SLAMTEC Aurora S AI Spatial Perception System for ROS1/ROS2 Mapping, Navigation & 3D Reconstruction
SLAMTEC Aurora S AI Spatial Perception System for ROS1/ROS2 Mapping, Navigation & 3D Reconstruction
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Overview
SLAMTEC Aurora S is an integrated AI spatial perception system designed for embodied intelligence, providing out-of-the-box 3D perception, mapping, and semantic understanding for robotics and intelligent agents. By integrating vision, inertial navigation, and SLAMTEC’s self-developed AI-VSLAM technologies, it directly outputs mapping and positioning results and supports ROS1 and ROS2 for mapping and navigation workflows.
Aurora S is part of SLAMTEC’s Insight Series. It is positioned to lower integration and development barriers and accelerate deployment of intelligent applications.
Key Features
- Built-in algorithm computing power to directly output mapping and positioning results
- AI-VSLAM engine to meet demanding requirements
- 180° fisheye ultra-wide viewing angle color camera
- 120° ultra-wide angle binocular deep vision
- Pixel-level semantic understanding for real-time recognition of nearly 100 objects
- Multimodal deep fusion to easily build semantic maps
- One-click high-precision 3D reconstruction, with support for various 3DGS solutions
- Designed for embodied intelligence; seamless integration with various VLA/VLN training systems
- Highly open platform; supports multiple SDKs including C++ and ROS1/ROS2
- Real-time loop closure correction and accurate, reliable re-localization; built-in online map loop closure detection and re-localization capabilities, requiring no external computing power; automatically corrects mapping errors
- Plug-and-play; no external dependencies required
Outputs and Mapping Capabilities
- 3D point cloud map
- 6DoF spatial positioning
- Dense depth map
- Object segmentation map
- Semantic map construction
- Directly outputs a 3D shaded point cloud
- PhotoReal Map (Aurora-built dense texture maps)
- Real-time AI object recognition and semantic segmentation
Specifications
| Product | SLAMTEC Aurora S (Integrated AI spatial perception system) |
| Color camera viewing angle | 180° (fisheye, ultra-wide viewing angle) |
| Binocular deep vision | 120° (ultra-wide angle) |
| Field of view | Up to 120° ultra-wide field of view; HFOV 120° |
| Frame rate | 15FPS |
| Semantic recognition | Real-time recognition of nearly 100 objects |
| Power options | DC9-24V power or USB Type-C PD 3.0 |
| Wired interface (shown) | Ethernet |
| SDK / Software support (shown) | C++, ROS1, ROS2 |
Documents
Tutorials:SLAMTEC AuroraS
For integration help or pre-sales questions, contact support@rcdrone.top or visit https://rcdrone.top/.
Details
Aurora S fits common ROS robot platforms for faster bring-up in mapping and navigation projects.
Aurora S combines sensing and onboard computing to deliver ready-to-use spatial perception for robots and agents.
Core capabilities include onboard AI‑VSLAM, ultra-wide vision, dense depth, semantic understanding, and open SDK access.
A compact, self-contained module designed to output mapping and positioning results directly.
Native support for ROS1 and ROS2 helps slot Aurora S into existing mapping and navigation stacks.
Onboard processing produces outputs like 6DoF pose, point clouds, depth maps, and segmentation without extra compute.
PhotoReal Map adds dense texture mapping for more readable, photorealistic scene reconstruction.
AI‑VSLAM is built to stay robust in challenging environments where conventional feature extraction can struggle.
Improved anti-interference performance supports more stable tracking and mapping in complex conditions.
Real-time loop closure and re-localization automatically correct drift to keep maps consistent.
Dense depth output aligns with RGB data to support reliable obstacle understanding and 3D reconstruction.
Generate shaded 3D point clouds while maintaining a wide field of view for indoor navigation and scanning.
Pixel-level semantic segmentation enables real-time recognition for building higher-level semantic maps.
Semantic map construction labels objects in the environment to support smarter planning and interaction.
Simple wiring and flexible power options make deployment easier for prototypes and field robots.
A highly open platform with ROS and SDK options helps connect Aurora S to existing tools and pipelines.
A Windows client supports visualization and debugging of trajectories and point-cloud results during development.
Broad hardware compatibility supports deployment across SBCs, edge AI boards, and industrial computers.
ROS1 and ROS2 SDK examples help you visualize binocular-camera feature points and review mapping results with pre-configured launch files.
The SLAMTEC Aurora S spatial perception system is suited to platforms such as humanoid robots, robot dogs, outdoor robots, AGV/AMR industrial automation, digital twins, and low-speed autonomous driving.
SLAMTEC Aurora S comes with a tutorial link plus organized basic course, ROS course, and documentation files for setup and learning.
Aurora series specs cover maximum mapping area, global relocalization accuracy, multi-sensor time sync, and camera/LiDAR options for robotics mapping and navigation.
The SLAMTEC Aurora S housing measures 98 × 80.5 mm with a 238 g net weight and includes MAX5 screw mounting holes for integration.
The package includes the Aurora S A2M2 unit and a power adapter for quick power-up during setup.
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