Copertina

DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xue, Zhengrong, Deng, Shuying, Chen, Zhenyang, Wang, Yixuan, Yuan, Zhecheng, Xu, Huazhe
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration
di: Guo, Lingxiao, et al.
Pubblicazione: (2025)

H$^3$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning
di: Lu, Yiyang, et al.
Pubblicazione: (2025)

AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence
di: Zhang, Jiawei, et al.
Pubblicazione: (2026)

Spatial-Temporal Aware Visuomotor Diffusion Policy Learning
di: Liu, Zhenyang, et al.
Pubblicazione: (2025)

EgoDemoGen: Egocentric Demonstration Generation for Viewpoint Generalization in Robotic Manipulation
di: Xu, Yuan, et al.
Pubblicazione: (2025)

DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
di: Zhu, Junzhe, et al.
Pubblicazione: (2024)

DockAnywhere: Data-Efficient Visuomotor Policy Learning for Mobile Manipulation via Novel Demonstration Generation
di: Shan, Ziyu, et al.
Pubblicazione: (2026)

RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation
di: Gao, Chongkai, et al.
Pubblicazione: (2024)

ViTaS: Visual Tactile Soft Fusion Contrastive Learning for Visuomotor Learning
di: Tian, Yufeng, et al.
Pubblicazione: (2026)

DOGlove: Dexterous Manipulation with a Low-Cost Open-Source Haptic Force Feedback Glove
di: Zhang, Han, et al.
Pubblicazione: (2025)

SuFIA-BC: Generating High Quality Demonstration Data for Visuomotor Policy Learning in Surgical Subtasks
di: Moghani, Masoud, et al.
Pubblicazione: (2025)

HERMES: Human-to-Robot Embodied Learning from Multi-Source Motion Data for Mobile Dexterous Manipulation
di: Yuan, Zhecheng, et al.
Pubblicazione: (2025)

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
di: Ze, Yanjie, et al.
Pubblicazione: (2024)

To Do or Not to Do: Ensuring the Safety of Visuomotor Policies Learned from Demonstrations
di: Ahmed, Riad, et al.
Pubblicazione: (2026)

AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent
di: Mu, Tongzhou, et al.
Pubblicazione: (2024)

GenSim: Generating Robotic Simulation Tasks via Large Language Models
di: Wang, Lirui, et al.
Pubblicazione: (2023)

Catch It! Learning to Catch in Flight with Mobile Dexterous Hands
di: Zhang, Yuanhang, et al.
Pubblicazione: (2024)

Constraint-Preserving Data Generation for Visuomotor Policy Learning
di: Lin, Kevin, et al.
Pubblicazione: (2025)

DemoGrasp: Universal Dexterous Grasping from a Single Demonstration
di: Yuan, Haoqi, et al.
Pubblicazione: (2025)

RoboDuet: Learning a Cooperative Policy for Whole-body Legged Loco-Manipulation
di: Pan, Guoping, et al.
Pubblicazione: (2024)

Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control
di: Chen, Zhuoqun, et al.
Pubblicazione: (2025)

MoE-DP: An MoE-Enhanced Diffusion Policy for Robust Long-Horizon Robotic Manipulation with Skill Decomposition and Failure Recovery
di: Cheng, Baiye, et al.
Pubblicazione: (2025)

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning
di: Yuan, Zhecheng, et al.
Pubblicazione: (2024)

Admittance Visuomotor Policy Learning for General-Purpose Contact-Rich Manipulations
di: Zhou, Bo, et al.
Pubblicazione: (2024)

A Study on Enhancing the Generalization Ability of Visuomotor Policies via Data Augmentation
di: Wang, Hanwen
Pubblicazione: (2025)

History-Aware Visuomotor Policy Learning via Point Tracking
di: Chen, Jingjing, et al.
Pubblicazione: (2025)

SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment
di: Xue, Rong, et al.
Pubblicazione: (2025)

Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
di: Chi, Cheng, et al.
Pubblicazione: (2023)

DemoHLM: From One Demonstration to Generalizable Humanoid Loco-Manipulation
di: Fu, Yuhui, et al.
Pubblicazione: (2025)

L1 Sample Flow for Efficient Visuomotor Learning
di: Song, Weixi, et al.
Pubblicazione: (2025)

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
di: Su, Yifei, et al.
Pubblicazione: (2025)

Learning to Pick: A Visuomotor Policy for Clustered Strawberry Picking
di: Fei, Zhenghao, et al.
Pubblicazione: (2025)

X-Distill: Cross-Architecture Vision Distillation for Visuomotor Learning
di: Shao, Maanping, et al.
Pubblicazione: (2026)

ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch
di: Xue, Zhengrong, et al.
Pubblicazione: (2023)

LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization
di: Xu, Zhengtong, et al.
Pubblicazione: (2024)

One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations
di: Wu, Shaokang, et al.
Pubblicazione: (2024)

Mind the Gap: Learning Implicit Impedance in Visuomotor Policies via Intent-Execution Mismatch
di: Xu, Cuijie, et al.
Pubblicazione: (2026)

\textsc{Gen2Real}: Towards Demo-Free Dexterous Manipulation by Harnessing Generated Video
di: Ye, Kai, et al.
Pubblicazione: (2025)

DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation
di: Zhang, Jiayuan, et al.
Pubblicazione: (2026)

ArrayTac: A Closed-loop Piezoelectric Tactile Platform for Continuously Tunable Rendering of Shape, Stiffness, and Friction
di: Liang, Tianhai, et al.
Pubblicazione: (2026)