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Slamtec Aurora S - 3D Perception Module
Slamtec Aurora S - 3D Perception Module
Slamtec Aurora S - 3D Perception Module
Slamtec Aurora S - 3D Perception Module
Slamtec Aurora S - 3D Perception Module
Slamtec Aurora S - 3D Perception Module
Slamtec Aurora S - 3D Perception Module
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Slamtec Aurora S - 3D Perception Module

Slamtec Aurora S - 3D Perception Module

Slamtec Aurora S - 3D Perception Module
Slamtec | A-000000-07893
€1,014.00
20 perc. French VAT inc.

Slamtec Aurora S is a compact AI 3D perception module for mapping and localization of mobile robots in both indoor and outdoor environments.

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Aurora S: a turnkey 3D perception module

The Slamtec Aurora S is a spatial perception system that combines fisheye stereo vision, an IMU, and a deep learning-based vSLAM engine. Integrated and plug-and-play, it provides in real time accurate 3D maps, 6DOF localization (position and orientation), and dense depth data for your mobile robots and autonomous systems.

Designed for research robotics, industrial automation, digital twins, and low-speed autonomous driving, Aurora S can be easily integrated onto an existing mobile base or into a new robot project.

Applications and use cases

Thanks to its indoor/outdoor compatibility and AI vSLAM engine, Aurora S is suitable for many scenarios:

  • Navigation and 3D mapping for mobile robots (AMR, UGV, experimental platforms)
  • Creation of digital twins of buildings, warehouses, or production lines
  • Embodied intelligence projects and advanced perception for research
  • Low-speed autonomous driving solutions and service robotics

Software and integration for developers

The module comes with a complete software ecosystem to simplify testing, integration, and the development of advanced applications.

Aurora Remote UI allows you to visualize 3D maps, replay scenes, and analyze robot behavior in its environment. It is an ideal tool for product evaluation and for setting up digital twins.

With the Aurora Remote SDK, developers get direct access to key data (3D point clouds, 6DOF pose, dense depth, object segmentation) via C++, ROS1/ROS2, and Python. This accelerates the implementation of navigation, semantic mapping, scene reconstruction, or 3DGS pipelines.

Main features

Aurora S integrates Slamtec’s proprietary AI vSLAM engine and a hardware-synchronized multi-sensor architecture for robust perception in complex environments.

  • Deep learning vSLAM for real-time 3D mapping and localization
  • High-precision 6DOF localization and global relocalization (± 5 cm)
  • Dense depth based on deep learning, robust in strong light and low-texture scenes (> 90% detection)
  • AI-based object segmentation: 18 outdoor scenes and 80 indoor scenes, extensible
  • Optional 2D LiDAR fusion for high-resolution 2D mapping
  • Compact, plug-and-play design with no external dependencies

Technical specifications of the Aurora S 

  • Max. mapping area: > 1,000,000 m²
  • Global relocalization: accuracy ± 5 cm, incremental mapping, map loading/saving
  • SLAM mode: deep learning vSLAM, optional LiDAR fusion, hardware multi-sensor synchronization
  • Cameras: fisheye stereo, 60 mm baseline, 180° FOV, global shutter, RGB
  • Frame rate: 15 Hz typical (10 / 30 Hz customizable)
  • AI & depth: deep learning dense depth, > 90% detection rate
  • Segmentation: 18 outdoor scenes and 80 indoor scenes, extensible
  • 2D LiDAR (option): range up to 40 m @ 70% reflectivity, map resolution 2 / 5 / 10 cm, recommended tilt ≤ 30°
  • Power consumption: 10 W typical (without LiDAR)
  • Operating temperature: −20 °C to +50 °C, storage −20 °C to +60 °C
  • Power supply: DC 9–24 V (XT30PW-M connector) or USB Type-C (USB PD 3.0)
  • Interfaces: USB 3.1 Gen1 OTG, Gigabit Ethernet (1000BASE-T, default IP 192.168.11.1), LiDAR extension I/O, TF card slot for logs

Slamtec Aurora S resources

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