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    Aurora S 3D Visual Perception System AI-Visual SLAM 3D Mapping Semantic Understanding Dedicated to Robotics Embodied Intelligence Supports ROS1/ROS2/C++ SDK

    • Aurora S deeply integrates vision, inertial navigation, and proprietary AI-Visual SLAM technology, providing plug-and-play 3D environmental perception, mapping, and semantic understanding capabilities. It supports real-time recognition of nearly 100 objects, significantly lowering the barrier to entry for developing intelligent robotic applications.
    • The built-in proprietary AI-Visual SLAM engine adapts to diverse and complex scenarios. Combining 120° ultra-wide-angle binocular depth vision with a 180° fisheye color camera, it achieves precise dense 3D reconstruction and pixel-level semantic segmentation, making it easy to build semantic maps.
    • Designed specifically for robotics and embodied intelligence applications, it supports one-click high-precision dense 3D reconstruction, is compatible with various 3DGS solutions, and seamlessly integrates with Vision Language Action (VLA) and Vision Language Navigation (VLN) training systems.
    • It offers a highly open development environment, supporting multiple SDKs including C++, ROS1, and ROS2, to meet diverse development needs. Built-in algorithms and computing power directly output mapping and positioning results, streamlining the integration process.
    • The stand-free design makes it more suitable for mounting on a robot platform. No main control is required, and all the functions of the Aurora series can be realized through software. It supports host computers and APP control on Windows and Android platforms.
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    1. Aurora S deeply integrates vision, inertial navigation, and proprietary AI-Visual SLAM technology, providing plug-and-play 3D environmental perception, mapping, and semantic understanding capabilities. It supports real-time recognition of nearly 100 objects, significantly lowering the barrier to entry for developing intelligent robotic applications.
    2. The built-in proprietary AI-Visual SLAM engine adapts to diverse and complex scenarios. Combining 120° ultra-wide-angle binocular depth vision with a 180° fisheye color camera, it achieves precise dense 3D reconstruction and pixel-level semantic segmentation, making it easy to build semantic maps.
    3. Designed specifically for robotics and embodied intelligence applications, it supports one-click high-precision dense 3D reconstruction, is compatible with various 3DGS solutions, and seamlessly integrates with Vision Language Action (VLA) and Vision Language Navigation (VLN) training systems.
    4. It offers a highly open development environment, supporting multiple SDKs including C++, ROS1, and ROS2, to meet diverse development needs. Built-in algorithms and computing power directly output mapping and positioning results, streamlining the integration process.
    5. The stand-free design makes it more suitable for mounting on a robot platform. No main control is required, and all the functions of the Aurora series can be realized through software. It supports host computers and APP control on Windows and Android platforms.


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