Ettilla Mohiuddin Eumi
Papers
1
Total Citations
1
H-Index
1
About
Ettilla Mohiuddin Eumi is a researcher at the forefront of human-robot interaction, specializing in the integration of large language models (LLMs) with multi-agent robotic systems. Her work centers on making robotic swarms more accessible and intuitive to human operators through natural, context-aware communication. In her landmark paper, "SwarmChat: An LLM-Based, Context-Aware Multimodal Interaction System for Robotic Swarms" (2025), Eumi introduced a novel framework that allows users to command and query entire swarms using conversational language, bridging the gap between complex multi-robot coordination and human understanding. This contribution is particularly significant for applications in search-and-rescue, environmental monitoring, and industrial automation, where rapid, adaptable human oversight is critical. Though early in her career, her work has already garnered attention, with her most-cited paper accumulating 1 citation—a promising start that signals growing interest in her innovative approach. Eumi’s research not only advances the technical capabilities of swarm robotics but also emphasizes user-centered design, making her a rising voice in the field of human-robot collaboration.
Research Focus
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Top Papers
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