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Recognizing failures during task execution and implementing recovery procedures is challenging in robotics.
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Do as i can, not as i say: Grounding language in robotic affordances
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Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus · 2022
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Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed H. Chi, Quoc Le, and Denny Zhou · 2022
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Semantically aligned task decomposition in multi-agent reinforcement learning
Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, and Hongyuan Zha · 2023
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Sai Vemprala, Rogerio Bonatti, Arthur Bucker, and Ashish Kapoor · 2023
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Danqing Wang and Lei Li · 2023
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou · 2023
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Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R Narasimhan, and Yuan Cao · 2023
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REFLECT: Summarizing robot experiences for failure explanation and correction
Zeyi Liu, Arpit Bahety, and Shuran Song · 2023
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Robots that ask for help: Uncertainty alignment for large language model planners
Allen Z Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, et al · 2023
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessi, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
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Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, and Gao Huang · 2023
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Robotgpt: Robot manipulation learning from chatgpt
Yixiang Jin, Dingzhe Li, A Yong, Jun Shi, Peng Hao, Fuchun Sun, Jianwei Zhang, and Bin Fang · 2024
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