End-to-End Visual Localization Platform for Spatial AI
The world’s first vision-only localization product capable of building and continuously updating its own maps across indoor and outdoor environments, built on an end-to-end architecture comparable to Tesla FSD.
The platform uses deep learning-based 6-DoF visual pose estimation to deliver centimeter-level localization accuracy. Its complete algorithm pipeline runs as a closed loop at the edge and can be deployed across a wide range of robots and unmanned aerial vehicles, providing reliable spatial localization for embodied AI systems in diverse environments.
Integrated Perception and Planning System for Real-Time Autonomous Motion Planning
A core navigation and decision-making system purpose-built for embodied robots, integrating environmental perception and path planning into a single pipeline.
Using obstacle-avoidance models built on centimeter-level spatial AI data, the system identifies both static and moving obstacles in real time. It computes optimal paths and smooths trajectories in milliseconds, enabling precise dynamic obstacle avoidance in complex environments.
Spatial AI Data Acquisition Platform Powered Entirely by Dedicated AI Compute
The platform converts fine-grained human motion trajectories and force feedback into kinematic features that robots can interpret. Backed by a proprietary dataset containing tens of millions of real-world household action samples, its integrated hardware design minimizes motion-retargeting error and supports the learning of complex, multi-step skills.
This substantially improves robot task performance and generalization in unfamiliar environments.