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Sikai Li
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  • Publication
    • ๐Ÿค–ICRA 2025
    • ๐Ÿค–ICRA 2024
    • ๐Ÿค–IROS 2023 Late Breaking Results (Oral)
    • ๐Ÿค–IMECE 2023
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    • ๐Ÿ“šLoRACSE
    • ๐Ÿ‘๏ธIRON
    • ๐ŸŽฎWeb Page Games
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    • ๐Ÿค“Internship
    • โšฝSoccer
    • ๐ŸŽทSino-Western Orchestra
    • ๐ŸŽนPiano
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ICRA 2024

PreviousICRA 2025NextIROS 2023 Late Breaking Results (Oral)

Last updated 1 year ago

Yinpei Dai, Run Peng, Sikai Li, Joyce Chai, "Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation", in ICRA, 2024.

Abstract:

Zero-Shot Object Navigation (ZSON) enables agents to navigate towards open-vocabulary objects in unknown environments. The existing works of ZSON mainly focus on following individual instructions to find generic object classes, neglecting the utilization of natural language interaction and the complexities of identifying user-specific objects. To address these limitations, we introduce Zero-shot Interactive Personalized Object Navigation (ZIPON), where robots need to navigate to personalized goal objects while engaging in conversations with users. To solve ZIPON, we propose a new framework termed Open-woRld Interactive persOnalized Navigation (ORION), which uses Large Language Models (LLMs) to make sequential decisions to manipulate different modules for perception, navigation and communication. Experimental results show that the performance of interactive agents that can leverage user feedback exhibits significant improvement. However, obtaining a good balance between task completion and the efficiency of navigation and interaction remains challenging for all methods. We further provide more findings on the impact of diverse user feedback forms on the agentsโ€™ performance.

Keywords: Natural Dialog for HRI

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