Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery-Reference-Cited by-同舟云学术

Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery

Published:2024-05-13 Issue: Volume: Page:17395-17402
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Shirasaka Mimo¹,Matsushima Tatsuya¹,Tsunashima Soshi¹,Ikeda Yuya¹,Horo Aoi¹,Ikoma So¹,Tsuji Chikaha¹,Wada Hikaru¹,Omija Tsunekazu¹,Komukai Dai¹,Matsuo Yutaka¹,Iwasawa Yusuke¹

Affiliation:

1. The University of Tokyo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611640.pdf?arnumber=10611640

Reference41 articles.

1. Desiderata for planning systems in general-purpose service robots;Walker,2019

2. On the Opportunities and Risks of Foundation Models;Bommasani,2021

3. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

4. GPT-4 Technical Report,2023

5. Robust speech recognition via large-scale weak supervision;Radford

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