The Slamtec Aurora-S is a fully integrated AI spatial perception system for embodied intelligence, industrial automation, digital twins, semantic mapping, and outdoor robotic perception. It combines AI deep-learning VSLAM, stereo fisheye vision, dense depth, semantic recognition, and expandable SDK workflows in a compact module. Aurora-S is designed to provide high-precision 3D perception and semantic understanding without requiring teams to build the full perception stack from scratch. Slamtec lists AI deep-learning VSLAM as the primary localization mode, optional LiDAR fusion, more than 1,000,000 m2 maximum mapping area, and support for ROS1/ROS2, C++, and Python workflows. Features AI deep-learning VSLAM - Uses Slamtec self-developed AI-VSLAM as the primary mapping and localization mode. Dense 3D spatial perception - Supports stereo depth estimation and dense textured mapping for richer spatial outputs. Semantic understanding - Supports 18 outdoor scenarios plus 80 indoor object types, customizable upon request. Large-scale mapping - Official specifications list maximum mapping area greater than 1,000,000 m2. Stereo fisheye global camera - Uses 60 mm baseline, 180-degree FOV, global shutter, and RGB camera output. Open SDK workflows - Supports SDKs including C++, ROS1/ROS2, and Python. Compact sensor body - Listed at 26 x 84.8 x 98 mm and 238 g for robot integration. Specifications Parameter Value Brand Slamtec Model Aurora S / Aurora-S SKU Slamtec-Aurora-S Product type Fully integrated AI spatial perception system Mapping and localization mode AI deep-learning VSLAM as primary mode, optional LiDAR fusion Maximum mapping area >1,000,000 m2 Relocation Supports entire relocation, accuracy ±5 cm Map management Supports mapping continuation, loading, and saving Multi-sensor synchronization Hardware-level time synchronization Camera specifications Stereo fisheye, 60 mm baseline, FOV 180°, global shutter, RGB Camera frame rate 15 Hz typical, customizable 10 Hz / 30 Hz Dense depth camera capability End-to-end deep learning; >90% detection rate; works in strong light and weak texture environments AI object recognition and segmentation Supports 18 outdoor scenarios plus 80 indoor scenarios, customizable upon request Power consumption 10 W typical, excluding LiDAR Operating temperature -20°C - 50°C Startup temperature >=0°C Storage temperature -20°C - 60°C Size and weight 26 x 84.8 x 98 mm, 238 g Product Visuals Aurora-S compact AI spatial perception sensor Angled product view for robot integration Interface-side view for installation planning Aurora-S spatial perception product render Indoor robotic perception scenario Embodied intelligence robot application scene Reference Documents Slamtec Aurora-S Official Overview Slamtec Aurora-S Specifications Slamtec Aurora-S Support Downloads Applications Embodied AI robots - Use AI spatial perception for robots that need 3D mapping, localization, and scene understanding. Industrial automation - Add robust perception in factories, logistics spaces, and automation cells. Digital twins - Create dense textured spatial data for reconstruction and environment modeling. Semantic mapping - Combine geometry and semantic labels for richer robot navigation data. Outdoor mapping - Use deep-learning VSLAM in challenging outdoor scenes and weak-texture environments. Research platforms - Integrate through open SDK workflows including C++, ROS1/ROS2, and Python. Packing List Item Quantity Slamtec Aurora-S AI Spatial Perception Sensor 1 FAQ .faq-accordion details { border-bottom: 1px solid #e6eef8; padding: 14px 0; } .faq-accordion summary { list-style: none; cursor: pointer; font-size: 16px; font-weight: 700; color: #1f2933; position: relative; padding-right: 32px; } .faq-accordion summary::-webkit-details-marker { display: none; } .faq-accordion summary::after { content: "\203A"; position: absolute; right: 4px; top: 50%; transform: translateY(-50%) rotate(90deg); color: #007fff; font-size: 28px; line-height: 1; transition: transform 0.2s ease; } .faq-accordion details[open] summary::after { transform: translateY(-50%) rotate(270deg); } .faq-accordion p { margin: 12px 0 0; color: #4b5563; line-height: 1.65; } What is Aurora-S designed for?Aurora-S is designed for AI spatial perception, 3D mapping, localization, dense depth, and semantic understanding. What localization mode does it use?The official spec lists AI deep-learning VSLAM as the primary mode, with optional LiDAR fusion. What camera system is listed?The official spec lists stereo fisheye cameras with 60 mm baseline, 180-degree FOV, global shutter, and RGB. Does it support semantic recognition?Yes. Slamtec lists support for 18 outdoor scenarios plus 80 indoor scenarios, customizable upon request. What is the operating temperature?The official spec lists -20 C to 50 C operating temperature. Why is there no video module in this revision?The previously used YouTube embed could not be verified reliably during this update, so the latest description keeps only verified content. What is included in the packing list?The confirmed packing list for this listing includes one Slamtec Aurora-S AI Spatial Perception Sensor.
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