Slamtec Mapper M2M3 40m LiDAR SLAM Mapping and Localization Module

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It outputs 2D maps, planar pose coordinates and localization quality, reducing the need to build a complete laser-SLAM pipeline on an external computer. The M2M3-specific datasheet lists a 40 m maximum range at 90% reflectivity, a 300 × 300 m mapping area and 5 cm map cells. Its 10 Hz map-and-pose refresh supports mobile robot development, environment surveying and handheld planar mapping. Connect over Ethernet or Wi-Fi using the Slamware development tools. M2M3 is a planar SLAM module rather than a 6DOF visual-inertial system; keeping the sensor level and controlling platform speed are important parts of a reliable installation. Features Onboard SLAM processing - Produces map data, pose coordinates (x, y, heading) and localization-quality information. 40 m laser range - Maximum ranging is specified on a 90% reflective target; the full range is not guaranteed on dark surfaces. 300 by 300 m mapping - A 5 cm grid resolution supports practical floor-plan and mobile-robot map generation. 10 Hz data updates - Map and location information refresh at 10 Hz for host-side monitoring and integration. Loop closure and map refinement - The integrated map-optimization engine and SharpEdge processing support map consistency and refinement. Ethernet and Wi-Fi access - Use Slamware SDK interfaces rather than treating the module as a simple serial RPLIDAR sensor. Compact integrated body - 77.1 × 57 × 65.5 mm and 163 g for installation on small mapping rigs and robot bases. Defined movement envelope - The datasheet lists a 2 m/s maximum linear speed and ±3-degree mapping inclination limit. Development resources - Official technical documentation and Slamware C++/ROS interfaces support application integration. Angled view of the compact mapping sensorProduct outline view for installation reference Specifications Parameter Value Model Mapper M2M3 Sensing / processing 360-degree LiDAR with integrated 2D SLAM Distance range 0.1-40 m; 40 m maximum at 90% reflectivity Sample rate 10,000 samples/s in the M2M3-specific datasheet Scan rate / angular resolution 10 Hz / 0.36° Range resolution / accuracy 1 cm / ≤3 cm under specified conditions Maximum mapping area 300 × 300 m Map resolution 0.05 m per grid cell Localization accuracy Less than 0.02 m in ideal laboratory conditions; not map-grid resolution Data refresh 10 Hz Maximum linear speed 2 m/s Maximum mapping inclination ±3° Graph-optimization duration About 1 hour, environment dependent; mapping subsequently continues without graph optimization Output Laser scans, 2D map, planar pose and localization quality Ethernet 10/100 Mbps, 802.3/802.3u Wi-Fi 802.11a/b/g/n/ac Supply voltage 4.95-5.3 V; 5.1 V typical in the datasheet Operating current 650 mA typical, 1,300 mA maximum at 5 V Startup current 1,200 mA typical, 1,300 mA maximum Dimensions / weight 77.1 × 57 × 65.5 mm / 163 g Operating / startup temperature -5 to +45 °C / 0 °C or above Laser safety Class 1 Product Comparison Model Architecture Main Outputs Mapping Area Connections M2M3 Integrated 2D LiDAR SLAM 2D grid map and planar pose (x, y, heading) 300 × 300 m Ethernet / Wi-Fi Aurora LiDAR + stereo vision + IMU 6DOF pose, 2D map and 3D point cloud Over 1,000,000 m² Ethernet / Wi-Fi / USB-C data Aurora-S AI vSLAM + stereo vision + IMU; optional LiDAR 6DOF pose, dense depth and semantic outputs Over 1,000,000 m² Gigabit Ethernet / USB-C; optional Wi-Fi accessory Choose by output and integration needs: M2M3 is a planar mapping module, Aurora integrates a laser scanner, and Aurora S uses visual-inertial perception with an optional external LiDAR. These are not equivalent sensor packages. Application Indoor Environment Mapping Build a grid representation of rooms and corridors while moving smoothly through the site. Preserve overlap between observations and revisit stable structures to support loop closure. Mobile Robot Localization Use onboard planar pose and map output to connect perception to a robot controller. Define the transform between the mapper origin and the robot base, and validate localization quality before acting on pose estimates. Handheld Mapping Rigs Mount the module on a level handheld fixture for floor-plan capture. Keep inclination within ±3 degrees and remain within the specified linear-speed envelope; this is not unrestricted 6DOF handheld scanning. Commercial Robot Prototyping Evaluate the integrated mapper in service, delivery and inspection bases. Keeping SLAM processing onboard can simplify host development, while motion planning and vehicle control remain separate integration tasks. Architectural Layout Studies Collect planar geometry as a starting point for spatial-layout review. The 5 cm grid size and laboratory localization figure describe different metrics and should not be treated as a survey-grade dimensional guarantee. Slamware Software Integration Use Ethernet or Wi-Fi and the corresponding C++ or ROS interfaces to obtain maps, pose and system state. Monitor communication interruptions and localization quality in the finished application. Reference Documents Manuals and Specifications M2M3 Datasheet M2M3 Quick Start Software and Development Support Downloads Slamware C++ SDK Slamware ROS Guide Packing List SKU Item Quantity Slamtec-M2M3 Slamtec Mapper M2M3 LiDAR Mapping Sensor 1 FAQ Does M2M3 perform SLAM onboard?Yes. It combines LiDAR and processing to output 2D map data, planar pose coordinates and localization quality.Does it produce full 6DOF localization?No. M2M3 is a planar mapping module providing x, y and heading. Aurora and Aurora S offer different architectures for 6DOF spatial perception.How large is the supported map?The M2M3 datasheet lists 300 × 300 m, using 0.05 m grid cells.Is 2 cm the map resolution?No. Map resolution is 5 cm per cell. The less-than-2 cm localization figure is measured in an ideal laboratory environment and is not a guaranteed map-cell size or universal field accuracy.How far does the lidar measure?The maximum distance is 40 m at 90% reflectivity. Detection distance varies with target and environment.Is the sample rate the same as map refresh?No. The M2M3-specific datasheet gives 10,000 laser samples per second and 10 Hz map/pose updates. These measure different parts of the system.What movement limits apply during mapping?The datasheet lists 2 m/s maximum linear movement and ±3-degree maximum inclination during mapping.Does the one-hour figure mean battery runtime?No. It describes the approximate graph-optimization duration, depending on the environment. Mapping can continue in a non-graph-optimization mode; the module needs an external power supply.What is included?Slamtec Mapper M2M3 LiDAR Mapping Sensor: 1 unit.Which software interface should I use?Use the Slamware C++ SDK or ROS integration linked in Reference Documents. M2M3 is not configured as a raw UART RPLIDAR sensor. Show more