Zakwan Skaf
Papers
1
Total Citations
3
H-Index
1
About
Zakwan Skaf is a researcher whose work sits at the intersection of robotics, aviation, and industrial inspection. His key research areas include autonomous systems, robotic manipulation, and non-destructive testing—fields where he has made focused contributions to improving safety and efficiency in aircraft maintenance. Skaf is best known for his comprehensive review of robotic systems for aircraft inspection, a 2020 paper that synthesizes decades of technological development and identifies critical gaps in current automation approaches. This work has accumulated 3 citations, serving as a foundational reference for engineers and academics exploring the use of drones, crawlers, and articulated arms for inspecting airframes and engines. His contribution lies in mapping the landscape of existing robotic solutions, from sensor integration to path planning, and highlighting the challenges of real-world deployment in constrained, safety-critical environments. Skaf’s research is particularly notable for bridging mechanical engineering with computer science, offering a roadmap for future innovations that could reduce human error and downtime in aviation. For students and researchers entering the field of automated inspection, Skaf’s work provides a clear, structured entry point into a rapidly evolving domain.
Research Focus
Key Achievements
Top Papers
- 1Review of Robotic Systems for Aircraft Inspection3 citations · 2020