Djamila Hebib
Papers
1
Total Citations
5
H-Index
1
About
Djamila Hebib is a researcher specializing in multi-robot systems, cooperative mapping, and distributed coordination algorithms for autonomous exploration. Her work addresses the challenge of enabling homogeneous teams of mobile robots to collaboratively map unknown indoor environments without centralized control. In her most-cited paper, "Distributed Multi-agent Bidding-Based Approach for the Collaborative Mapping of Unknown Indoor Environments by a Homogeneous Mobile Robot Team" (2017), Hebib introduces an innovative bidding mechanism that allows robots to autonomously negotiate and assign exploration tasks, thereby building a global map through local interactions. This approach enhances efficiency and scalability in real-world applications such as search-and-rescue or industrial inspection. With 5 citations, her research lays foundational groundwork for decentralized multi-agent coordination, demonstrating how simple market-based strategies can solve complex spatial problems. Hebib’s contributions are particularly valuable for students and researchers interested in swarm robotics, distributed AI, and autonomous navigation, offering a practical framework for collaborative perception in unknown terrains.
Research Focus
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Top Papers
- 1