Papers

8

Total Citations

41

H-Index

4

About

Dr. Safanah M. Raafat is a leading researcher in robotics, with a focus on intelligent control systems, path planning, and medical robotics. Her work bridges the gap between theoretical control design and practical robotic applications, particularly in dynamic and uncertain environments. She is best known for developing robust adaptive controllers using neural networks to improve trajectory tracking in industrial robots, as demonstrated in her highly cited 2009 paper on SCARA robots. Dr. Raafat has also made significant contributions to medical robotics, designing robust interactive PID and H∞ loop shaping controllers to solve precise position tracking problems for human lower limb systems, aiding rehabilitation and assistive technologies. Her recent work on path planning introduces innovative algorithms like Bidirectional A* combined with gradient descent and orientation interpolation for enhanced global path efficiency. With over 40 citations across her most influential papers, Dr. Raafat’s research is widely recognized for its practical impact on both industrial automation and medical robotics, making her a key figure in advancing intelligent robotic systems.

Research Focus

Key Achievements

4
H-Index
8
Papers
41
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Robot Path-Planning Research Applications in Static and Dynamic Environments
10 citations · 2022
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Technology - Iraq, International Islamic University Malaysia

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago