Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Sangoh, Mo, Sangwoo, Han, Wook-Shin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hierarchical Vision Language Action Model Using Success and Failure Demonstrations
by: Park, Jeongeun, et al.
Published: (2025)
by: Park, Jeongeun, et al.
Published: (2025)
Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
by: Wang, Zehao, et al.
Published: (2026)
by: Wang, Zehao, et al.
Published: (2026)
ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context
by: Jang, Huiwon, et al.
Published: (2025)
by: Jang, Huiwon, et al.
Published: (2025)
Action Hallucination in Generative Vision-Language-Action Models
by: Soh, Harold, et al.
Published: (2026)
by: Soh, Harold, et al.
Published: (2026)
A Vision-Language-Action Model for Adaptive Ultrasound-Guided Needle Insertion and Needle Tracking
by: Zhang, Yuelin, et al.
Published: (2026)
by: Zhang, Yuelin, et al.
Published: (2026)
VLA-AN: An Efficient and Onboard Vision-Language-Action Framework for Aerial Navigation in Complex Environments
by: Wu, Yuze, et al.
Published: (2025)
by: Wu, Yuze, et al.
Published: (2025)
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
by: Wang, Taowen, et al.
Published: (2024)
by: Wang, Taowen, et al.
Published: (2024)
RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models
by: Sridhar, Kaustubh, et al.
Published: (2025)
by: Sridhar, Kaustubh, et al.
Published: (2025)
Do What? Teaching Vision-Language-Action Models to Reject the Impossible
by: Hsieh, Wen-Han, et al.
Published: (2025)
by: Hsieh, Wen-Han, et al.
Published: (2025)
Verifier-free Test-Time Sampling for Vision Language Action Models
by: Jang, Suhyeok, et al.
Published: (2025)
by: Jang, Suhyeok, et al.
Published: (2025)
KineVLA: Towards Kinematics-Aware Vision-Language-Action Models with Bi-Level Action Decomposition
by: Han, Gaoge, et al.
Published: (2026)
by: Han, Gaoge, et al.
Published: (2026)
EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models
by: Dong, Perry, et al.
Published: (2026)
by: Dong, Perry, et al.
Published: (2026)
ActionFlow: A Pipelined Action Acceleration for Vision Language Models on Edge
by: Dai, Yuntao, et al.
Published: (2025)
by: Dai, Yuntao, et al.
Published: (2025)
AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models
by: Hu, Yutong, et al.
Published: (2026)
by: Hu, Yutong, et al.
Published: (2026)
Adversarial Attacks on Robotic Vision Language Action Models
by: Jones, Eliot Krzysztof, et al.
Published: (2025)
by: Jones, Eliot Krzysztof, et al.
Published: (2025)
Survey of Vision-Language-Action Models for Embodied Manipulation
by: Li, Haoran, et al.
Published: (2025)
by: Li, Haoran, et al.
Published: (2025)
MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models
by: Zhao, Han, et al.
Published: (2025)
by: Zhao, Han, et al.
Published: (2025)
Adaptive Capacity Allocation for Vision Language Action Fine-tuning
by: Kim, Donghoon, et al.
Published: (2026)
by: Kim, Donghoon, et al.
Published: (2026)
Developing Vision-Language-Action Model from Egocentric Videos
by: Yoshida, Tomoya, et al.
Published: (2025)
by: Yoshida, Tomoya, et al.
Published: (2025)
Emergence of Human to Robot Transfer in Vision-Language-Action Models
by: Kareer, Simar, et al.
Published: (2025)
by: Kareer, Simar, et al.
Published: (2025)
SAFE: Multitask Failure Detection for Vision-Language-Action Models
by: Gu, Qiao, et al.
Published: (2025)
by: Gu, Qiao, et al.
Published: (2025)
Continually Evolving Skill Knowledge in Vision Language Action Model
by: Wu, Yuxuan, et al.
Published: (2025)
by: Wu, Yuxuan, et al.
Published: (2025)
ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training
by: Yang, Rushuai, et al.
Published: (2026)
by: Yang, Rushuai, et al.
Published: (2026)
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
by: Zhu, Fangqi, et al.
Published: (2025)
by: Zhu, Fangqi, et al.
Published: (2025)
ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts
by: Benjdira, Bilel, et al.
Published: (2023)
by: Benjdira, Bilel, et al.
Published: (2023)
Experiences from Benchmarking Vision-Language-Action Models for Robotic Manipulation
by: Zhang, Yihao, et al.
Published: (2025)
by: Zhang, Yihao, et al.
Published: (2025)
10 Open Challenges Steering the Future of Vision-Language-Action Models
by: Poria, Soujanya, et al.
Published: (2025)
by: Poria, Soujanya, et al.
Published: (2025)
Pure Vision Language Action (VLA) Models: A Comprehensive Survey
by: Zhang, Dapeng, et al.
Published: (2025)
by: Zhang, Dapeng, et al.
Published: (2025)
V-VLAPS: Value-Guided Planning for Vision-Language-Action Models
by: Ren, Ke, et al.
Published: (2026)
by: Ren, Ke, et al.
Published: (2026)
Towards Backdoor-Based Ownership Verification for Vision-Language-Action Models
by: Sun, Ming, et al.
Published: (2026)
by: Sun, Ming, et al.
Published: (2026)
Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation
by: Pei, Xiaohuan, et al.
Published: (2025)
by: Pei, Xiaohuan, et al.
Published: (2025)
SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
by: Qu, Delin, et al.
Published: (2025)
by: Qu, Delin, et al.
Published: (2025)
Hume: Introducing System-2 Thinking in Visual-Language-Action Model
by: Song, Haoming, et al.
Published: (2025)
by: Song, Haoming, et al.
Published: (2025)
Self-Corrective Task Planning by Inverse Prompting with Large Language Models
by: Lee, Jiho, et al.
Published: (2025)
by: Lee, Jiho, et al.
Published: (2025)
Red-Teaming Vision-Language-Action Models via Quality Diversity Prompt Generation for Robust Robot Policies
by: Srikanth, Siddharth, et al.
Published: (2026)
by: Srikanth, Siddharth, et al.
Published: (2026)
DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning
by: Zhang, Xiaohan, et al.
Published: (2024)
by: Zhang, Xiaohan, et al.
Published: (2024)
RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models
by: Chen, Yuxuan, et al.
Published: (2025)
by: Chen, Yuxuan, et al.
Published: (2025)
Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search
by: Neary, Cyrus, et al.
Published: (2025)
by: Neary, Cyrus, et al.
Published: (2025)
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
by: Chen, Xiaoyu, et al.
Published: (2025)
by: Chen, Xiaoyu, et al.
Published: (2025)
NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards
by: Hung, Chia-Yu, et al.
Published: (2025)
by: Hung, Chia-Yu, et al.
Published: (2025)
Similar Items
-
Hierarchical Vision Language Action Model Using Success and Failure Demonstrations
by: Park, Jeongeun, et al.
Published: (2025) -
Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
by: Wang, Zehao, et al.
Published: (2026) -
ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context
by: Jang, Huiwon, et al.
Published: (2025) -
Action Hallucination in Generative Vision-Language-Action Models
by: Soh, Harold, et al.
Published: (2026) -
A Vision-Language-Action Model for Adaptive Ultrasound-Guided Needle Insertion and Needle Tracking
by: Zhang, Yuelin, et al.
Published: (2026)