Conversational Collaborative Robots

Kranti Chalamalasetti

Conversational Collaborative Robots

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Abstract

Spoken dialogue systems (SDSs) aims to enable natural, interactive and collaborative conversations. My research interest lies in leveraging these situated collaborative conversations to teach new concepts (skills) to collaborative robots (cobots). These cobots, when operating in manufacturing environments such as assembly lines, are envisioned to converse with humans, reach common ground, and learn new skills in one shot without the need for multiple demonstrations. Unlike SDSs in consumer domains, these cobot-based systems must handle conversations in noisy, time-sensitive industrial settings. Motivated by these challenges, my research focuses on building collaborative dialogue systems capable of integrating conversational programming to translate situated dialogue into modular programs, knowing when to ask for clarifications, and adapting the program based on corrections.

Anthology ID:: 2025.yrrsds-1.3
Volume:: Proceedings of the 21st Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems
Month:: August
Year:: 2025
Address:: Avignon, France
Editors:: Ryan Whetten, Virgile Sucal, Anh Ngo, Kranti Chalamalasetti, Koji Inoue, Gaetano Cimino, Zachary Yang, Yuki Zenimoto, Ricardo Rodriguez
Venue:: YRRSDS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 6–9
Language:
URL:: https://aclanthology.org/2025.yrrsds-1.3/
DOI:
Bibkey:
Cite (ACL):: Chalamalasetti Kranti. 2025. Conversational Collaborative Robots. In Proceedings of the 21st Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems, pages 6–9, Avignon, France. Association for Computational Linguistics.
Cite (Informal):: Conversational Collaborative Robots (Kranti, YRRSDS 2025)
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PDF:: https://aclanthology.org/2025.yrrsds-1.3.pdf

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@inproceedings{kranti-2025-conversational,
    title = "Conversational Collaborative Robots",
    author = "Kranti, Chalamalasetti",
    editor = "Whetten, Ryan  and
      Sucal, Virgile  and
      Ngo, Anh  and
      Chalamalasetti, Kranti  and
      Inoue, Koji  and
      Cimino, Gaetano  and
      Yang, Zachary  and
      Zenimoto, Yuki  and
      Rodriguez, Ricardo",
    booktitle = "Proceedings of the 21st Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems",
    month = aug,
    year = "2025",
    address = "Avignon, France",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.yrrsds-1.3/",
    pages = "6--9",
    abstract = "Spoken dialogue systems (SDSs) aims to enable natural, interactive and collaborative conversations. My research interest lies in leveraging these situated collaborative conversations to teach new concepts (skills) to collaborative robots (cobots). These cobots, when operating in manufacturing environments such as assembly lines, are envisioned to converse with humans, reach common ground, and learn new skills in one shot without the need for multiple demonstrations. Unlike SDSs in consumer domains, these cobot-based systems must handle conversations in noisy, time-sensitive industrial settings. Motivated by these challenges, my research focuses on building collaborative dialogue systems capable of integrating conversational programming to translate situated dialogue into modular programs, knowing when to ask for clarifications, and adapting the program based on corrections."
}

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%0 Conference Proceedings
%T Conversational Collaborative Robots
%A Kranti, Chalamalasetti
%Y Whetten, Ryan
%Y Sucal, Virgile
%Y Ngo, Anh
%Y Chalamalasetti, Kranti
%Y Inoue, Koji
%Y Cimino, Gaetano
%Y Yang, Zachary
%Y Zenimoto, Yuki
%Y Rodriguez, Ricardo
%S Proceedings of the 21st Workshop of Young Researchers’ Roundtable on Spoken Dialogue Systems
%D 2025
%8 August
%I Association for Computational Linguistics
%C Avignon, France
%F kranti-2025-conversational
%X Spoken dialogue systems (SDSs) aims to enable natural, interactive and collaborative conversations. My research interest lies in leveraging these situated collaborative conversations to teach new concepts (skills) to collaborative robots (cobots). These cobots, when operating in manufacturing environments such as assembly lines, are envisioned to converse with humans, reach common ground, and learn new skills in one shot without the need for multiple demonstrations. Unlike SDSs in consumer domains, these cobot-based systems must handle conversations in noisy, time-sensitive industrial settings. Motivated by these challenges, my research focuses on building collaborative dialogue systems capable of integrating conversational programming to translate situated dialogue into modular programs, knowing when to ask for clarifications, and adapting the program based on corrections.
%U https://aclanthology.org/2025.yrrsds-1.3/
%P 6-9

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Markdown (Informal)

[Conversational Collaborative Robots](https://aclanthology.org/2025.yrrsds-1.3/) (Kranti, YRRSDS 2025)

Conversational Collaborative Robots (Kranti, YRRSDS 2025)

ACL

Chalamalasetti Kranti. 2025. Conversational Collaborative Robots. In Proceedings of the 21st Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems, pages 6–9, Avignon, France. Association for Computational Linguistics.