Výsledky vyhledávání - "Matsuo, Haruka"

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Nearest Neighbor Future Captioning: Generating Descriptions for Possible Collisions in Object Placement Tasks

Autor: Komatsu, Takumi, Kambara, Motonari, Hatanaka, Shumpei, Matsuo, Haruka, Hirakawa, Tsubasa, Yamashita, Takayoshi, Fujiyoshi, Hironobu, Sugiura, Komei

Domestic service robots (DSRs) that support people in everyday environments have been widely investigated. However, their ability to predict and describe future risks resulting from their own actions remains insufficient. In this study, we focus on t

Externí odkaz: http://arxiv.org/abs/2407.13186

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Co-Scale Cross-Attentional Transformer for Rearrangement Target Detection

Autor: Matsuo, Haruka, Ishikawa, Shintaro, Sugiura, Komei

Rearranging objects (e.g. vase, door) back in their original positions is one of the most fundamental skills for domestic service robots (DSRs). In rearrangement tasks, it is crucial to detect the objects that need to be rearranged according to the g

Externí odkaz: http://arxiv.org/abs/2407.05063

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DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training

Autor: Kaneda, Kanta, Korekata, Ryosuke, Wada, Yuiga, Nagashima, Shunya, Kambara, Motonari, Iioka, Yui, Matsuo, Haruka, Imai, Yuto, Nishimura, Takayuki, Sugiura, Komei

This paper focuses on the DialFRED task, which is the task of embodied instruction following in a setting where an agent can actively ask questions about the task. To address this task, we propose DialMAT. DialMAT introduces Moment-based Adversarial

Externí odkaz: http://arxiv.org/abs/2311.06855

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