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Related papers: Overview of Dialogue Robot Competition 2023

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This paper describes the full end-to-end design of our primary scoring agent in an aerial autonomous robotics competition from April 2023. As open-ended robotics competitions become more popular, we wish to begin documenting successful team…

We envision robots that can collaborate and communicate seamlessly with humans. It is necessary for such robots to decide both what to say and how to act, while interacting with humans. To this end, we introduce a new task, dialogue object…

Robotics · Computer Science 2021-07-23 Monica Roy , Kaiyu Zheng , Jason Liu , Stefanie Tellex

Various studies have been conducted on human-supporting robot systems. These systems have been put to practical use over the years and are now seen in our daily lives. In particular, robots communicating smoothly with people are expected to…

This paper presents a research platform that supports spoken dialogue interaction with multiple robots. The demonstration showcases our crafted MultiBot testing scenario in which users can verbally issue search, navigate, and follow…

In this study, we develop a dialogue system for a dialogue robot competition. In the system, the characteristics of sightseeing spots are expressed as "attribute vectors" in advance, and the user is questioned on the different attributes of…

Human-Computer Interaction · Computer Science 2022-10-18 Motoyuki Suzuki , Shintaro Sodeya , Taichi Nakamura

In the rapidly evolving landscape of Human-Robot Collaboration (HRC), effective communication between humans and robots is crucial for complex task execution. Traditional request-response systems often lack naturalness and may hinder…

Robotics · Computer Science 2024-09-12 Davide Ferrari , Cristian Secchi

Tidying up a household environment using a mobile manipulator poses various challenges in robotics, such as adaptation to large real-world environmental variations, and safe and robust deployment in the presence of humans.The Partner Robot…

In the rapidly evolving landscape of human-robot collaboration, effective communication between humans and robots is crucial for complex task execution. Traditional request-response systems often lack naturalness and may hinder efficiency.…

Robotics · Computer Science 2024-09-12 Davide Ferrari , Filippo Alberi , Cristian Secchi

This paper describes the systems submitted by team6 for ChatEval, the DSTC 11 Track 4 competition. We present three different approaches to predicting turn-level qualities of chatbot responses based on large language models (LLMs). We…

Computation and Language · Computer Science 2023-08-15 Ondřej Plátek , Vojtěch Hudeček , Patricia Schmidtová , Mateusz Lango , Ondřej Dušek

We report the results of DialogSum Challenge, the shared task on summarizing real-life scenario dialogues at INLG 2022. Four teams participate in this shared task and three submit their system reports, exploring different methods to improve…

Computation and Language · Computer Science 2022-09-07 Yulong Chen , Naihao Deng , Yang Liu , Yue Zhang

Large language models are increasingly being explored as interfaces between humans and robotic systems, yet there remains limited evidence on how such technologies can be used not only for interaction, but also as a structured means of…

Robotics · Computer Science 2026-04-24 S. A. Prieto , M. A. Gopee , Y. Ben Arab , B. García de Soto , J. Esteba , P. Olivera Brizzio

This paper describes our system submitted to Dialogue Robot Competition 2022. Our proposed system is a combined model of rule-based and generation-based dialog systems. The system utilizes HyperCLOVA, a Japanese foundation model, not only…

Computation and Language · Computer Science 2022-10-20 Takato Yamazaki , Katsumasa Yoshikawa , Toshiki Kawamoto , Masaya Ohagi , Tomoya Mizumoto , Shuta Ichimura , Yusuke Kida , Toshinori Sato

Current conversational systems can follow simple commands and answer basic questions, but they have difficulty maintaining coherent and open-ended conversations about specific topics. Competitions like the Conversational Intelligence…

Computation and Language · Computer Science 2018-11-09 Nicolas Gontier , Koustuv Sinha , Peter Henderson , Iulian Serban , Michael Noseworthy , Prasanna Parthasarathi , Joelle Pineau

As conversational AI-based dialogue management has increasingly become a trending topic, the need for a standardized and reliable evaluation procedure grows even more pressing. The current state of affairs suggests various evaluation…

Computation and Language · Computer Science 2020-06-12 Sarah E. Finch , Jinho D. Choi

The third version of the open-domain dialogue system Alquist developed within the Alexa Prize 2020 competition is designed to conduct coherent and engaging conversations on popular topics. The main novel contribution is the introduction of…

Computation and Language · Computer Science 2020-11-09 Jan Pichl , Petr Marek , Jakub Konrád , Petr Lorenc , Van Duy Ta , Jan Šedivý

The Werewolf Game is a communication game where players' reasoning and discussion skills are essential. In this study, we present a Werewolf AI agent developed for the AIWolfDial 2024 shared task, co-hosted with the 17th INLG. In recent…

We synthesize the reported results and recommendations of recent workshops and seminars that convened to discuss open questions within the important intersection of robotics, human-robot interaction, and spoken dialogue systems research.…

Computation and Language · Computer Science 2021-08-26 Casey Kennington

Workshop proceedings of two co-located workshops "Working with Troubles and Failures in Conversation with Humans and Robots" (WTF 2023) and "Is CUI Design Ready Yet?", both of which were part of the ACM conference on conversational user…

This paper describes, how current Machine Learning (ML) techniques combined with simple rule-based animation routines make an android robot head an embodied conversational agent with ChatGPT as its core component. The android robot head is…

Robotics · Computer Science 2024-01-11 Marcel Heisler , Christian Becker-Asano

Driven by the rapid advancement of Large Language Models (LLMs), particularly Audio-LLMs and Omni-models, spoken dialogue systems have evolved significantly, progressively narrowing the gap between human-machine and human-human…