Xun Xun

Papers

2

Total Citations

22

H-Index

2

About

Xun Xun is a researcher whose work centers on advancing robotic locomotion and human-robot interaction, with a particular focus on legged and humanoid systems. Their major contributions include pioneering novel human-tracking strategies for six-legged rescue robots, introducing both a view-priority and a distance-priority strategy specifically designed for legged platforms navigating complex terrains. This work, published in 2016 and cited 12 times, established new metrics for evaluating tracking performance and demonstrated the superiority of view-priority approaches. In earlier foundational research from 2007 (10 citations), Xun Xun applied screw theory to the kinematics analysis of a humanoid robot, providing a streamlined mathematical framework that requires only two coordinate systems—a significant simplification over traditional methods. This work also produced a more concise and readable Jacobian matrix for spatial manipulators using twist and exponential product formulas. Together, these contributions have helped bridge critical gaps in both rescue robotics and humanoid design, offering practical strategies for real-world deployment and theoretical tools for efficient kinematic analysis.

Research Focus

Key Achievements

2
H-Index
2
Papers
22
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Human-Tracking Strategies for a Six-legged Rescue Robot Based on Distance and View
12 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 13

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago