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Author

Yasuhiro Nitta

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
Jul 2026

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

ACME is a large and diverse multi-modal dataset aimed at advancing social navigation research, providing 29.35 hours of onboard robot data and 43.5 hours of overhead pedestrian tracking data that captures more challenging scenarios and a broader distribution of pedestrian behavior than previous datasets.

Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar et al. · 1 citation

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