Core Capabilities Remain Unchanged — Lighter and More Cost-Effective

Aurora S Lite retains the core capabilities of Aurora S in AI-vSLAM, 3D mapping, spatial localization, and AI-powered environmental perception. While maintaining comprehensive spatial perception capabilities, it features a more compact and lightweight industrial design, providing a more flexible, reliable, and cost-effective integration option for robots.Designed for applications such as quadruped robots, outdoor robotic lawn mowers, humanoid robots, and AMRs, Aurora S Lite combines a smaller form factor, a more stable industrial design, and a more cost-effective solution, enabling developers to efficiently integrate mature spatial perception capabilities.

Built-in Intelligence,Beyond a Sensor

Aurora S Lite integrates AI-vSLAM for full-scene 3D mapping and localization, stereo depth estimation, semantic recognition, and dedicated compute hardware.
It delivers real-time, high-quality spatial perception outputs—mapping, localization, and more—directly to the user, without the need for additional compute resources or in-house algorithm development.

A New Era of 3D Spatial Perception: Real-Time, Online Dense 3D Mapping

Dense 3D maps provide essential data for 3D spatial navigation,but traditionally, generating them has required additional computing resources and algorithms.Aurora S Lite now supports real-time, on-device generation of dense maps that can be used for navigation, further enhanced with AI semantic understanding.3D perception and navigation, all in one.

AI-vSLAM System, Built to Handle Complex Motion Challenges

Powered by SLAMTEC's proprietary deep learning-based vSLAM technology, the system handles challenging motion scenarios, including rapid rotation and abrupt changes in orientation. It delivers stable, reliable spatial localization, enabling robots to maintain precise spatial awareness during dynamic movement.

Upgraded Deep Learning System

With the latest firmware version 2.2.0, Aurora S Lite delivers a higher-accuracy depth estimation system and an upgraded AI semantic recognition engine.

Real-Time Semantic BEV (Bird's-Eye View)

By integrating an advanced depth estimation engine with AI-based semantic recognition, the system generates real-time BEV maps that combine depth and semantic information, enhancing robots' autonomous navigation and environmental perception capabilities.

Plug and Play, Easy Integration

Featuring an all-in-one design with USB Type-C PD 3.0 support,
Aurora S Lite provides robot developers with a flexible and convenient way to integrate spatial perception capabilities.

Open SDK, Flexible Integration Across Multiple Robot Platforms

Aurora S Series

Choose the Right Spatial Perception Solution for Your Robot

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