Liangwei Xu
Papers
1
Total Citations
9
H-Index
1
About
Liangwei Xu is a robotics researcher whose work centers on whole-body control and learning-based locomotion for quadruped robots. His most notable contribution is the development of a framework that enables robots to mimic the running styles of real animals, bridging the gap between biological movement and robotic actuation. In his highly cited paper, "Run Like a Dog," Xu introduces a hierarchical control system: a high-level neural network generates motion references, while a low-level controller based on multi-rigid body dynamics computes precise joint torques. This approach allows for fluid, natural gait transitions and style transfer, moving beyond traditional stiff locomotion. With 9 citations, this work has influenced the field of bio-inspired robotics, demonstrating how learning-based methods can achieve expressive, animal-like movement in machines. Xu's research has significant implications for creating more agile and adaptable robots, particularly in applications requiring dynamic terrain navigation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1