Guanglin Lu
Papers
7
Total Citations
63
H-Index
4
About
Guanglin Lu is a leading researcher in the field of legged robotics, with a primary focus on quadruped robot locomotion, motion planning, and autonomous navigation in complex environments. His work addresses the fundamental challenge of enabling robots to traverse rugged, unstructured terrain with stability and efficiency. Lu’s major contributions include the development of a whole-body motion planning and control framework for challenging terrain (30 citations), which has become a key reference for terrain-adaptive locomotion. He also introduced the adaptive diagonal gait for efficient dynamic locomotion and advanced sim-to-real transfer techniques using deep reinforcement learning and parallel training. Notably, Lu designed a novel multi-configuration quadruped robot with redundant degrees of freedom, enhancing adaptability to uneven ground. His research integrates perception systems—combining LiDAR, cameras, and IMUs—for terrain recognition and autonomous navigation, as demonstrated in his work on visual-LiDAR fusion and Graph-SLAM-based environment awareness. With a growing citation impact and a focus on bridging simulation and real-world deployment, Lu’s work is shaping the next generation of autonomous, intelligent legged robots for outdoor and industrial applications.
Research Focus
Key Achievements
Top Papers
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- 2Efficient Dynamic Locomotion of Quadruped Robot via Adaptive Diagonal Gait12 citations · 2023
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