Haiyong Luo

Chinese Academy of Sciences, Sichuan University

Papers

Total Citations

H-Index

About

Haiyong Luo is a leading researcher in multi-sensor fusion, state estimation, and intelligent robotics, with a focus on enabling robust autonomous navigation in complex environments. His most influential contribution is the development of **Lvio-Fusion**, a self-adaptive, tightly coupled multi-sensor fusion SLAM framework that integrates stereo cameras, IMUs, and LiDAR using an actor-critic reinforcement learning approach. This work, which has garnered over 48 citations, addresses a critical challenge in mobile robotics: dynamically adjusting sensor fusion strategies to maintain accurate state estimation when individual sensors degrade in varying conditions. Luo’s framework represents a significant advance over traditional fixed-weight fusion methods, offering enhanced robustness and adaptability for real-world deployment. Beyond SLAM, he has also contributed to agricultural robotics, notably developing intelligent identification and positioning methods for watermelon picking in natural scenes, tackling low recognition rates and positioning accuracy. His research bridges theoretical innovation with practical application, making him a key figure in the advancement of autonomous systems for both industrial and agricultural domains.