Samiha Fadloun
Papers
2
Total Citations
5
H-Index
2
About
Samiha Fadloun is a researcher at the intersection of robotics, control systems, and artificial intelligence, with key contributions to rehabilitation engineering and human-robot interaction. Her work on the iTbot, a two-degree-of-freedom intelligent therapeutic robot for upper limb rehabilitation, introduced a novel Reinforcement Learning Fractional Order PID controller that adapts therapy in real time to patient needs—a significant advance in robot-assisted motor recovery. This foundational research has garnered 2 citations and demonstrates her commitment to translating control theory into clinical impact. More recently, Fadloun has pioneered the use of Large Language Models for natural language control of UAVs, enabling operators to command drones through conversational speech rather than complex manual interfaces. This 2025 work, already cited 3 times, addresses the critical challenge of cognitive overload in dynamic, time-critical drone operations. By bridging LLMs with real-time autonomous systems, Fadloun is shaping a future where robotic control is intuitive, accessible, and safe—making her a rising voice in next-generation human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1Leveraging Large Language Models for Real-Time UAV Control3 citations · 2025
- 2