Asma Ayari
Papers
7
Total Citations
121
H-Index
4
About
Asma Ayari is a robotics and artificial intelligence researcher whose work centers on multi-robot systems, swarm intelligence, and optimization algorithms. She is best known for her development of Dynamic Distributed Particle Swarm Optimization (D2PSO), a novel algorithmic framework designed to tackle the formidable challenges of path planning and task allocation in large-scale robotic systems. Her most cited work, "A new multiple robot path planning algorithm: dynamic distributed particle swarm optimization" (2017, 48 citations), introduced D2PSO as a scalable solution for coordinating robot trajectories while avoiding collisions — a problem that grows exponentially complex as robot numbers increase. Building on this foundation, Ayari extended her research to multi-robot task allocation (MRTA), proposing innovative clustering-based approaches such as PSO-based dynamic distributed algorithms and the ACD3GPSO framework, earning an additional 40+ citations in that domain. Her 2023 work on evolutionary swarm robotics reflects a continued commitment to advancing methodological frameworks that unify task and path planning. Collectively accumulating over 120 citations, Ayari's contributions have meaningfully advanced the field of swarm robotics, offering practical, scalable solutions that bridge theoretical optimization with real-world autonomous systems applications.
Research Focus
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Top Papers
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