Zhao‐Dong Xu

Southeast University, Western Sydney University

Papers

5

Total Citations

29

H-Index

3

About

Zhao-Dong Xu is a robotics researcher whose work centers on the design, locomotion control, and intelligent systems of legged robots, with a particular focus on hexapod platforms engineered for lunar exploration. His most significant contributions lie in advancing robotic mobility across challenging extraterrestrial terrains, addressing real-world constraints such as the adhesive and corrosive properties of lunar soil, surface instability, and the limitations of conventional gait strategies. Xu's 2023 paper on improved triangular gait planning for lunar hexapod robots — his most cited work with 14 citations — introduced a hollow-legged robot design that substantially improves walking speed and surface adaptability beyond traditional tripod approaches. Complementing this, his research on axial flux permanent magnet motor control and Central Pattern Generator-based gait modeling reflects a comprehensive systems-level approach, integrating mechanical design with robust and biologically inspired control strategies. His earlier work on fuzzy impedance control for industrial robotic applications in aircraft manufacturing demonstrates a broader foundation in applied robotics. Though his citation counts remain modest, Xu's body of work represents a focused and growing contribution to the emerging field of planetary surface robotics, making his research particularly relevant to students and engineers working at the intersection of space exploration and autonomous systems.

Research Focus

Key Achievements

3
H-Index
5
Papers
29
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Research on the Design and Gait Planning of a Hexapod Robot Based on Improved Triangular Gait for Lunar Exploration
14 citations · 2023
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Southeast University, Western Sydney University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago