Saved in:
| Main Authors: | Liao, Zeqin, Ren, Peifan, Gao, Zixu, Gong, Hongyu, Hu, Lianyu, Tang, Wenbing, Nan, Yuhong, Zheng, Zibin, Liu, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2606.00053 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Augmenting Smart Contract Decompiler Output through Fine-grained Dependency Analysis and LLM-facilitated Semantic Recovery
by: Liao, Zeqin, et al.
Published: (2025)
by: Liao, Zeqin, et al.
Published: (2025)
BrainMem: Brain-Inspired Evolving Memory for Embodied Agent Task Planning
by: Ma, Xiaoyu, et al.
Published: (2026)
by: Ma, Xiaoyu, et al.
Published: (2026)
An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs
by: Liao, Zeqin, et al.
Published: (2025)
by: Liao, Zeqin, et al.
Published: (2025)
Satellite: Detecting and Analyzing Smart Contract Vulnerabilities caused by Subcontract Misuse
by: Liao, Zeqin, et al.
Published: (2025)
by: Liao, Zeqin, et al.
Published: (2025)
SmartState: Detecting State-Reverting Vulnerabilities in Smart Contracts via Fine-Grained State-Dependency Analysis
by: Liao, Zeqin, et al.
Published: (2024)
by: Liao, Zeqin, et al.
Published: (2024)
Detecting Non-Optimal Decisions of Embodied Agents via Diversity-Guided Metamorphic Testing
by: Wu, Wenzhao, et al.
Published: (2025)
by: Wu, Wenzhao, et al.
Published: (2025)
SmartAxe: Detecting Cross-Chain Vulnerabilities in Bridge Smart Contracts via Fine-Grained Static Analysis
by: Liao, Zeqin, et al.
Published: (2024)
by: Liao, Zeqin, et al.
Published: (2024)
V-VLAPS: Value-Guided Planning for Vision-Language-Action Models
by: Ren, Ke, et al.
Published: (2026)
by: Ren, Ke, et al.
Published: (2026)
ST4VLA: Spatially Guided Training for Vision-Language-Action Models
by: Ye, Jinhui, et al.
Published: (2026)
by: Ye, Jinhui, et al.
Published: (2026)
EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models
by: Bai, Zechen, et al.
Published: (2025)
by: Bai, Zechen, et al.
Published: (2025)
SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models
by: Li, Meng, et al.
Published: (2025)
by: Li, Meng, et al.
Published: (2025)
FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization
by: Liu, Yicheng, et al.
Published: (2025)
by: Liu, Yicheng, et al.
Published: (2025)
LaViRA: Language-Vision-Robot Actions Translation for Zero-Shot Vision Language Navigation in Continuous Environments
by: Ding, Hongyu, et al.
Published: (2025)
by: Ding, Hongyu, et al.
Published: (2025)
ActionCodec: What Makes for Good Action Tokenizers
by: Dong, Zibin, et al.
Published: (2026)
by: Dong, Zibin, 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)
ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models
by: Zhong, Linqing, et al.
Published: (2026)
by: Zhong, Linqing, et al.
Published: (2026)
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)
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)
Metamorphic Testing of Vision-Language Action-Enabled Robots
by: Valle, Pablo, et al.
Published: (2026)
by: Valle, Pablo, et al.
Published: (2026)
LatBot: Distilling Universal Latent Actions for Vision-Language-Action Models
by: Li, Zuolei, et al.
Published: (2025)
by: Li, Zuolei, et al.
Published: (2025)
HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward
by: Cao, Yuhong, et al.
Published: (2025)
by: Cao, Yuhong, et al.
Published: (2025)
BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation
by: Wang, Hongyu, et al.
Published: (2025)
by: Wang, Hongyu, et al.
Published: (2025)
GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning
by: Ma, Guoqing, et al.
Published: (2026)
by: Ma, Guoqing, et al.
Published: (2026)
ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation
by: Yan, Hongyu, et al.
Published: (2026)
by: Yan, Hongyu, et al.
Published: (2026)
CollabVLA: Self-Reflective Vision-Language-Action Model Dreaming Together with Human
by: Sun, Nan, et al.
Published: (2025)
by: Sun, Nan, et al.
Published: (2025)
XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations
by: Fan, Shichao, et al.
Published: (2025)
by: Fan, Shichao, et al.
Published: (2025)
Premover: Fast Vision-Language-Action Control by Acting Before Instructions Are Complete
by: Park, Joonha, et al.
Published: (2026)
by: Park, Joonha, et al.
Published: (2026)
Failing Forward: Adaptive Failure-Informed Learning for Vision-Language-Action Models
by: Zheng, Meng, et al.
Published: (2026)
by: Zheng, Meng, et al.
Published: (2026)
StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision
by: Deng, Shengliang, et al.
Published: (2025)
by: Deng, Shengliang, et al.
Published: (2025)
HazardArena: Evaluating Semantic Safety in Vision-Language-Action Models
by: Chen, Zixing, et al.
Published: (2026)
by: Chen, Zixing, et al.
Published: (2026)
Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions
by: Zhao, Wei, et al.
Published: (2025)
by: Zhao, Wei, et al.
Published: (2025)
VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation
by: Wang, Zhijie, et al.
Published: (2024)
by: Wang, Zhijie, et al.
Published: (2024)
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
by: Xin, Guipeng, et al.
Published: (2024)
by: Xin, Guipeng, et al.
Published: (2024)
AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning
by: Lew, Jeric, et al.
Published: (2025)
by: Lew, Jeric, et al.
Published: (2025)
FlowVLA: Visual Chain of Thought-based Motion Reasoning for Vision-Language-Action Models
by: Zhong, Zhide, et al.
Published: (2025)
by: Zhong, Zhide, et al.
Published: (2025)
Versatile Behavior Diffusion for Generalized Traffic Agent Simulation
by: Huang, Zhiyu, et al.
Published: (2024)
by: Huang, Zhiyu, et al.
Published: (2024)
VLAS: Vision-Language-Action Model With Speech Instructions For Customized Robot Manipulation
by: Zhao, Wei, et al.
Published: (2025)
by: Zhao, Wei, et al.
Published: (2025)
RotVLA: Rotational Latent Action for Vision-Language-Action Model
by: Li, Qiwei, et al.
Published: (2026)
by: Li, Qiwei, et al.
Published: (2026)
Latent Bridge: Feature Delta Prediction for Efficient Dual-System Vision-Language-Action Model Inference
by: Liu, Yudong, et al.
Published: (2026)
by: Liu, Yudong, et al.
Published: (2026)
ECHO: Continuous Hierarchical Memory for Vision-Language-Action Models
by: Hu, Yanbin, et al.
Published: (2026)
by: Hu, Yanbin, et al.
Published: (2026)
Similar Items
-
Augmenting Smart Contract Decompiler Output through Fine-grained Dependency Analysis and LLM-facilitated Semantic Recovery
by: Liao, Zeqin, et al.
Published: (2025) -
BrainMem: Brain-Inspired Evolving Memory for Embodied Agent Task Planning
by: Ma, Xiaoyu, et al.
Published: (2026) -
An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs
by: Liao, Zeqin, et al.
Published: (2025) -
Satellite: Detecting and Analyzing Smart Contract Vulnerabilities caused by Subcontract Misuse
by: Liao, Zeqin, et al.
Published: (2025) -
SmartState: Detecting State-Reverting Vulnerabilities in Smart Contracts via Fine-Grained State-Dependency Analysis
by: Liao, Zeqin, et al.
Published: (2024)