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Author

Maki Sugimoto

2 papers indexed here

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Sep 2026

LLiBTree: An Assessment of Usability and Trust of LLM-integrated Behavior Tree Nodes for Robot Programming

Results show that the PreGeneratedLLiBTree condition yields significantly higher perceived trust, while LLiBTree conditions achieve usability that is non-inferior to natural language-only programming and improve users’ sense of agency, suggesting that LLiBTree offers a practical approach for end-user robot programming.

Yuki Matsutani, Yasuhiro Nitta, Maki Sugimoto · 0 citations
Preprint Jul 2026

ACME: A Multi-Cultural, Multi-Embodiment Social-Navigation Dataset

Understanding how robots and humans move in shared spaces is essential for designing effective social robot navigation policies and predicting human behavior. However, existing datasets often lack the diversity needed to capture differences in culture, geography, and human-robot interaction-factors that strongly shape...

Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar et al. · 0 citations

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