Papers

2

Total Citations

18

H-Index

2

About

Mouad Kahouadji is a robotics researcher specializing in aerial manipulation and predictive maintenance, with a focus on integrating soft robotics into autonomous systems for infrastructure monitoring. His work centers on the development of aerial robots equipped with soft-continuum manipulators, designed to perform delicate tasks such as crack detection and in-situ repair on building surfaces. His most-cited paper, "Integrated design of an aerial soft-continuum manipulator for predictive maintenance" (2022, 10 citations), introduces a remotely controlled aerial robot that can localize cracks and adaptively deposit repair materials, addressing critical needs in the construction sector. Kahouadji also contributed to "System of Robotic Systems for Crack Predictive Maintenance" (2021, 8 citations), where he explores a System of Systems Engineering (SoSE) approach using autonomous, collaborative robots to reduce the high costs of periodic maintenance in built heritage. By combining aerial robotics with soft manipulation and multi-robot coordination, his research advances efficient, non-invasive inspection and repair methods. His work is particularly impactful for students and researchers interested in the intersection of robotics, civil engineering, and autonomous systems, offering practical solutions for real-world infrastructure challenges.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Integrated design of an aerial soft-continuum manipulator for predictive maintenance
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Université de Lille, Centre de Recherche en Informatique, Signal et Automatique de Lille

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago