Mohamed S. Talamali

About

Mohamed S. Talamali is a leading researcher in swarm robotics, specializing in collective decision-making, foraging, and adaptive monitoring with minimalist robot systems. His major contributions demonstrate counterintuitive principles: that constrained communication and "less is more" approaches can actually improve swarm performance. His landmark 2021 paper, "When less is more: Robot swarms adapt better to changes with constrained communication" (118 citations), showed that limiting information exchange helps swarms discard outdated beliefs and adapt more effectively to dynamic environments. Talamali's work on quality-sensitive foraging using virtual pheromone trails (46 citations) and sophisticated collective foraging with minimalist agents (65 citations) has advanced both biological understanding of social insects and practical engineering of swarm systems. He also developed key simulation tools, including the validation of Kilobot models within ARGoS (34 citations), enabling reproducible swarm research. His innovative use of augmented reality for multi-swarm interaction and scalable robotic fabrics based on Kilobot modules demonstrates his commitment to expanding swarm robotics' experimental capabilities. Talamali's research consistently reveals how simplicity and constraints can paradoxically yield more robust, adaptive collective intelligence.

Research Focus

Key Achievements

Top Papers

1. 1
   When less is more: Robot swarms adapt better to changes with constrained communication

   118 citations · 2021
2. 2
   Sophisticated collective foraging with minimalist agents: a swarm robotics test

   65 citations · 2019
3. 3
   Quality-Sensitive Foraging by a Robot Swarm Through Virtual Pheromone Trails

   46 citations · 2018
4. 4
   Simulating Kilobots Within ARGoS: Models and Experimental Validation

   34 citations · 2018
5. 5
   Improving collective decision accuracy via time-varying cross-inhibition

   26 citations · 2019
6. 6
   The Hidden Benefits of Limited Communication and Slow Sensing in Collective Monitoring of Dynamic Environments

   14 citations · 2022
7. 7
   Multi-Swarm Interaction Through Augmented Reality for Kilobots

   7 citations · 2023
8. 8
   Scalable Plug-and-Play Robotic Fabrics Based on Kilobot Modules

   3 citations · 2025
9. 9
   A Comparative Study of Energy Replenishment Strategies for Robot Swarms

   1 citations · 2024

Key Collaborators

Contact & Links