mid-sized warehouses or production environments.

$150.00

Our most cost effective LIDAR offering. Useful for mapping domestic environments with numerous walls or reference points that are always close to the robot.

FAQ

01
What is Time-of-Flight LiDAR and why does it matter for robotics navigation?

Time-of-Flight (TOF) LiDAR works by emitting a laser pulse and precisely measuring how long it takes to return after bouncing off a surface. That timing data is converted into an accurate distance measurement — thousands of times per second, across a full 360° field of view. For robotics, this means your robot gets a continuous, real-time picture of its surroundings with the precision needed to build reliable maps, maintain stable localization, and navigate autonomously without collision. It’s the sensing method used across professional and research-grade robotics because it works — in real environments, not just ideal ones.

The core difference is the environment each is optimized for. The Short Range LiDAR covers 0–12 meters and is built for compact indoor spaces — classrooms, small labs, domestic environments, and office corridors where nearby walls and surfaces naturally anchor your SLAM map. The Long Range LiDAR extends detection out to 120 meters (80 m at 10% reflectivity) and is designed for large open spaces — warehouses, production floors, and multi-room facilities where the robot needs to see far to maintain accurate localization. Same sensing technology. Different operating envelopes.

The Magni 6 Mini ships with the Short Range LiDAR as standard — matched to the tight indoor environments the Mini is designed for. The Magni 6 Midi includes a longer-range LiDAR (12–25 m) suited to the larger environments its payload and chassis are built to operate in. Both are pre-integrated with the ROS 2 stack, so you’re navigating from day one — no driver configuration, no sensor calibration from scratch.

Yes. Both LiDAR sensors are designed to integrate with the Magni platform and ROS 2 stack. If your project starts in a small lab and moves to a larger facility — or if your navigation algorithm simply needs more range to perform reliably — upgrading is a hardware swap, not a software rewrite. The ROS 2 driver and SLAM configuration handle the transition cleanly.

Reflectivity refers to how much of the laser pulse a surface bounces back toward the sensor. Bright, smooth surfaces like white walls reflect a lot — dark, matte surfaces like black rubber flooring or unpainted concrete reflect far less. Most LiDAR specs quote range at high reflectivity, which flatters the number. The 80-meter figure at 10% reflectivity is the more honest measurement — it tells you how the sensor performs on real-world surfaces in real-world environments, not just under ideal conditions.
For the environments the Short Range LiDAR is designed for, yes — 12 meters is more than sufficient. In a room, corridor, lab, or domestic space, the robot is almost never more than 12 meters from a wall or fixed reference point. Dense, frequent returns at close range actually give the SLAM algorithm more data to work with per scan, producing tighter, more accurate maps in compact environments than a long-range sensor operating well below its optimal range.
It’s built for them. The Long Range LiDAR operates across a voltage range of 9V–32V DC and a temperature range of -20°C to 60°C — specifications that reflect real industrial deployment conditions, not just controlled lab environments. Whether it’s temperature fluctuation, variable power supply, or low-reflectivity surfaces, the Long Range LiDAR is rated to operate reliably where many sensors would struggle.
Both sensors integrate natively with the ROS 2 Jazzy stack used across the Magni platform. They publish standard LaserScan messages, which are directly compatible with ROS 2 navigation packages, SLAM toolboxes, and the EZ-Map Educational software included with Magni robots. For developers building custom navigation stacks, the standard message format means no custom middleware, no proprietary SDK — just data, published cleanly where your stack expects it.
Yes. While both sensors are selected and tested for native integration with Magni platforms, they are standalone units that can be integrated into custom robot builds, research rigs, or development platforms. The Short Range LiDAR operates at 5V DC, making it straightforward to power from a Raspberry Pi or Arduino-based system. The Long Range LiDAR’s wide voltage input (9V–32V DC) gives it flexibility across a broad range of custom hardware configurations.
Start with your environment. Measure the longest unobstructed distance your robot will regularly need to detect across in normal operation. If that distance is consistently under 12 meters — walls, furniture, and reference points are always nearby — the Short Range LiDAR is the right tool and will give you excellent SLAM performance. If your robot operates in spaces where it regularly needs to detect across 15, 20, 50 meters or more — open warehouses, production floors, large labs — the Long Range LiDAR is the correct choice. If you’re still unsure, our team is happy to help you match the right sensor to your specific use case.
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