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20202023
most citedPaLM-E: An Embodied Multimodal Language Model

356 citations · 914 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.RO2023★ 87 cited

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Wenlong Huang, Chen Wang, Ruohan Zhang +3

Large language models (LLMs) are shown to possess a wealth of actionable knowledge that can be extracted for robot manipulation in the form of reasoning and planning. Despite the p…

cs.RO2023★ 14 cited

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents

Wenlong Huang, Fei Xia, Dhruv Shah +8

Recent progress in large language models (LLMs) has demonstrated the ability to learn and leverage Internet-scale knowledge through pre-training with autoregressive models. Unfortu…

cs.RO2022★ 38 cited

Code as Policies: Language Model Programs for Embodied Control

Jacky Liang, Wenlong Huang, Fei Xia +5

Large language models (LLMs) trained on code completion have been shown to be capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing LL…

cs.RO2022★ 208 cited

Inner Monologue: Embodied Reasoning through Planning with Language Models

Wenlong Huang, Fei Xia, Ted Xiao +14

Recent works have shown how the reasoning capabilities of Large Language Models (LLMs) can be applied to domains beyond natural language processing, such as planning and interactio…

cs.RO2021★ 24 cited

Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning

Wenlong Huang, Igor Mordatch, Pieter Abbeel +1

Dexterous manipulation of arbitrary objects, a fundamental daily task for humans, has been a grand challenge for autonomous robotic systems. Although data-driven approaches using r…