Xinrui Chen
Papers
1
Total Citations
3
H-Index
1
About
Xinrui Chen is a robotics researcher specializing in bio-inspired locomotion and energy-efficient control systems for legged robots. Her primary contributions lie in the design and gait optimization of quadruped robots, with a focus on balancing stability and energy consumption—a critical challenge in autonomous robotics. In her most-cited work, "Design and Gait Optimization of Quadruped Robot Based on Energy Conservation" (2020), Chen introduced a high-dynamic-performance quadruped robot featuring a distributed control system based on Central Pattern Generators (CPG). She further advanced the field by developing an ADAMS-MATLAB joint simulation platform, enabling precise modeling of robot dynamics and control strategies. Though her citation count is currently modest at 3, her work represents foundational steps toward more efficient, nature-inspired robotic locomotion. Chen’s research has practical implications for search-and-rescue missions, exploration, and industrial automation, where energy autonomy is paramount. Her integration of CPG-based control with simulation-driven optimization highlights a promising trajectory in bio-robotics, making her a researcher to watch in the evolving landscape of intelligent, energy-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1