Shulan Ruan
Papers
1
Total Citations
3
H-Index
1
About
Shulan Ruan is a leading researcher in embodied artificial intelligence, with a primary focus on multi-sensor fusion perception (MSFP)—a critical technology enabling machines to interpret complex environments through integrated data from cameras, LiDAR, radar, and other sensors. Their most-cited work, a comprehensive 2025 survey on MSFP for embodied AI, has already garnered 3 citations, establishing Ruan as a key voice in this rapidly evolving field. This survey systematically maps the landscape of MSFP, covering foundational methods, cutting-edge AI-driven approaches, and persistent challenges, while highlighting downstream applications such as 3D object detection, semantic segmentation, autonomous driving, and swarm robotics. Ruan’s contributions are particularly notable for bridging theoretical frameworks with practical deployment, offering researchers and engineers a unified perspective on how sensor fusion can enhance perception robustness in dynamic, real-world settings. By synthesizing recent breakthroughs and outlining future research directions, Ruan’s work serves as an essential resource for students and professionals alike, driving progress toward more reliable and intelligent embodied systems. Their research continues to shape the trajectory of autonomous perception, making Ruan a pivotal figure in the advancement of AI-driven robotics and autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1