Pengfei Yuan
Papers
1
Total Citations
2
H-Index
1
About
Pengfei Yuan is a robotics researcher whose work centers on autonomous navigation and semantic mapping for field robotics, with a particular focus on unstructured outdoor environments. His most cited paper, "Joint Semantic-geometric Mapping of Unstructured Environment for Autonomous Mobile Robotic Sprayers" (2025), introduces a novel framework that fuses semantic labels with geometric data to enable mobile robots to safely and effectively operate in complex, natural terrains. This work is foundational for applications such as mosquito control, epidemic prevention, and disinfection, where precise environmental understanding is critical. Yuan’s contributions bridge the gap between perception and action, allowing robots to not only map their surroundings but also interpret them—distinguishing obstacles, vegetation, and targets for spraying. While his citation count is still growing, his research addresses a pressing need for autonomous systems in public health and agriculture. By integrating semantic reasoning with real-time geometric mapping, Yuan is helping to advance the next generation of intelligent, field-deployable robots that can operate reliably beyond structured indoor settings.
Research Focus
Key Achievements
Top Papers
- 1