Yatong Han — accepted AI-conference papers

2025

CLEA: Closed-Loop Embodied Agent for Enhancing Task Execution in Dynamic Environments

Mingcong Lei, Ge Wang, Yiming Zhao, Zhixin Mai, Qing Zhao, Yao Guo +4

IROS 2025

Large Language Models (LLMs) exhibit remarkable capabilities in the hierarchical decomposition of complex tasks through semantic reasoning. However, their application in embodied systems faces challenges in ensuring reliable execution of subtask sequences and achieving one-shot success in long-term

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2025

Empowering Large Language Models with 3D Situation Awareness

Zhihao Yuan, Yibo Peng, Jinke Ren, Yinghong Liao, Yatong Han, Chun-Mei Feng +4

CVPR 2025poster

Driven by the great success of Large Language Models (LLMs) in the 2D image domain, their applications in 3D scene understanding has emerged as a new trend. A key difference between 3D and 2D is that the situation of an egocentric observer in 3D scenes can change, resulting in different descriptions…

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