Slamtec Aurora S Compact 3D LiDAR AI Spatial Perception System, 6DOF, 40m Range - ROS/C++/Python SDK
The Slamtec Aurora S is a compact, integrated AI spatial perception system combining a 40m 3D LiDAR, stereo depth cameras, and an AI-VSLAM engine for high-precision 6DOF tracking, real-time 3D mapping, and semantic segmentation. It is designed for advanced robotics, autonomous vehicles, and digital twin applications, with SDK support for ROS, C++, and Python.
Features
- AI-powered VSLAM engine for real-time 3D mapping and 6DOF localization.
- Integrated 40m range 3D LiDAR and 180° fisheye RGB + 120° stereo depth cameras.
- Real-time semantic segmentation capable of recognizing over 100 object types.
- Robust SDK support including ROS1/2, C++, and Python for rapid system integration.
- Flexible power input via DC 9-24V or USB Type-C PD3.0.
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The Slamtec Aurora S integrates multiple sensing modalities into a single platform to deliver dense, photorealistic 3D reconstruction with pixel-level semantic awareness. Its core AI-VSLAM engine performs simultaneous localization and mapping without reliance on external references, providing robust performance in complex indoor and outdoor environments, including challenging terrains.
The system fuses data from its 40m LiDAR and wide-angle stereo cameras to generate real-time, high-precision 6DOF pose estimation and dense depth maps. This enables advanced robotic navigation, obstacle avoidance, and environmental interaction. The platform’s semantic mapping capability allows robots to understand and categorize objects within their operational space, facilitating higher-level decision-making and task execution.
Additional Information
| Weight | 0.238 kg |
|---|---|
| Dimensions | 8.48 cm |















