LiDAR, stereo vision, and IMU fusion with AI deep learning, supports ultra-large mapping areas, ready to use at startup
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Compact 26×85×98mm form factor with built-in computing power, pixel-level semantic understanding, designed for embodied intelligence
Learn MoreThe Aurora Spatial Perception System is designed for applications that require high levels of perception stability, real-time performance, and integration efficiency. It continuously delivers high-quality 3D spatial information, providing a reliable perception foundation for robotic and automated systems.
In the field of embodied intelligence, Aurora serves as a core visual perception module for platforms such as humanoid robots and quadruped robots. It enables stable understanding of surrounding spatial structures and obstacles, supporting locomotion, obstacle avoidance, and interactive behaviors in complex environments.
In outdoor and unstructured environments, Aurora has been applied to equipment such as robotic lawn mowers and agricultural robots. It helps systems maintain reliable spatial perception under challenging conditions, including significant lighting changes and uneven terrain, improving overall operational robustness.
For industrial automation scenarios, Aurora enhances the environmental understanding and spatial awareness of AGVs and AMRs operating in dynamic factory settings, enabling more flexible path planning and motion decision-making.
Aurora is also well suited for 3D scene reconstruction and digital twin applications. It efficiently captures real-world spatial data for 3D modeling, simulation, and training data generation. In low-speed autonomous scenarios such as campus logistics and security patrols, Aurora provides continuous and stable spatial perception input, reducing system integration and deployment complexity.
Yes. The Aurora S supports hot-swappable external RPLIDAR S2 and S3 for 2D synchronous mapping, which must be installed in a horizontal orientation.
Yes. Aurora provides comprehensive development tools and SDKs, including C++, ROS, Python, with support for Windows, Linux, and MacOS platforms.
Standard depth cameras only provide raw depth data or point clouds and typically rely on external computing resources for tasks such as localization, mapping, or environmental understanding, serving primarily as perception data acquisition devices. Aurora series integrates spatial perception and computing capabilities on the sensor, directly outputting localization and map results, reducing dependence on external computing platforms and making it better suited for rapid deployment and long-term stable operation.
Aurora can be integrated as an independent spatial perception module into existing systems, providing localization and environmental data through its interfaces.
By default, Aurora operates at 15 fps, suitable for most fast-moving scenarios such as UAVs or high-speed robotics. It can be customized to 30 fps if required.
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