Xueheng Zhang
Papers
1
Total Citations
3
H-Index
1
About
Xueheng Zhang is a researcher whose work bridges the fields of biomechanics, human motion analysis, and robotics. His primary research focuses on bipedal locomotion and gait generation, with a particular emphasis on translating natural human movement into robotic systems. In his notable 2018 paper, "Walking Pattern Generation Using Quintic Spline Function Based on Human Motion Capture," Zhang proposed an innovative method for generating biped gait patterns by extracting and analyzing waist trajectory data from human motion capture systems. By examining the position, velocity, and acceleration curves of the human waist, he established key relationships between maximum speed and gait dynamics, enabling more natural and stable walking patterns for bipedal robots. While his citation count remains modest, Zhang’s work contributes to the growing intersection of human motion analysis and robotic control, offering practical insights for developing more human-like locomotion in machines. His research is particularly relevant for students and engineers interested in motion planning, humanoid robotics, and the application of spline-based trajectory optimization in real-world systems.
Research Focus
Key Achievements
Top Papers
- 1