Hee-Deok Jang
Papers
1
Total Citations
1
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About
Dr. Hee-Deok Jang is a pioneering researcher at the intersection of large language models (LLMs) and autonomous robotics, with a primary focus on enabling robots to interpret and execute abstract, high-level human commands. His most-cited work, "Large Language Model Based Autonomous Task Planning for Abstract Commands" (2025), addresses a critical gap in robotics: while most systems require explicit, step-by-step instructions, Dr. Jang’s research leverages the advanced reasoning capabilities of LLMs to infer missing details and generate coherent task plans from vague or incomplete directives. This contribution is foundational for developing more intuitive human-robot interaction, moving beyond rigid command structures toward truly adaptive autonomy. With his work already garnering attention in the emerging field of LLM-driven robotics, Dr. Jang is shaping how machines understand and act upon nuanced human intent. His research promises to unlock practical applications in service robotics, assistive technology, and industrial automation, where abstract commands are the norm. As one of the early pioneers in this rapidly evolving domain, Dr. Jang’s insights are guiding the next generation of intelligent, context-aware robotic systems.
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Top Papers
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