:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guan, Weifan, Hu, Qinghao, Li, Aosheng, Cheng, Jian
Format:	Preprint
Published:	2025
Subjects:	Robotics Machine Learning
Online Access:	https://arxiv.org/abs/2510.17111
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RoboNeuron: A Middle-Layer Infrastructure for Agent-Driven Orchestration in Embodied AI
by: Guan, Weifan, et al.
Published: (2025)

VLP: Vision-Language Preference Learning for Embodied Manipulation
by: Liu, Runze, et al.
Published: (2025)

MEM: Multi-Scale Embodied Memory for Vision Language Action Models
by: Torne, Marcel, et al.
Published: (2026)

From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models
by: Li, Zhuofan, et al.
Published: (2026)

DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models
by: Zheng, Zihao, et al.
Published: (2026)

TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
by: Im, Hokyun, et al.
Published: (2025)

FAST: Efficient Action Tokenization for Vision-Language-Action Models
by: Pertsch, Karl, et al.
Published: (2025)

A Survey on Efficient Vision-Language-Action Models
by: Yu, Zhaoshu, et al.
Published: (2025)

HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness
by: Zheng, Zihao, et al.
Published: (2026)

Survey of Vision-Language-Action Models for Embodied Manipulation
by: Li, Haoran, et al.
Published: (2025)

Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation Tasks
by: Sejnova, Gabriela, et al.
Published: (2024)

SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
by: Shukor, Mustafa, et al.
Published: (2025)

Few-Shot Vision-Language Action-Incremental Policy Learning
by: Song, Mingchen, et al.
Published: (2025)

World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems
by: Li, Runze, et al.
Published: (2026)

VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching
by: Xu, Siyu, et al.
Published: (2025)

Confidence Calibration in Vision-Language-Action Models
by: Zollo, Thomas P, et al.
Published: (2025)

HyperVLA: Efficient Inference in Vision-Language-Action Models via Hypernetworks
by: Xiong, Zheng, et al.
Published: (2025)

CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)

Per-Group Error, Not Total MSE: Fine-Tuning Vision-Language-Action Models for 11-DoF Mobile Manipulation
by: Bofi, Pau Montagut, et al.
Published: (2026)

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models
by: Jin, Ruofan, et al.
Published: (2026)

Tactile-VLA: Unlocking Vision-Language-Action Model's Physical Knowledge for Tactile Generalization
by: Huang, Jialei, et al.
Published: (2025)

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
by: Yuan, Yifu, et al.
Published: (2025)

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
by: Chen, Xiaoyu, et al.
Published: (2025)

AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models
by: Jiang, Yuhua, et al.
Published: (2025)

OpenVLA: An Open-Source Vision-Language-Action Model
by: Kim, Moo Jin, et al.
Published: (2024)

A Survey of Embodied Learning for Object-Centric Robotic Manipulation
by: Zheng, Ying, et al.
Published: (2024)

Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
by: Hu, Jiaheng, et al.
Published: (2026)

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
by: Lyu, Mingyang, et al.
Published: (2025)

Diffusion Models for Robotic Manipulation: A Survey
by: Wolf, Rosa, et al.
Published: (2025)

APPLV: Adaptive Planner Parameter Learning from Vision-Language-Action Model
by: Lu, Yuanjie, et al.
Published: (2026)

ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models
by: Zhao, Yanpeng, et al.
Published: (2026)

$π_0$: A Vision-Language-Action Flow Model for General Robot Control
by: Black, Kevin, et al.
Published: (2024)

RobustVLA: Robustness-Aware Reinforcement Post-Training for Vision-Language-Action Models
by: Zhang, Hongyin, et al.
Published: (2025)

Sigma: The Key for Vision-Language-Action Models toward Telepathic Alignment
by: Wang, Libo
Published: (2025)

RL Token: Bootstrapping Online RL with Vision-Language-Action Models
by: Xu, Charles, et al.
Published: (2026)

DeeAD: Dynamic Early Exit of Vision-Language Action for Efficient Autonomous Driving
by: HU, Haibo, et al.
Published: (2025)

A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents
by: Niu, Haoyi, et al.
Published: (2024)

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models
by: Yin, Cheng, et al.
Published: (2025)

CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
by: Li, Qixiu, et al.
Published: (2024)

Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
by: Zhang, Zhilong, et al.
Published: (2026)