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

103 citations · 108 across the 22 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.RO2025★ 1 cited

GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation

Yunfei Li, Xiao Ma, Jiafeng Xu +18

We present GR-RL, a robotic learning framework that turns a generalist vision-language-action (VLA) policy into a highly capable specialist for long-horizon dexterous manipulation.…

cs.RO2025

TRACE: Textual Reasoning for Affordance Coordinate Extraction

Sangyun Park, Jin Kim, Yuchen Cui +1

Vision-Language Models (VLMs) struggle to translate high-level instructions into the precise spatial affordances required for robotic manipulation. While visual Chain-of-Thought (C…

cs.RO2025★ 1 cited

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models

Huihan Liu, Rutav Shah, Shuijing Liu +6

Assistive teleoperation, where control is shared between a human and a robot, enables efficient and intuitive human-robot collaboration in diverse and unstructured environments. A…

cs.RO2025

Towards Embodiment Scaling Laws in Robot Locomotion

Bo Ai, Liu Dai, Nico Bohlinger +7

Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodim…

cs.RO2025

How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning

Haozhuo Li, Yuchen Cui, Dorsa Sadigh

Imitation learning is a promising approach for learning robot policies with user-provided data. The way demonstrations are provided, i.e., demonstration modality, influences the qu…

cs.RO2025

Shared Autonomy for Proximal Teaching

Megha Srivastava, Reihaneh Iranmanesh, Yuchen Cui +6

Motor skill learning often requires experienced professionals who can provide personalized instruction. Unfortunately, the availability of high-quality training can be limited for…