Chaima Baccouche
Papers
1
Total Citations
2
H-Index
1
About
Chaima Baccouche’s research lies at the intersection of multi-robot systems, energy-aware task allocation, and autonomous monitoring. In her most-cited work, “A preliminary study about multi-robot task allocation with energy constraints” (2024), she tackles a critical bottleneck in deploying mixed robot fleets for industrial and urban surveillance: limited battery autonomy. Her proposed clustering methodology dynamically schedules charging station visits, enabling continuous, efficient operation of sensor-equipped robots. This contribution addresses a fundamental challenge in real-world robotics—balancing task completion with energy sustainability—and has already garnered 2 citations, signaling early impact in the field. Baccouche’s work is particularly notable for its practical orientation, bridging theoretical task allocation with the physical constraints of autonomous systems. As a researcher, she is shaping how future fleets of heterogeneous robots can reliably monitor large-scale environments, from smart factories to smart cities. Her findings offer a foundation for scalable, energy-efficient coordination strategies, making her a rising voice in multi-robot systems and autonomous logistics.
Research Focus
Key Achievements
Top Papers
- 1