Max Robotics — Global Service Robot Directory + US Certification

About

Yifan Duan is a robotics and autonomous systems researcher whose work spans simultaneous localization and mapping (SLAM), multimodal sensor fusion, robot navigation, and robotic manipulation. His research addresses fundamental challenges in enabling robots and autonomous vehicles to perceive, map, and navigate complex real-world environments efficiently and accurately. Among his most notable contributions is PFilter (2022, 25 citations), a LiDAR-based SLAM system that leverages feature filtering to build persistent maps while maintaining high accuracy under limited computational resources. Building on sensor fusion themes, his MM-Gaussian framework (2024, 16 citations) advances the field by integrating LiDAR and camera data within a 3D Gaussian representation for robust localization and reconstruction in unbounded outdoor scenes. His LDP planner (2024, 11 citations) demonstrates expertise in robot navigation, applying conditional diffusion models to handle dynamic obstacles and complex environments. He also contributed the USTC FLICAR dataset (2023, 9 citations), a valuable multimodal benchmark supporting heavy-duty aerial work robot research. Earlier work on robotic grasping in cluttered environments reflects the breadth of his contributions across the robotics pipeline. Collectively, his publications have accumulated over 70 citations, establishing him as a promising voice in intelligent robotics research.