Seungmin Baek

Papers

Total Citations

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About

Seungmin Baek is a rising researcher in intelligent robotics and multi-agent systems, with a focus on autonomous surveillance and indoor navigation. His most-cited work, "MASS: Multi-Agent Scheduling System for Intelligent Surveillance" (2022, 8 citations), addresses a critical challenge in deploying autonomous mobile robots for security: coordinating multiple agents in dynamic indoor environments. Baek’s contributions lie in integrating localization, obstacle avoidance, and path planning algorithms into a unified scheduling framework, enabling robots to efficiently patrol and respond to events without human intervention. This work has practical implications for smart buildings, warehouses, and public safety, where reliable multi-robot coordination is essential. Though early in his career, Baek’s research demonstrates a clear trajectory toward scalable, real-world autonomous systems. His emphasis on algorithmic robustness and system-level integration positions him as a promising voice in the intersection of robotics and artificial intelligence. As autonomous surveillance becomes increasingly vital, Baek’s foundational work in multi-agent scheduling will likely inform future developments in intelligent security infrastructure.