Zaoxing Liu
Papers
1
Total Citations
3
H-Index
1
About
Zaoxing Liu is a leading researcher in autonomous systems and 3D perception, with a primary focus on accelerating real-time spatial intelligence for robotics and augmented reality. His most influential work, "OctoCache: Caching Voxels for Accelerating 3D Occupancy Mapping in Autonomous Systems" (2025), addresses a critical bottleneck in OctoMap—the gold-standard 3D mapping framework. By introducing a novel caching mechanism for octree-based voxel structures, Liu dramatically reduces the computational overhead of updating and querying large-scale occupancy maps, enabling faster and more efficient navigation for autonomous robots. This contribution is foundational for real-time applications in AR/VR and autonomous driving, where latency directly impacts safety and user experience. With 3 citations already in its publication year, the work is gaining rapid recognition for its practical impact. Liu’s research bridges the gap between theoretical mapping algorithms and deployable systems, making him a key figure in the next generation of spatial computing. His achievements highlight a commitment to solving tangible engineering challenges, positioning him as an innovator in the intersection of robotics, computer vision, and systems optimization.
Research Focus
Key Achievements
Top Papers
- 1