Highly efficient and accurate 3D SLAM

The proposed solution delivers highly efficient and accurate 3D Simultaneous Localization and Mapping (SLAM), enabling robust real-time pose and spatial awareness in challenging environments. The system achieves centimeter-level accuracy, empowering autonomous navigation, augmented reality, and large-scale industrial mapping.

This capability is driven by tightly fused multi-modal sensing—integrating LiDAR, IMUs, cameras, wheel/legged encoders, and map priors—to ensure exceptional reliability in unstructured or perceptually degraded scenes. The architecture flexibility supports seamless adaptation across diverse robotic platforms. Computational efficiency is enhanced through parallelized algorithms and sparse data structures, enabling sustained real-time operation on resource-constrained edge devices. As a result, robots and devices utilizing our SLAM solution navigate complex environments with confidence, making them indispensable for various logistics. This advancement not only boosts operational autonomy but also enables safer, more intelligent decision-making in dynamic physical spaces.