CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents

Author:

Park Jeongeun1ORCID,Lim Seungwon2ORCID,Lee Joonhyung1ORCID,Park Sangbeom1ORCID,Chang Minsuk3ORCID,Yu Youngjae2ORCID,Choi Sungjoon1ORCID

Affiliation:

1. Department of Artificial Intelligence, Korea University, Seoul, South Korea

2. Department of Artificial Intelligence, Yonsei University, Seoul, South Korea

3. Google Research, Seattle, WA, USA

Funder

Institute of Information & Communications Technology Planning & Evaluation

Korea Government

Korea University

Institute of Information & communications Technology Planning & Evaluation

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference28 articles.

1. Language models are few-shot learners;Brown,2020

2. LLaMA: Open and efficient foundation language models;Touvron,2023

3. Inner monologue: Embodied reasoning through planning with language models;Huang

4. Do as I can, not as I say: Grounding language in robotic affordances;Ahn

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