Dialogue Robot Competition
The Dialogue Robot Competition series focuses on advancing the capabilities of interactive humanoid robots in real-world dialogue scenarios, primarily through a travel planning task. Current research emphasizes the integration of large language models (LLMs) with rule-based systems and multimodal interaction (speech, gestures), addressing challenges like common ground establishment, turn-taking, and handling dialogue breakdowns. These competitions provide a valuable benchmark for evaluating dialogue system performance in complex, human-robot interaction settings, contributing to both theoretical advancements in human-computer interaction and practical improvements in service robotics.
Papers
Team Flow at DRC2023: Building Common Ground and Text-based Turn-taking in a Travel Agent Spoken Dialogue System
Ryu Hirai, Shinya Iizuka, Haruhisa Iseno, Ao Guo, Jingjing Jiang, Atsumoto Ohashi, Ryuichiro Higashinaka
Team Irisapu Project Description for DRC2023
Reon Ohashi, Shinjitsu Agatsuma, Kazuya Tsubokura, Yurie Iribe
Developing Interactive Tourism Planning: A Dialogue Robot System Powered by a Large Language Model
Katsumasa Yoshikawa, Takato Yamazaki, Masaya Ohagi, Tomoya Mizumoto, Keiya Sato
Dialogue system with humanoid robot
Koki Inoue, Shuichiro Ogake, Hayato Kawamura, Naoki Igo
Hospitable Travel Agent Dialogue Robot: Team Irisapu Project Description for DRC2022
Kazuya Tsubokura, Fumiya Kishi, Kotomi Narita, Takuya Takeda, Yurie Iribe
Spoken Dialogue Strategy Focusing on Asymmetric Communication with Android Robots
Daisuke Kawakubo, Hitoshi Ishii, Riku Okazawa, Shunta Nishizawa, Haruki Hatakeyama, Hiroaki Sugiyama, Masaki Shuzo, Eisaku Maeda
Team Flow at DRC2022: Pipeline System for Travel Destination Recommendation Task in Spoken Dialogue
Ryu Hirai, Atsumoto Ohashi, Ao Guo, Hideki Shiroma, Xulin Zhou, Yukihiko Tone, Shinya Iizuka, Ryuichiro Higashinaka