Minmin Zhuo
Papers
1
Total Citations
9
H-Index
1
About
Minmin Zhuo is a rising researcher in intelligent transportation and autonomous systems, with a primary focus on pedestrian behavior modeling and trajectory prediction. Her most cited work, "Multimodal Pedestrian Trajectory Prediction Based on Relative Interactive Spatial-Temporal Graph" (2022), addresses a critical challenge in autonomous navigation: accurately forecasting the inherently random movements of pedestrians in crowded environments. Zhuo’s key contribution lies in developing a novel graph-based framework that captures both spatial interactions between pedestrians and temporal dynamics of their motion, enabling more reliable multimodal predictions. This work has garnered 9 citations, establishing her as an emerging voice in the field. Her research is particularly impactful for autonomous vehicles and mobile robots, where understanding pedestrian intentions is essential for safe and efficient operation. By modeling the complex, interactive nature of human movement, Zhuo is helping bridge the gap between current navigation systems and the nuanced reality of crowded urban spaces. Her work represents a significant step toward more socially aware and responsive autonomous agents.
Research Focus
Key Achievements
Top Papers
- 1