About Me

Profile Picture

Seabin Lee

Ph.D. Student in Electronic Engineering

Education:

Email: 123sebin@naver.com


I am a Ph.D. student passionate about Multi-Robot Systems (MRS), particularly focusing on large-scale Multi-Robot Task Allocation (MRTA). My research extends to both multi-mobile robots and multi-manipulator systems, with ongoing efforts to adapt MRTA algorithms to heterogeneous platforms. I am also deeply interested in Multi-Agent Path Finding (MAPF) and Human-Robot Interaction (HRI), especially in the context of scalable coordination and supervision. Additionally, I enjoy developing complex simulation environments that integrate real-time interaction, visualization, and robot behavior modeling.

Skills

Linux

Unity

Blender

Python

C++

C#

Git

Publications

View all on Google Scholar

Projects

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Congestion Aware MRTA

A scalable multi-robot task allocation framework designed for large and complex environments. Combines visibility-based roadmaps with section-level planning to minimize congestion and improve coordination. Implemented in Python with modular, reproducible pipeline support.

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Human-Aware Multi-Robot Supervisory Allocation

Coming soon.

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Robot Task Planning by Multi LLM agent

Coming soon.

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Multi-Manipulator Task and Path Planning

Coming soon.

Contact Me

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