activity
20232026
most citedOpen X-Embodiment: Robotic Learning Datasets and RT-X Models

103 citations · 165 across the 10 of their papers we have counts for

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Showing 2023 · cs.ROShow all

5 papers · 2 filters

cs.RO2023★ 26 cited

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

Yafei Hu, Quanting Xie, Vidhi Jain +20

Building general-purpose robots that operate seamlessly in any environment, with any object, and utilizing various skills to complete diverse tasks has been a long-standing goal in…

cs.RO2023★ 2 cited

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics

Pierre Sermanet, Tianli Ding, Jeffrey Zhao +18

We present a scalable, bottom-up and intrinsically diverse data collection scheme that can be used for high-level reasoning with long and medium horizons and that has 2.2x higher t…

cs.RO2023★ 14 cited

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning

Dhruv Shah, Michael Equi, Blazej Osinski +3

Navigation in unfamiliar environments presents a major challenge for robots: while mapping and planning techniques can be used to build up a representation of the world, quickly di…

cs.RO2023★ 103 cited

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291

Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, thi…

cs.RO2023★ 3 cited

Gesture-Informed Robot Assistance via Foundation Models

Li-Heng Lin, Yuchen Cui, Yilun Hao +2

Gestures serve as a fundamental and significant mode of non-verbal communication among humans. Deictic gestures (such as pointing towards an object), in particular, offer valuable…