LeVR: A Modular VR Teleoperation Framework for Imitation Learning in Dexterous Manipulation

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Weng, Zhengyang Kris, Elwin, Matthew L., Liu, Han
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866912591367897088
author Weng, Zhengyang Kris
Elwin, Matthew L.
Liu, Han
author_facet Weng, Zhengyang Kris
Elwin, Matthew L.
Liu, Han
contents We introduce LeVR, a modular software framework designed to bridge two critical gaps in robotic imitation learning. First, it provides robust and intuitive virtual reality (VR) teleoperation for data collection using robot arms paired with dexterous hands, addressing a common limitation in existing systems. Second, it natively integrates with the powerful LeRobot imitation learning (IL) framework, enabling the use of VR-based teleoperation data and streamlining the demonstration collection process. To demonstrate LeVR, we release LeFranX, an open-source implementation for the Franka FER arm and RobotEra XHand, two widely used research platforms. LeFranX delivers a seamless, end-to-end workflow from data collection to real-world policy deployment. We validate our system by collecting a public dataset of 100 expert demonstrations and use it to successfully fine-tune state-of-the-art visuomotor policies. We provide our open-source framework, implementation, and dataset to accelerate IL research for the robotics community.
format Preprint
id arxiv_https___arxiv_org_abs_2509_14349
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle LeVR: A Modular VR Teleoperation Framework for Imitation Learning in Dexterous Manipulation
Weng, Zhengyang Kris
Elwin, Matthew L.
Liu, Han
Robotics
We introduce LeVR, a modular software framework designed to bridge two critical gaps in robotic imitation learning. First, it provides robust and intuitive virtual reality (VR) teleoperation for data collection using robot arms paired with dexterous hands, addressing a common limitation in existing systems. Second, it natively integrates with the powerful LeRobot imitation learning (IL) framework, enabling the use of VR-based teleoperation data and streamlining the demonstration collection process. To demonstrate LeVR, we release LeFranX, an open-source implementation for the Franka FER arm and RobotEra XHand, two widely used research platforms. LeFranX delivers a seamless, end-to-end workflow from data collection to real-world policy deployment. We validate our system by collecting a public dataset of 100 expert demonstrations and use it to successfully fine-tune state-of-the-art visuomotor policies. We provide our open-source framework, implementation, and dataset to accelerate IL research for the robotics community.
title LeVR: A Modular VR Teleoperation Framework for Imitation Learning in Dexterous Manipulation
topic Robotics
url https://arxiv.org/abs/2509.14349