• SLAMTEC Aurora LiDAR mapping and localization sensor front view with dual optical windows
  • Aurora sensor three-quarter view showing vented side panel and three recessed I/O ports
  • Rear I/O view of SLAMTEC Aurora LiDAR sensor with multiple connector ports and status button
  • Side profile of Aurora unit showing perforated housing and three-port connector panel
  • Underside angled view of Aurora LiDAR sensor showing base grille and side connector ports
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SLAMTEC Aurora LiDAR Mapping & Localization Sensor, USB-C + Ethernet + WiFi, 40m@70% Range, 505g

SLAMTEC Aurora LiDAR Mapping & Localization Sensor, USB-C + Ethernet + WiFi, 40m@70% Range, 505g

Slamtec

$1,399.00 USD
$1,399.00 USD
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Impuestos incluidos. Los gastos de envío se calculan en la pantalla de pago.
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Overview

SLAMTEC Aurora LiDAR is a mapping and localization solution that integrates LiDAR, binocular vision, an IMU, and deep learning for indoor and outdoor positioning and mapping.

Aurora is designed to work independently—simply power on to operate—with no external dependencies required.

Key Features

  • Integrated sensing and compute: 2D LiDAR, binocular vision, 6DOF IMU, and an AI processor in one compact module
  • 3D 6DOF omnidirectional localization capability
  • Millimeter-level resolution accuracy, centimeter-level localization accuracy
  • Large mapping area: >1,000,000 m^2
  • Compact size: palm-sized, 500g weight class (listed weight: 505g)
  • External interfaces shown: 1000M Ethernet, WiFi, USB Type C
  • External expansion shown: BeiDou/GPS/RTK; supports external expansion (GPS/RTK, odometry, etc.)
  • Map output shown: synchronized 2D laser grid maps and 3D point cloud output

For integration questions or ordering support, contact [email protected] or visit https://rcdrone.top/.

Specifications

Power input DC12V-2A (DC5.5x2.1mm)
Power 10W (typical)
Data interface 1 x USB-C (No power delivery); 1 x Ethernet (RJ45)
Wireless connection WIFI
Weight 505g
Working temperature 0°C to 40°C
2D map resolution 2cm/5cm/10cm adjustable
Maximum mapping area >1,000,000 m^2
Relocation Support global relocation
Map continuation Support
Map loading and saving Support
Map localization mode Laser + vision + inertial navigation multi-source fusion
Multi-sensor synchronization mechanism Hardware time synchronization
LiDAR distance measurement Maximum range 40m@70% reflectivity
Camera specifications Binocular fish eye global camera, supports HDR, FOV 180 deg, 6cm base line
Camera frame rate Typical 10Hz, 15/30Hz can be customized
Maximum tilt angle No requirements (to ensure the 2D drawing effect, it is recommended that the tilt angle does not exceed 30 deg)

Applications

  • Humanoid Robots
  • Robotic Arms
  • Exoskeletons
  • Quadruped Robots
  • AGV Vehicles
  • ARU Robots

Manuals

Videos














Details

SLAMTEC Aurora LiDAR mapping and localization sensor module on tripod, compact 505g design

Aurora combines LiDAR, binocular vision, IMU, and onboard compute to deliver 6DOF mapping and localization in one compact module.

Close-up of SLAMTEC Aurora sensor body with binocular cameras and top LiDAR window while being held

Power on and start mapping without relying on an external computer, then connect over USB‑C, Ethernet, or WiFi for data and control.

SLAMTEC Aurora key features infographic: LiDAR+vision+IMU, 3D 6DOF, AI, >1,000,000 m² mapping area

Multi-sensor fusion enables millimeter-level map resolution and centimeter-level localization accuracy for large-scale mapping.

System architecture graphic showing integrated LiDAR, binocular camera, IMU, AI processor, and external expansion ports

Integrated sensing and computing reduces integration effort while still supporting expansion inputs such as GPS/RTK and odometry.

Banner text for AI + SLAM powered by deep learning, highlighting robust mapping and localization challengesPoint-cloud stability comparison during high-speed motion: Aurora DNN AI enabled vs traditional non-AI solutionOutdoor point-cloud comparison in wind and grass, emphasizing Aurora stability versus traditional positioning lossDeep-learning feature identification comparison with green feature points versus traditional feature extraction error3D point cloud visualization splash graphic promoting flexible handheld use and ready-to-work mappingIndoor/outdoor mapping demo with quadruped robot footage beside real-time point-cloud visualizationNight driving scene with mapping overlay, highlighting localization performance in dark and high-speed conditionsSatellite-style route map highlighting large-area mapping performance over 120 km² and 47.7 km track

For long runs and large sites, Aurora supports mapping areas over 1,000,000 m² with map saving and continuation.

Synchronized 2D laser grid map and 3D point cloud output for outdoor mapping, displayed side-by-side

Aurora can output synchronized 2D laser grid maps and 3D point clouds to support both classic navigation and 3D perception.

Garage mapping example showing 2D laser output and corresponding 3D point cloud output side-by-sideCompact integration graphic with Aurora paired with quadruped robot, wheeled robot platform, robotic arm, and handheld useThree-step workflow graphic: installation, powering on, and data collection to start mapping quickly

Setup follows a simple flow—mount the sensor, supply DC power, and collect data for mapping or localization mode.

Feature icons for map load/save, breakpoint resume, multi-source synchronization, low power 10W, and time sync

Hardware time synchronization and map management tools help keep data aligned across sensors and sessions.

Application scenarios grid: humanoid robots, AGVs, lawn mowers, environmental mapping, GPS-free localization

Designed for robotics and autonomy projects including AGVs, quadrupeds, humanoids, and GPS-free indoor/outdoor localization.

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