MOTIF: Learning Action Motifs for Few-shot Cross-Embodiment Transfer
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhi, Heng, Tan, Wentao, Zhu, Lei, Li, Fengling, Li, Jingjing, Yang, Guoli, Shen, Heng Tao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Self-Correcting VLA: Online Action Refinement via Sparse World Imagination
por: Liu, Chenyv, et al.
Publicado: (2026)
por: Liu, Chenyv, et al.
Publicado: (2026)
Non-Markovian Long-Horizon Robot Manipulation via Keyframe Chaining
por: Chen, Yipeng, et al.
Publicado: (2026)
por: Chen, Yipeng, et al.
Publicado: (2026)
BLM$_1$: A Boundless Large Model for Cross-Space, Cross-Task, and Cross-Embodiment Learning
por: Tan, Wentao, et al.
Publicado: (2025)
por: Tan, Wentao, et al.
Publicado: (2025)
LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer
por: Zha, Lihan, et al.
Publicado: (2026)
por: Zha, Lihan, et al.
Publicado: (2026)
Any2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body Tracking
por: Yang, Ming, et al.
Publicado: (2026)
por: Yang, Ming, et al.
Publicado: (2026)
MachaGrasp: Morphology-Aware Cross-Embodiment Dexterous Hand Articulation Generation for Grasping
por: Zhang, Heng, et al.
Publicado: (2025)
por: Zhang, Heng, et al.
Publicado: (2025)
Human-Humanoid Robots Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning from Demonstration
por: Liu, Junjia, et al.
Publicado: (2024)
por: Liu, Junjia, et al.
Publicado: (2024)
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment
por: Wang, Tianyu, et al.
Publicado: (2024)
por: Wang, Tianyu, et al.
Publicado: (2024)
Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets
por: Abe, Haruki, et al.
Publicado: (2026)
por: Abe, Haruki, et al.
Publicado: (2026)
DA-PTQ: Drift-Aware Post-Training Quantization for Efficient Vision-Language-Action Models
por: Xu, Siyuan, et al.
Publicado: (2026)
por: Xu, Siyuan, et al.
Publicado: (2026)
Generalizing vision-language models to novel domains: A comprehensive survey
por: Li, Xinyao, et al.
Publicado: (2025)
por: Li, Xinyao, et al.
Publicado: (2025)
X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
por: Zheng, Jinliang, et al.
Publicado: (2025)
por: Zheng, Jinliang, et al.
Publicado: (2025)
EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow
por: Chen, Yixiang, et al.
Publicado: (2025)
por: Chen, Yixiang, et al.
Publicado: (2025)
MV-UMI: A Scalable Multi-View Interface for Cross-Embodiment Learning
por: Rayyan, Omar, et al.
Publicado: (2025)
por: Rayyan, Omar, et al.
Publicado: (2025)
FastGrasp: Learning-based Whole-body Control method for Fast Dexterous Grasping with Mobile Manipulators
por: Tao, Heng, et al.
Publicado: (2026)
por: Tao, Heng, et al.
Publicado: (2026)
Composing Diffusion Policies for Few-shot Learning of Movement Trajectories
por: Patil, Omkar, et al.
Publicado: (2024)
por: Patil, Omkar, et al.
Publicado: (2024)
Tenma: Robust Cross-Embodiment Robot Manipulation with Diffusion Transformer
por: Davies, Travis, et al.
Publicado: (2025)
por: Davies, Travis, et al.
Publicado: (2025)
ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models
por: Ye, Wencheng, et al.
Publicado: (2025)
por: Ye, Wencheng, et al.
Publicado: (2025)
Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward
por: Yang, Jiarui, et al.
Publicado: (2025)
por: Yang, Jiarui, et al.
Publicado: (2025)
Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments
por: Wang, Qiuyue, et al.
Publicado: (2026)
por: Wang, Qiuyue, et al.
Publicado: (2026)
Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations
por: Mattson, Connor, et al.
Publicado: (2024)
por: Mattson, Connor, et al.
Publicado: (2024)
X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real
por: Dan, Prithwish, et al.
Publicado: (2025)
por: Dan, Prithwish, et al.
Publicado: (2025)
Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control
por: Cho, Seongwoong, et al.
Publicado: (2024)
por: Cho, Seongwoong, et al.
Publicado: (2024)
OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning
por: Ji, Guanhua, et al.
Publicado: (2025)
por: Ji, Guanhua, et al.
Publicado: (2025)
FAR-Dex: Few-shot Data Augmentation and Adaptive Residual Policy Refinement for Dexterous Manipulation
por: Bai, Yushan, et al.
Publicado: (2026)
por: Bai, Yushan, et al.
Publicado: (2026)
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models
por: Barcellona, Leonardo, et al.
Publicado: (2024)
por: Barcellona, Leonardo, et al.
Publicado: (2024)
Minimal Embodiment Enables Efficient Learning of Number Concepts in Robot
por: Shangguan, Zhegong, et al.
Publicado: (2026)
por: Shangguan, Zhegong, et al.
Publicado: (2026)
Embodied Long Horizon Manipulation with Closed-loop Code Generation and Incremental Few-shot Adaptation
por: Meng, Yuan, et al.
Publicado: (2025)
por: Meng, Yuan, et al.
Publicado: (2025)
Flexible Locomotion Learning with Diffusion Model Predictive Control
por: Huang, Runhan, et al.
Publicado: (2025)
por: Huang, Runhan, et al.
Publicado: (2025)
Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration
por: Lum, Tyler Ga Wei, et al.
Publicado: (2025)
por: Lum, Tyler Ga Wei, et al.
Publicado: (2025)
H-Zero: Cross-Humanoid Locomotion Pretraining Enables Few-shot Novel Embodiment Transfer
por: Lin, Yunfeng, et al.
Publicado: (2025)
por: Lin, Yunfeng, et al.
Publicado: (2025)
Bridging Embodiment Gaps: Deploying Vision-Language-Action Models on Soft Robots
por: Su, Haochen, et al.
Publicado: (2025)
por: Su, Haochen, et al.
Publicado: (2025)
DexGrasp-Zero: A Morphology-Aligned Policy for Zero-Shot Cross-Embodiment Dexterous Grasping
por: Wu, Yuliang, et al.
Publicado: (2026)
por: Wu, Yuliang, et al.
Publicado: (2026)
RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization
por: Liu, Songming, et al.
Publicado: (2026)
por: Liu, Songming, et al.
Publicado: (2026)
Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction
por: Loh, Jia Quan, et al.
Publicado: (2024)
por: Loh, Jia Quan, et al.
Publicado: (2024)
Compose by Focus: Scene Graph-based Atomic Skills
por: Qi, Han, et al.
Publicado: (2025)
por: Qi, Han, et al.
Publicado: (2025)
AC^2-VLA: Action-Context-Aware Adaptive Computation in Vision-Language-Action Models for Efficient Robotic Manipulation
por: Yu, Wenda, et al.
Publicado: (2026)
por: Yu, Wenda, et al.
Publicado: (2026)
Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning
por: Shen, Weijie, et al.
Publicado: (2025)
por: Shen, Weijie, et al.
Publicado: (2025)
Reliable Few-shot Learning under Dual Noises
por: Zhang, Ji, et al.
Publicado: (2025)
por: Zhang, Ji, et al.
Publicado: (2025)
Sim-and-Human Co-training for Data-Efficient and Generalizable Robotic Manipulation
por: Fang, Kaipeng, et al.
Publicado: (2026)
por: Fang, Kaipeng, et al.
Publicado: (2026)
Ejemplares similares
-
Self-Correcting VLA: Online Action Refinement via Sparse World Imagination
por: Liu, Chenyv, et al.
Publicado: (2026) -
Non-Markovian Long-Horizon Robot Manipulation via Keyframe Chaining
por: Chen, Yipeng, et al.
Publicado: (2026) -
BLM$_1$: A Boundless Large Model for Cross-Space, Cross-Task, and Cross-Embodiment Learning
por: Tan, Wentao, et al.
Publicado: (2025) -
LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer
por: Zha, Lihan, et al.
Publicado: (2026) -
Any2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body Tracking
por: Yang, Ming, et al.
Publicado: (2026)