Ifrat Rahman
Papers
1
Total Citations
2
H-Index
1
About
Ifrat Rahman is a researcher whose work lies at the intersection of swarm intelligence, robotics, and distributed systems. Their research focuses on developing decentralized algorithms that enable groups of autonomous agents to solve complex tasks through local interactions, with a particular emphasis on energy efficiency and adaptive task allocation. Rahman’s most-cited paper, “Trophallaxis and energy optimization in swarms of robots” (2016), introduces a novel computational model inspired by biological trophallaxis—the transfer of food or information among social insects. In this work, Rahman demonstrates how swarms of robots can dynamically allocate cleaning tasks, such as collecting boxes from the environment, without centralized control. By modeling energy as a shared resource that can be exchanged between agents, the system achieves robust, self-organizing behavior that optimizes overall swarm performance. Though the paper has garnered 2 citations, its conceptual contribution to energy-aware swarm robotics is notable for laying groundwork in adaptive, resource-constrained multi-agent systems. Rahman’s work is particularly relevant for researchers exploring scalable, fault-tolerant robotic swarms in real-world applications like environmental cleanup or search-and-rescue missions.
Research Focus
Key Achievements
Top Papers
- 1Trophallaxis and energy optimization in swarms of robots2 citations · 2016