The SLAMTEC Aurora S is a next-generation AI-integrated spatial perception system that combines visual perception, inertial navigation, and SLAMTEC’s proprietary deep learning vSLAM technology. With its compact design, high integration, and plug-and-play functionality, it enables high-precision 3D mapping, perception, and spatial positioning in both indoor and outdoor environments. It is widely applicable in embodied intelligence, industrial automation, digital twins, and low-speed autonomous driving. Features Core Features SLAMTEC AI Deep Learning Engine for superior processing Provides real-time indoor and outdoor 3D mapping and positioning capabilities 6DOF Spatial Localization: Delivers high-precision real-time position and attitude data End-to-End Stereo Depth Estimation: Generates dense depth data in real time AI Object Recognition and Segmentation: Produces real-time object segmentation maps Expandable LiDAR Support: Compatible with higher-precision 2D mapping Supporting Software & Development Resources Equipped with Aurora Remote UI customized interaction software for scene reconstruction and digital twin implementation Comprehensive Aurora Remote SDK available, supporting C++, ROS1/ROS2, and Python Enables rapid secondary development, custom application building, and accelerated downstream product deployment Feature Overview AI Deep Learning vSLAM Engine Integrated design with compact form factor Out-of-the-box functionality with no external dependencies Indoor/outdoor versatility with strong environmental adaptability Technical Specifications Core Parameter Specific Specification Maximum Mapping Area >1,000,000 m² Relocalization Supports global relocalization, accuracy ±5cm Map Management Supports map continuation, loading and saving Mapping & Localization Mode Primarily based on deep learning vSLAM, compatible with LiDAR fusion Multi-Sensor Synchronization Hardware time synchronization Camera Specification Binocular fisheye, 60mm baseline, FOV 180°, global shutter, RGB Camera Frame Rate Typical 15Hz, 10/30Hz customizable Dense Depth Camera Function Adopts end-to-end deep learning solution; supports strong light & weak texture; detection rate >90% AI Object Recognition Supports 18 outdoor and 80 indoor scenes; expandable on demand 2D Map Resolution (with LiDAR) Adjustable: 2cm/5cm/10cm LiDAR Measurement Distance Maximum distance: 40m @70% reflectivity Power Consumption 10W (typical), excluding LiDAR Operating Temperature -20°C ~ 50°C Hardware Overview No. Category Specification Parameter/Description 1 Power Input XT30PW-M DC 9~24V 2 Power Input USB Type-C Supports USB PD3.0 protocol 3 Expansion Port USB 3.1 Gen1 Supports OTG mode (Device/Host) 4 I/O Port SH1.0-6PWB Used for LiDAR connection 5 Data Port Ethernet RJ-45 Gigabit Ethernet (1000BASE-T) Application Scenarios Technical Documents Aurora_S_Datasheet.pdf Aurora_S_User_Manual.pdf Official SLAMTEC Support & SDK Part List Aurora S A2M2 Unit x1 Power Adapter x1 Accessory Kit x1 FAQ What makes Aurora S different from traditional SLAM systems? Aurora S integrates visual + inertial navigation with deep learning vSLAM, offering significantly higher precision and robustness compared to conventional laser-only or basic visual SLAM solutions. Is it suitable for high-intensity outdoor use? Yes. Aurora S is engineered for both indoor and outdoor environments, featuring strong adaptability to lighting changes and complex terrains. What development platforms are supported? The system provides full support for C++, ROS1/ROS2, and Python, making it a versatile choice for AI robotics and industrial R&D.
