Papers

2

Total Citations

5

H-Index

2

About

Ruijuan Zhao is a robotics researcher specializing in adaptive motion planning and morphological control for heavy-duty robotic systems in nuclear fusion environments. Her work centers on the CFETR multipurpose overload robot (CMOR), a critical component of China’s Fusion Engineering Test Reactor remote handling system. Zhao’s major contributions include developing an iterative tractrix-based adaptive motion planning framework that enables precise navigation in constrained, high-radiation spaces, and pioneering predictive control methods for accurately modeling structural deformation and stress characteristics during robot motion. Her research bridges kinematic modeling with real-time control to ensure safe, reliable operation under extreme loads. With her most-cited papers from 2023 and 2024 already accumulating citations, Zhao’s work is gaining recognition in the fusion robotics community. Her achievements are notable for addressing one of the most challenging problems in remote handling—maintaining accuracy while managing significant mechanical deformation—making her a rising expert in the intersection of robotics, nuclear engineering, and adaptive control systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive motion planning for CFETR multipurpose overload robot based on iterative tractrix
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Second Artillery General Hospital of Chinese People's Liberation Army, National Defence Academy

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago