Tuyang Wang
Papers
1
Total Citations
5
H-Index
1
About
Tuyang Wang is a researcher at the forefront of acoustic sensing and robotics, specializing in simultaneous localization and mapping (SLAM) using sound. Their key research areas include acoustic SLAM, edge computing, and reflector recognition for autonomous navigation in visually degraded environments. Wang’s most notable contribution is a graph optimization-based acoustic SLAM system that achieves centimeter-level mapping accuracy by leveraging echo signals from room impulse responses (RIRs). This innovative approach enables robots to navigate and map unknown spaces without relying on cameras, using time-of-arrival (TOA) data to identify and associate reflectors. The work, published in 2021, has garnered 5 citations, reflecting its niche but growing impact in the field of robotic perception. Wang’s system stands out for its integration of edge computing, allowing real-time processing on resource-constrained devices. This achievement addresses a critical gap in SLAM technology, offering a robust solution for environments where visual sensors fail, such as dark or smoky conditions. Wang’s research promises to advance autonomous systems in search-and-rescue, industrial inspection, and beyond.
Research Focus
Key Achievements
Top Papers
- 1