Yiting Zhang
Papers
1
Total Citations
5
H-Index
1
About
Yiting Zhang is a leading researcher in underwater robotics and autonomous perception systems, with a focus on advancing simulation technologies for challenging marine environments. Their most notable contribution is the development of **OceanSim**, a GPU-accelerated underwater robot perception simulation framework (2025, 5 citations), which addresses critical gaps in physics-based sensor modeling for underwater scenarios. This work provides a robust platform for testing and validating perception algorithms, enabling more reliable autonomous operations in real-world underwater conditions. Zhang’s research bridges the gap between simulation and reality, offering significant improvements in sensor fidelity and computational efficiency. Their contributions are particularly impactful for applications in marine exploration, environmental monitoring, and offshore infrastructure inspection. With a growing citation record, Zhang is recognized for pushing the boundaries of underwater robotics through innovative simulation tools that accelerate the development of resilient perception solutions. Their work continues to inspire new approaches to autonomous systems in complex, unstructured underwater environments.
Research Focus
Key Achievements
Top Papers
- 1