Papers
1
Total Citations
18
H-Index
1
About
Haoyang Sang is a rising leader in energy-efficient spatial computing, with a focus on real-time simultaneous localization and mapping (SLAM) for mobile and augmented reality (AR) platforms. His most cited work, "20.8 Space-Mate: A 303.5mW Real-Time Sparse Mixture-of-Experts-Based NeRF-SLAM Processor for Mobile Spatial Computing" (2024), introduces a groundbreaking neural SLAM processor that leverages a sparse mixture-of-experts architecture to achieve high-performance 3D scene reconstruction at under 304 milliwatts. This innovation directly addresses the critical power and latency constraints of autonomous robots and AR glasses, enabling cyber-physical interaction with unprecedented efficiency. With 18 citations in under a year, Sang’s work has already garnered attention for its practical impact on mobile spatial computing. By integrating NeRF-based neural rendering with SLAM, he bridges the gap between advanced computer vision algorithms and real-world hardware deployment. Sang’s contributions are pivotal for the next generation of lightweight, always-on spatial intelligence systems, making him a key figure to watch in the field.
Research Focus
Key Achievements
Top Papers
- 1