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

103 citations · 106 across the 23 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.RO2023

Towards Robotic Tree Manipulation: Leveraging Graph Representations

Chung Hee Kim, Moonyoung Lee, Oliver Kroemer +1

There is growing interest in automating agricultural tasks that require intricate and precise interaction with specialty crops, such as trees and vines. However, developing robotic…

cs.RO2023

Towards Autonomous Crop Monitoring: Inserting Sensors in Cluttered Environments

Moonyoung Lee, Aaron Berger, Dominic Guri +4

We present a contact-based phenotyping robot platform that can autonomously insert nitrate sensors into cornstalks to proactively monitor macronutrient levels in crops. This task i…

cs.RO2023

Estimating Material Properties of Interacting Objects Using Sum-GP-UCB

M. Yunus Seker, Oliver Kroemer

Robots need to estimate the material and dynamic properties of objects from observations in order to simulate them accurately. We present a Bayesian optimization approach to identi…

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

DELTAHANDS: A Synergistic Dexterous Hand Framework Based on Delta Robots

Zilin Si, Kevin Zhang, Oliver Kroemer +1

Dexterous robotic manipulation in unstructured environments can aid in everyday tasks such as cleaning and caretaking. Anthropomorphic robotic hands are highly dexterous and theore…