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LLM-State: Open World State Representation for Long-horizon Task
  Planning with Large Language Model

LLM-State: Open World State Representation for Long-horizon Task Planning with Large Language Model

29 November 2023
Siwei Chen
Anxing Xiao
David Hsu
    LM&Ro
ArXivPDFHTML

Papers citing "LLM-State: Open World State Representation for Long-horizon Task Planning with Large Language Model"

3 / 3 papers shown
Title
Errors are Useful Prompts: Instruction Guided Task Programming with
  Verifier-Assisted Iterative Prompting
Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting
Marta Skreta
Naruki Yoshikawa
Sebastian Arellano-Rubach
Zhi Ji
L. B. Kristensen
Kourosh Darvish
Alán Aspuru-Guzik
Florian Shkurti
Animesh Garg
65
56
0
24 Mar 2023
Large Language Models as Zero-Shot Human Models for Human-Robot
  Interaction
Large Language Models as Zero-Shot Human Models for Human-Robot Interaction
Bowen Zhang
Harold Soh
LLMAG
LM&Ro
67
39
0
06 Mar 2023
ProgPrompt: Generating Situated Robot Task Plans using Large Language
  Models
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh
Valts Blukis
Arsalan Mousavian
Ankit Goyal
Danfei Xu
Jonathan Tremblay
D. Fox
Jesse Thomason
Animesh Garg
LM&Ro
LLMAG
112
616
0
22 Sep 2022
1