A New Era Of Mapping And Localization Solution

Provides product manual, user manual, and SDK development package that can run on different platforms, supports ROS and ROS2 operating systems, helping users to develop and integrate across various operating systems and architectures

integrated LiDAR, vision, IMU, and deep learning to create a cutting-edge, all-in-one localization and mapping sensor

Aurora can accurately extract concise features from complex environments, and build a mapping framework with smooth lines and clear edges

Thanks to the high spatial positioning capabilities of deep learning, Aurora can always capture millisecond-level positions even in the face of high-speed rotation or unexpected acceleration, maintaining stability as always

Aurora can effectively eliminate interference in the undulating grassland environment, keenly perceive every subtle feature, and continuously output high-quality positioning and mapping data

provides complete 3D, 6 DOF spatial positioning capabilities, with no external dependencies, ready to work when powered on

In the era of embodied intelligence, Aurora is a great partner for humanoid robots and multi-legged robotic dogs, capable of handling complex environments and terrains both indoors and outdoors

Aurora can maintain stable mapping and positioning even in high-speed motion environments, delivers outstanding performance even in the dark

The inner ring road of Shanghai is 47.7 km long and encloses an area of 120 square kilometers. Aurora can achieve complete mapping and closure

Using onboard LiDAR, Aurora synchronizes the output of high-precision top-down 2D laser grid maps, facilitating the rapid migration of existing navigation algorithms to 3D environments

Whether integrated into small robots or large systems, it easily adapts, becoming the ideal partner for embodied intelligence solutions

* for reference only, please refer to the Package Content for the detailed part list.

Aurora is incredibly easy to operate, no external dependencies required, ready to use when powered on, just three steps to integrate into robots: Step 1, install; Step 2, power on; Step 3, start collecting data

* for reference only, please refer to the Package Content for the detailed part list.