Huihui Guo

Papers

Total Citations

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About

Huihui Guo is a leading researcher at the forefront of autonomous robotics, specializing in task and motion planning (TAMP) and mobile manipulation systems. Her seminal 2023 survey, "Recent Trends in Task and Motion Planning for Robotics," has garnered 83 citations, establishing her as a key voice in synthesizing TAMP methodologies for real-world applications like restaurant serving and office delivery. Guo’s work addresses the critical challenge of integrating high-level task planning with low-level motion control, enabling robots to execute complex, long-horizon tasks in unstructured human environments. Her 2025 paper, "CSubBT," introduces a modular execution framework with self-adjusting capability, enhancing the adaptability of mobile manipulation systems. This contribution underscores her commitment to bridging theoretical planning with practical deployment. Guo’s research is pivotal for advancing autonomous robots that operate safely and efficiently alongside humans, making her a vital figure in the evolution of intelligent robotics. Her work continues to inspire students and researchers tackling the intersection of AI planning and real-world robotics.