Xiaoyi Che

Hunan University of Arts and Science

Papers

2

Total Citations

4

H-Index

2

About

Xiaoyi Che is a researcher specializing in robotics, nonlinear dynamics, and chaos theory, with a particular focus on the forward displacement problem in parallel robot mechanisms. Their major contributions lie in developing innovative mathematical approaches to solve the highly complex, strongly coupled nonlinear equations that arise in parallel robotics—a challenge that has long hindered accurate kinematic analysis. Che pioneered the use of chaos-based algorithms, including hyper-chaos and chaos anti-control methods, to transform and solve these forward displacement problems, offering solutions where traditional methods often yield only a single result or fail entirely. While their most-cited works, such as "LMF Algorithm Based on Hyper-Chaos for the Solving of Forward Displacement in a Parallel Robot Mechanism" (2013) and "Mathematical Programming Method Based on Chaos Anti-Control for the Solution of Forward Displacement of Parallel Robot Mechanisms" (2013), each hold 2 citations, these papers represent foundational steps in applying chaotic dynamics to mechanical engineering. Che’s work bridges nonlinear mathematics and practical robotics, providing a novel toolkit for researchers tackling multi-solution problems in mechanism design and control. Their research continues to inspire those seeking to harness chaos for precision engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
LMF Algorithm Based on Hyper-Chaos for the Solving of Forward Displacement in a Parallel Robot Mechanism
2 citations · 2013
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Hunan University of Arts and Science

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago