Ali Shokri
Papers
1
Total Citations
10
H-Index
1
About
Ali Shokri is a researcher whose work lies at the intersection of modular robotics and swarm intelligence, with a particular focus on locomotion and reconfiguration strategies. His most cited contribution, “A meta-module approach for cluster flow locomotion of modular robots” (2015, 10 citations), introduces a novel algorithm that enables ATRON-style modular robots to achieve efficient, coordinated movement through the use of meta-modules—higher-level groupings of individual modules. This work addresses a fundamental challenge in modular robotics: how to achieve robust, scalable locomotion without centralized control. By proposing a decentralized, flow-based approach, Shokri’s research has provided a foundation for more adaptive and resilient robotic systems. While his citation count reflects a focused, early-career impact, the conceptual clarity of his meta-module framework has influenced subsequent studies in self-reconfigurable robotics and distributed control. His work is particularly valuable for researchers exploring how simple, identical units can collectively perform complex tasks—a core question in both robotics and artificial life. Shokri’s contributions continue to inform the design of modular systems capable of navigating unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1A meta-module approach for cluster flow locomotion of modular robots10 citations · 2015