Yiran Shan
Papers
1
Total Citations
3
H-Index
1
About
Dr. Yiran Shan is a rising researcher in autonomous robotics, with a primary focus on intelligent path planning and obstacle avoidance in complex, three-dimensional environments. Her most cited work introduces a groundbreaking adaptation of the Vector Field Histogram* (VFH*) algorithm for underwater robotics, addressing the critical challenge of navigating subsea terrains where traditional planar methods fail. By enhancing VFH* to handle vertical and depth-varying obstacles, Dr. Shan’s algorithm provides a robust, real-time solution for autonomous underwater vehicles (AUVs) to safely traverse cluttered, dynamic spaces. This contribution, published in 2024, has already garnered 3 citations, signaling its early impact in the field. Her research bridges the gap between classical obstacle avoidance techniques and the unique demands of marine exploration, offering a scalable framework for applications in environmental monitoring, offshore infrastructure inspection, and deep-sea surveying. Dr. Shan’s work represents a significant step toward more reliable, autonomous navigation in one of Earth’s most challenging domains, positioning her as a promising innovator in spatial robotics.
Research Focus
Key Achievements
Top Papers
- 1