Tamanna Islam Lima

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About

Tamanna Islam Lima is a researcher in swarm robotics and multi-agent systems, with a focus on bio-inspired collective decision-making. Her most-cited work, "Group decision by house-hunting agents in multi-robot systems" (2016), addresses a fundamental challenge in swarm robotics: how autonomous agents with limited communication can reach consensus on a shared goal. Drawing inspiration from the nest-site selection behavior of honeybee swarms, Lima developed a decentralized model that enables robots to evaluate and agree upon optimal locations through local interactions and quorum sensing. This contribution is significant for applications in autonomous exploration, search-and-rescue, and environmental monitoring, where robust, scalable coordination is essential. While her citation count is modest, her work has been recognized for its clear articulation of a complex biological phenomenon into an implementable robotic framework. Lima’s research bridges the gap between ethology and engineering, offering a principled approach to designing resilient multi-robot systems. Her ongoing work continues to explore how simple, local rules can produce intelligent group behavior, making her a thoughtful contributor to the field of swarm intelligence.