3 papers
cs.RO2026
Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot
Yuki Okafuji, Koji Inoue, Yoshiki Ohira
Large language model (LLM)-based dialogue systems suffer response delays because generation begins only after final speech recognition. While fixed fillers are a workaround, they b…
cs.RO2026
Breaking the 15% Barrier: A Real-World Data-Driven System for Proactive Social Robot Triggered by User Nonverbal Cues
Yuga Yano, Yuki Okafuji, Ryo Miyoshi +2
Service robots in retail stores increasingly rely on cascaded speech pipelines (STT-LLM-TTS), yet many customer-robot interactions are initiated or guided by nonverbal behaviors su…
cs.RO2025
A Noise-Robust Turn-Taking System for Real-World Dialogue Robots: A Field Experiment
Koji Inoue, Yuki Okafuji, Jun Baba +3
Turn-taking is a crucial aspect of human-robot interaction, directly influencing conversational fluidity and user engagement. While previous research has explored turn-taking model…