activity
20172023
most citedPaLM-E: An Embodied Multimodal Language Model

356 citations · 1.5k across the 30 of their papers we have counts for

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Showing 2022Show all

10 papers · 1 filter

cs.RO2022★ 20 cited

Interactive Language: Talking to Robots in Real Time

Corey Lynch, Ayzaan Wahid, Jonathan Tompson +5

We present a framework for building interactive, real-time, natural language-instructable robots in the real world, and we open source related assets (dataset, environment, benchma…

cs.RO2022★ 1 cited

VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable Objects

Youngsun Wi, Andy Zeng, Pete Florence +1

Deformable objects manipulation can benefit from representations that seamlessly integrate vision and touch while handling occlusions. In this work, we present a novel approach for…

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.LG2022★ 15 cited

Reinforcement Learning with Neural Radiance Fields

Danny Driess, Ingmar Schubert, Pete Florence +2

It is a long-standing problem to find effective representations for training reinforcement learning (RL) agents. This paper demonstrates that learning state representations with su…

cs.CV2022★ 173 cited

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Andy Zeng, Maria Attarian, Brian Ichter +10

Large pretrained (e.g., "foundation") models exhibit distinct capabilities depending on the domain of data they are trained on. While these domains are generic, they may only barel…