Boubekeur Mendil

About

Boubekeur Mendil is a prominent researcher whose work spans swarm intelligence optimization, autonomous mobile robotics, and multi-robot systems. His contributions have significantly advanced both theoretical foundations and practical applications in these interconnected fields. Mendil has made notable strides in compact swarm intelligence, developing memory-efficient variants of population-based algorithms. His compact firefly optimizer (cFO) and related algorithms, introduced between 2016 and 2019, address the computational and memory limitations of traditional swarm methods, with his landmark 2017 paper "A Set of New Compact Firefly Algorithms" accumulating 56 citations. These innovations have found direct application in optimizing bipedal robot locomotion and humanoid robot control. In autonomous robotics, his behavior-based and fuzzy logic control frameworks for mobile robots — including three-wheeled omnidirectional platforms and differential drive systems — have garnered widespread attention, with his 2021 navigation and formation control work earning 50 citations. More recently, Mendil has tackled multi-robot coordination challenges, proposing energy-aware and lexicographic optimization strategies for industrial transportation systems. With a growing body of work exceeding 220 cumulative citations, Mendil's research bridges intelligent optimization and real-world robotic autonomy, making him a valuable reference for students exploring robotics, artificial intelligence, and autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A set of new compact firefly algorithms

   56 citations · 2017
2. 2
   Behavior-based Autonomous Navigation and Formation Control of Mobile Robots in Unknown Cluttered Dynamic Environments with Dynamic Target Tracking

   50 citations · 2021
3. 3
   Fuzzy Behavior-based Control of Three Wheeled Omnidirectional Mobile Robot

   36 citations · 2018
4. 4
   Motion Analysis and Control of Three-Wheeled Omnidirectional Mobile Robot

   30 citations · 2019
5. 5
   A lexicographic optimization-based approach for efficient task allocation in industrial transportation multi-robot systems

   10 citations · 2024
6. 6
   Energy-aware task allocation strategy for multi robot system

   10 citations · 2021
7. 7
   Comparison Between Fuzzy and Non-fuzzy Ordinary If–Then Rule-Based Control for the Trajectory Tracking of a Differential Drive Robot

   9 citations · 2022
8. 8
   CFO: A new compact swarm intelligent algorithm for global optimization and optimal bipedal robots walking

   8 citations · 2016
9. 9
   Self-stunding up of humanoid robot using a new intelligent algorithm

   7 citations · 2016
10. 10
    Towards compact swarm intelligence: a new compact firefly optimisation technique

    7 citations · 2019

Key Collaborators

Contact & Links