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cs.RO2026
Human-robot conversation with multiple participants in noisy public spaces
Divesh Lala, Yogeeswaran Muthukumaran, Vincent Fernandes +10
For noisy real-world environments such as those in open public spaces, spoken dialogue systems for both autonomous robots and avatars should be carefully designed to provide enhanc…
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…