CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents
Author:
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
Link
http://xplorestaging.ieee.org/ielx7/7083369/10360389/10336901.pdf?arnumber=10336901
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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