Dae-Heui Won

Papers

Total Citations

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About

Dae-Heui Won is a pioneering researcher in robotics, with key contributions spanning simultaneous localization and mapping (SLAM), artificial intelligence, and robot software architecture. His seminal 2005 work, "A Probabilistic Approach for Mobile Robot Localization under RFID Tag Infrastructures" (21 citations), addressed a critical challenge in mobile robotics: achieving accurate localization without expensive laser sensors. By introducing a probabilistic framework leveraging low-cost RFID tags, Won democratized SLAM technology, making autonomous navigation more accessible for practical applications. This innovation remains foundational for researchers exploring cost-effective robotic perception systems. Won also advanced robot software engineering through his 2005 study on "Robot software component interface abstractions for distributed sensor and actuator" (7 citations). Recognizing the fragmentation caused by incompatible robotic devices, he proposed standardized abstract interfaces that enable portable hardware and reusable control software. This work anticipated modern robotics middleware, facilitating modular development and interoperability across diverse robotic platforms. Though citation counts are modest, the conceptual impact is significant—his interface abstractions prefigured key ideas in component-based robotics. Together, these contributions establish Won as a forward-thinking researcher who tackled fundamental barriers in both robotic perception and software integration, laying groundwork for more scalable, cost-effective, and maintainable robotic systems.