Ouarda Zedadra

About

Ouarda Zedadra is a researcher specializing in swarm robotics, multi-agent systems, and cooperative algorithms, with a particular focus on the multi-agent foraging (MAF) problem — a foundational challenge in which groups of robots must collaboratively locate and transport objects to designated storage points. Her most influential work, "Multi-Agent Foraging: State-of-the-Art and Research Challenges" (2017), has garnered 48 citations and stands as a comprehensive reference for researchers entering the field, systematically surveying the MAF problem across multiple perspectives. Zedadra has made significant contributions to developing intelligent search and coordination strategies, including algorithms leveraging stigmergy, artificial potential fields, and bio-inspired techniques such as Lévy walks and firefly optimization. Her 2022 paper introducing the LFA algorithm demonstrates her continued innovation in combining nature-inspired search mechanisms for multi-target and multi-robot applications. Throughout her career, she has addressed practical challenges including energy efficiency in large-scale foraging systems and cooperative versus non-cooperative behavioral models. With work spanning from foundational theory to applied algorithm design, Zedadra's research has meaningfully advanced the understanding of distributed robot coordination, making her a valuable contributor to the swarm intelligence and autonomous robotics communities.

Research Focus

Key Achievements

Top Papers

1. 1
   Multi-Agent Foraging: state-of-the-art and research challenges

   48 citations · 2017
2. 2
   A Cooperative Switching Algorithm for Multi-Agent Foraging

   19 citations · 2016
3. 3
   LFA: A Lévy Walk and Firefly-Based Search Algorithm: Application to Multi-Target Search and Multi-Robot Foraging

   12 citations · 2022
4. 4
   An Energy-Aware Algorithm for Large Scale Foraging Systems

   10 citations · 2016
5. 5
   Design and analysis of cooperative and non cooperative stigmergy-based models for foraging

   9 citations · 2015
6. 6
   A distributed foraging algorithm based on artificial potential field

   8 citations · 2015
7. 7
   Inverse Firefly-Based Search Algorithms for Multi-Target Search Problem

   3 citations · 2024
8. 8
   Lévy walk-based search strategy: Application to destructive foraging

   3 citations · 2018
9. 9
   A Lévy Walk and Firefly Based Multi-Robots Foraging Algorithm

   3 citations · 2019
10. 10
    Exploring unknown environments with multi-modal locomotion swarm

    3 citations · 2016

Key Collaborators

Contact & Links