Statler: State-Maintaining Language Models for Embodied Reasoning-Reference-Cited by-同舟云学术

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Statler: State-Maintaining Language Models for Embodied Reasoning

Published:2024-05-13 Issue: Volume: Page:15083-15091
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Yoneda Takuma¹,Fang Jiading¹,Li Peng²,Zhang Huanyu³,Jiang Tianchong³,Lin Shengjie¹,Picker Ben³,Yunis David¹,Mei Hongyuan¹,Walter Matthew R.¹

Affiliation:

1. Toyota Technological Institute at Chicago

2. Fudan University

3. University of Chicago

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610634.pdf?arnumber=10610634

Reference64 articles.

1. Large language models are zero-shot reasoners;Kojima,2022

2. Evaluating large language models trained on code;Chen,2021

3. GPT-4 technical report,2023

4. Do as I can, not as I say: Grounding language in robotic affordances;Ahn,2022

5. Code as policies: Language model programs for embodied control;Liang,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CoPAL: Corrective Planning of Robot Actions with Large Language Models;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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