Papers
1
Total Citations
15
H-Index
1
About
Xupeng Liu is a researcher whose work lies at the intersection of bio-inspired robotics and nonlinear control systems, with a particular focus on the locomotion of snake-like robots. His most significant contribution to date is the development of a novel unified Central Pattern Generator (CPG) network model composed of Hopf oscillators, which enables smooth and adaptive gait control for snake robots. This work, published in 2024 and already garnering 15 citations, addresses a fundamental challenge in serpentine robotics: generating coordinated, rhythmic movements without complex, pre-programmed trajectories. By leveraging the mathematical properties of Hopf oscillators, Liu’s model allows for seamless transitions between different gaits—such as lateral undulation and sidewinding—while maintaining stability and robustness in varied environments. This innovation not only advances the theoretical understanding of CPG-based control but also holds practical promise for search-and-rescue missions and inspection tasks in confined spaces. Liu’s research is distinguished by its elegant synthesis of biological principles and engineering design, positioning him as an emerging voice in the field of soft and modular robotics.
Research Focus
Key Achievements
Top Papers
- 1