Ramdane Maamri
Université Constantine 2, University Frères Mentouri Constantine 1
Papers
9
Total Citations
162
H-Index
6
About
Ramdane Maamri is a leading researcher in multi-robot systems, with his work centered on solving the computationally complex **multi-robot task allocation (MRTA) problem**. His major contributions lie in developing novel **distributed and bio-inspired algorithms** that enable teams of autonomous robots to optimally assign and execute tasks without centralized control. By ingeniously hybridizing algorithms like the **Consensus-Based Bundle Algorithm with Ant Colony Systems** (2020, 76 citations) and integrating **Firefly Algorithms with quantum-inspired approaches** (2019, 40 citations), Maamri has produced scalable solutions that handle the NP-hard nature of MRTA while respecting energetic and spatiotemporal constraints. His work is highly impactful, with his top paper alone garnering 76 citations, demonstrating its influence on the field. Beyond algorithmic innovation, Maamri has advanced the formal analysis of MRTA using set theory (2021) and explored applications in **smart home modeling** using high-level Petri nets (2012). His research provides a critical toolkit for the next generation of autonomous systems, from warehouse logistics to search-and-rescue operations, making him a pivotal figure in distributed robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2FA–QABC–MRTA: a solution for solving the multi-robot task allocation problem40 citations · 2019
- 3Cooperative Learning-Agents for Task Allocation Problem10 citations · 2018
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- 7Modeling Smart Home Using the Paradigm of Nets within Nets5 citations · 2012
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