Katsuya Hyodo — accepted AI-conference papers

2025

A Noise-Robust Turn-Taking System for Real-World Dialogue Robots: A Field Experiment

Koji Inoue, Yuki Okafuji, Jun Baba, Yoshiki Ohira, Katsuya Hyodo, Tatsuya Kawahara

IROS 2025

Turn-taking is a crucial aspect of human-robot interaction, directly influencing conversational fluidity and user engagement. While previous research has explored turn-taking models in controlled environments, their robustness in real-world settings remains underexplored. In this study, we propose a

Cited by 3 Source ↗Scholar ↗

2022

Playful Recommendation: Sales Promotion That Robots Stimulate Pleasant Feelings Instead of Product Explanation

Takuya Iwamoto, Jun Baba, Junya Nakanishi, Katsuya Hyodo, Yuichiro Yoshikawa, Hiroshi Ishiguro

RA-L 2022

Successful cases of robot sales promotions have been increasing. Users tend to make purchases when robots properly interact with users. Most robot interactions/recommendations are created using specific products and locations within the context. Therefore, developers have to prepare a new recommenda

Cited by 20 Source ↗Scholar ↗