Wen Nie
Papers
1
Total Citations
5
H-Index
1
About
Wen Nie is a researcher in bio-inspired robotics, with a primary focus on the locomotion control of multi-legged robots. Their most notable contribution lies in the development of central pattern generator (CPG) networks based on Hopf neural oscillators, a biologically inspired approach for generating rhythmic, coordinated leg movements. In their highly cited 2017 paper, Nie introduced a ring-type CPG network for a radially free hexapod robot, demonstrating how six coupled oscillator units can produce smooth end-trajectory signals for each leg. This work, which has garnered 5 citations, provides a foundational framework for achieving stable, adaptive gaits without complex sensor feedback. By translating neural oscillation principles from biology into robotic control, Nie has advanced the field of autonomous walking machines, offering a simpler and more robust alternative to traditional kinematic methods. Their research is particularly valuable for students and engineers interested in legged robotics, nonlinear dynamics, and the application of biological models to engineering challenges.
Research Focus
Key Achievements
Top Papers
- 1The control of a multi-legged robot based on Hopf oscillator5 citations · 2017