activity
20162023
most citedPaLM-E: An Embodied Multimodal Language Model

356 citations · 1.9k across the 37 of their papers we have counts for

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Showing 2022Show all

10 papers · 1 filter

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★ 3 cited

Visual Language Maps for Robot Navigation

Chenguang Huang, Oier Mees, Andy Zeng +1

Grounding language to the visual observations of a navigating agent can be performed using off-the-shelf visual-language models pretrained on Internet-scale data (e.g., image capti…

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.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…

cs.RO2022★ 2 cited

Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research

Ryan Hoque, Kaushik Shivakumar, Shrey Aeron +7

Autonomous fabric manipulation is a longstanding challenge in robotics, but evaluating progress is difficult due to the cost and diversity of robot hardware. Using Reach, a cloud r…