Kaouther Moussa

Centre National de la Recherche Scientifique

Papers

2

Total Citations

6

H-Index

2

About

Kaouther Moussa is a researcher advancing the frontiers of robotics and control systems, with a focus on assistive technologies and multi-agent coordination. Her work in rehabilitation robotics tackles the critical challenge of human–robot interaction, where she developed an LMI-based convex control strategy for estimating human torque in assistive devices. This contribution is pivotal for designing safer, more responsive rehabilitation robots that adapt to patient needs, addressing the growing demand for robotic solutions in motor impairment therapy. In parallel, Moussa has made significant strides in multi-robot systems, proposing a distributed finite-time coverage control method for multi-quadrotor networks. Her approach handles both fixed and switching communication topologies, ensuring robust and rapid area coverage—a key requirement for applications like search-and-rescue and environmental monitoring. With her work published in 2023–2024 and already garnering citations, Moussa’s research demonstrates practical impact at the intersection of control theory, robotics, and healthcare. Her dual focus on human-centric rehabilitation and autonomous swarm coordination marks her as a versatile contributor to modern robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Human Torque Estimation for an LMI-Based Convex Control Rehabilitation Strategy Using Assistive Robots
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Centre National de la Recherche Scientifique

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago