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• W108571005 abstract "In this paper, we propose a language grounding method that relates verbs which imply body manipulation to motor angle patterns in a humanoid robot to make robots more entertaining. In established methods, verbs are represented by statistical models based on trajectories or motor patterns of a trajector. In our method we use a novel representation model that has six features including both trajector-reference point relationships and the trajector's trajectory. By using this model, some verbs which do not depend on a trajectory, e.g. move the right hand close to the left hand. are represented more adequately. In our language grounding method a humanoid robot generates abstract verb meanings independent of context. As input it uses sets of a user input textual command and a motor pattern. The motor pattern is taught using direct physical feedback resembling playing with child. We implemented the algorithm in a humanoid robot and conducted a verb acquisition experiment. As a result, four problematic verbs, place-on, move-close-to, move-away-from, and touch-with were acquired correctly." @default.
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• W108571005 date "2009-10-16" @default.
• W108571005 modified "2023-10-07" @default.
• W108571005 title "A Method for Acquiring Body Movement Verbs for a Humanoid Robot through Physical Interaction with Humans" @default.
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• W108571005 doi "https://doi.org/10.1609/aiide.v5i1.12355" @default.
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