Slamtec Aurora S AI vSLAM 6DOF Spatial Perception and Depth Sensor
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Slamtec Aurora S AI vSLAM 6DOF Spatial Perception and Depth Sensor
SLAMTEC Aurora S is an integrated AI visual-inertial perception system combining stereo fisheye cameras, an IMU and onboard deep-learning vSLAM. It supplies 6DOF pose, dense depth and semantic perception for robots and spatial-computing applications.
Its 60 mm stereo baseline, 180-degree field of view and global-shutter RGB cameras support wide-angle environmental observation. LiDAR fusion is an optional expansion, not a built-in laser scanner included in the base Aurora S module.
Aurora Remote visualization tools and SDKs support evaluation and application development. Developers can connect mapping, pose and supported perception outputs to a host application without implementing the complete sensor-fusion pipeline from scratch.
Features
- Integrated 6DOF perception - Combines visual and inertial sensing with deep-learning vSLAM and optional LiDAR expansion.
- Wide-angle stereo cameras - 180-degree fisheye field of view and a 60 mm baseline provide broad visual coverage.
- Hardware synchronization - Hardware-level synchronization aligns the supported sensor streams for the onboard estimation pipeline.
- Large-area map management - Supports more than 1,000,000 m² maximum mapping area, map continuation, loading and saving.
- Global relocalization - Supports recovery of localization within a mapped environment; the Aurora S datasheet lists ±5 cm relocalization accuracy.
- Rich perception outputs - Dense depth and object segmentation support semantic mapping and reconstruction workflows.
- Developer toolchain - Aurora Remote SDK and ROS integration support visualization, data access and customized software.
- Power and interface design - USB-C supports PD3.0 power input; the XT30 power connection accepts 9-24 V DC.
- Application-focused form factor - 26 × 84.8 × 98 mm and 238 g for compact robot integration.



Specifications
| Parameter | Value |
|---|---|
| Model | Aurora S |
| Architecture | Stereo cameras + IMU + onboard AI vSLAM; optional LiDAR |
| Pose output | Six degrees of freedom (6DOF) |
| Maximum mapping area | More than 1,000,000 m² |
| Relocalization | Global relocalization; ±5 cm specified |
| Map management | Continuation, loading and saving |
| Synchronization | Hardware time synchronization |
| Camera | Stereo fisheye; 60 mm baseline; 180° FOV; global shutter; RGB |
| Camera frame rate | 15 Hz typical; customized 10/30 Hz |
| 2D grid resolution | 2 / 5 / 10 cm, with optional LiDAR |
| LiDAR maximum range | Optional LiDAR: up to 40 m at 70% reflectivity |
| Dense depth / segmentation | Deep-learning stereo depth and object segmentation |
| Power input | XT30: 9-24 V DC; USB-C PD3.0 power input |
| Typical power | 10 W excluding optional LiDAR |
| Data connections | Gigabit Ethernet, USB 3.1 Gen1 OTG, 6-pin LiDAR expansion |
| Dimensions / weight | 26 × 84.8 × 98 mm / 238 g |
| Operating temperature | -20 to +50 °C |
| 2D mapping inclination | For better 2D mapping with LiDAR, keep tilt within 30°; no specified tilt restriction without LiDAR |
| Startup / storage temperature | Startup ≥0 °C; storage -20 to +60 °C |
| Semantic recognition | Official specification lists 18 outdoor and 80 indoor scene categories; customization available |
| Storage expansion | TF card slot for logs |
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

Visual Feature Tracking Research
Inspect the manufacturer's visual-feature demonstration to understand the image information used by the AI vSLAM pipeline. Use recorded data and pose quality to evaluate your own environment rather than assuming the demonstration guarantees identical performance.

Visual-Inertial Mapping Evaluation
Use the official mapping demonstration as a starting point for testing trajectory consistency and relocalization. Compare the generated map and pose behavior across representative lighting, texture and camera-motion conditions.

Portable Spatial Capture
Integrate Aurora S into a supported handheld fixture for room-scale reconstruction and spatial-data collection. Validate movement, lighting and power stability when building an application around dense depth or point-cloud outputs.

Embodied AI and Robot Dogs
Provide visual-inertial pose and depth to a robot application that needs environmental awareness. Calibrate the sensor-to-body transform and test motion blur, occlusion and rapid body movement on the actual platform.
Industrial Automation and Semantic Mapping
Combine supported depth and segmentation outputs to enrich scene models in factories or logistics areas. Verify the available semantic classes and firmware capabilities before using them for task-specific perception decisions.
Digital Twins and Research Software
Use the SDK to capture data for reconstruction, visualization and experimental spatial workflows. Host-side tools, data registration and application logic remain part of the overall solution; the sensor alone is not a finished digital-twin application.
Reference Documents
Manuals and Specifications
Software and Development
Packing List
| SKU | Item | Quantity |
|---|---|---|
Slamtec-Aurora-S
|
Slamtec Aurora-S AI Spatial Perception Sensor | 1 |
FAQ
How does this model perform localization?
It primarily uses deep-learning visual-inertial SLAM, with optional LiDAR fusion.
Is a lidar built into this model?
No. The base Aurora S is visual-inertial, and LiDAR is an optional expansion.
What is the camera configuration?
Stereo fisheye global-shutter cameras with a 60 mm baseline and 180-degree FOV. Aurora S provides RGB images with 15 Hz typical camera rate.
Can maps be saved and continued?
Yes. The system supports map loading, saving, continuation and global relocalization, subject to the supported toolchain and configuration.
Does it provide a 2D map?
With the optional LiDAR configuration, adjustable 2 / 5 / 10 cm grid mapping is available.
Can I power it through USB-C?
Aurora S supports USB PD3.0 input through USB-C, or 9-24 V DC through its specified XT30 power connection.
Which software can I use?
Use Aurora Remote visualization software and the official Remote SDK. ROS integration is available, but not every specialized Aurora SDK feature is exposed by a ROS wrapper.
Can it operate outside?
It supports indoor and outdoor perception, within the specified temperature and optical operating conditions. Test lighting, weak textures, motion and localization quality in the actual environment; outdoor capability does not imply a waterproof enclosure.
What is included?
Slamtec Aurora-S AI Spatial Perception Sensor: 1 unit. Refer to the Packing List for this listing's included hardware.
Is this a complete autonomous robot controller?
No. It is a mapping and perception system. Navigation policies, actuation, communications supervision and required safety functions remain part of the host robot or application.
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