Imen Iben Ammar
Papers
1
Total Citations
2
H-Index
1
About
Imen Iben Ammar is a researcher focused on the intersection of multi-robot systems, energy-aware task allocation, and autonomous monitoring. Her work addresses critical challenges in deploying mixed robot fleets for industrial and urban surveillance, particularly the constraint of limited energy autonomy. In her highly cited preliminary study, she introduced a clustering methodology that optimizes task allocation while accounting for robots' need to visit charging stations, a foundational contribution to sustainable multi-robot operations. With 2 citations already, this work has sparked interest in energy-efficient coordination strategies. Iben Ammar’s research is notable for bridging practical deployment hurdles—such as battery life and dynamic scheduling—with theoretical frameworks, making her a rising voice in robotics. Her achievements include pioneering energy constraints in multi-robot task allocation, a problem increasingly vital for real-world applications like environmental monitoring and smart city management. For students and researchers, her work offers a compelling entry point into the challenges of autonomous systems operating under real-world limitations.
Research Focus
Key Achievements
Top Papers
- 1