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About

Yochan Kim is a robotics and artificial intelligence researcher whose work centers on human-robot interaction (HRI), cognitive architectures for service robots, and task-oriented robot behavior design. Over the course of his career, Kim has made meaningful contributions to the challenge of enabling robots to operate effectively alongside humans in real-world environments, particularly in domestic and service contexts. His most influential work, "Generating Task-Oriented Interactions of Service Robots" (2014), which has garnered 42 citations, addresses how robots can intelligently formulate questions to solicit human assistance during complex tasks — a critical capability for practical deployment in everyday settings. This research highlights his sustained focus on making robots not merely autonomous, but collaboratively intelligent. His earlier work, including the development of script-based task models for fetch-and-carry robots, laid important groundwork for structuring robot decision-making and interaction generation in home environments. Kim has also explored the expressive and emotional dimensions of robotics, designing interactive behaviors for entertainment robots and investigating cognitive frameworks that enrich human-robot communication. Collectively, his research reflects a holistic vision of service robotics — one where machines are technically capable, socially aware, and genuinely useful partners in human life.