Cover Image

MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Ting, Li, Dongjian, Yang, Rui, Zhang, Zeyu, Yang, Zida, Tang, Hao
Format:	Preprint
Published:	2025
Subjects:	Robotics Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EvoVLA: Self-Evolving Vision-Language-Action Model
by: Liu, Zeting, et al.
Published: (2025)

VLA-R1: Enhancing Reasoning in Vision-Language-Action Models
by: Ye, Angen, et al.
Published: (2025)

QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
by: Ding, Pengxiang, et al.
Published: (2023)

GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning
by: Ma, Guoqing, et al.
Published: (2026)

MWM: Mobile World Models for Action-Conditioned Consistent Prediction
by: Yan, Han, et al.
Published: (2026)

ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver
by: Song, Wenxuan, et al.
Published: (2025)

MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
by: Shi, Hao, et al.
Published: (2025)

BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation
by: Wang, Hongyu, et al.
Published: (2025)

InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation
by: Yang, Shuai, et al.
Published: (2025)

Nav-R1: Reasoning and Navigation in Embodied Scenes
by: Liu, Qingxiang, et al.
Published: (2025)

TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
by: Wen, Junjie, et al.
Published: (2024)

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
by: Wang, Yating, et al.
Published: (2025)

VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
by: Zhang, Borong, et al.
Published: (2025)

RotVLA: Rotational Latent Action for Vision-Language-Action Model
by: Li, Qiwei, et al.
Published: (2026)

CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling
by: Li, Hao, et al.
Published: (2025)

MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation
by: Li, Runhao, et al.
Published: (2025)

VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
by: Li, Hengtao, et al.
Published: (2025)

dVLA: Diffusion Vision-Language-Action Model with Multimodal Chain-of-Thought
by: Wen, Junjie, et al.
Published: (2025)

CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification
by: Li, Wei, et al.
Published: (2025)

InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
by: Chen, Xinyi, et al.
Published: (2025)

EveryDayVLA: A Vision-Language-Action Model for Affordable Robotic Manipulation
by: Chopra, Samarth, et al.
Published: (2025)

LoopVLA: Learning Sufficiency in Recurrent Refinement for Vision-Language-Action Models
by: Shen, Boyang, et al.
Published: (2026)

LLaDA-VLA: Vision Language Diffusion Action Models
by: Wen, Yuqing, et al.
Published: (2025)

PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model
by: Liang, Wenqi, et al.
Published: (2025)

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model
by: Liu, Jiaming, et al.
Published: (2025)

Mobile Robot Navigation Using Hand-Drawn Maps: A Vision Language Model Approach
by: Tan, Aaron Hao, et al.
Published: (2025)

Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving
by: Zhang, Dapeng, et al.
Published: (2025)

DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control
by: Wen, Junjie, et al.
Published: (2025)

QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision-Language-Action Models
by: Li, Yixuan, et al.
Published: (2025)

StableVLA: Towards Robust Vision-Language-Action Models without Extra Data
by: Fu, Yiyang, et al.
Published: (2026)

MoManipVLA: Transferring Vision-language-action Models for General Mobile Manipulation
by: Wu, Zhenyu, et al.
Published: (2025)

VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
by: Gao, Chongkai, et al.
Published: (2025)

MiVLA: Towards Generalizable Vision-Language-Action Model with Human-Robot Mutual Imitation Pre-training
by: Yin, Zhenhan, et al.
Published: (2025)

GesVLA: Gesture-Aware Vision-Language-Action Model Embedded Representations
by: Guo, Wenxuan, et al.
Published: (2026)

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
by: Zhang, Wenyao, et al.
Published: (2025)

Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies
by: Liang, Zhixuan, et al.
Published: (2025)

ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models
by: Song, Zirui, et al.
Published: (2025)

UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models
by: Zhang, Qiyao, et al.
Published: (2026)

Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process
by: Chen, Jiayi, et al.
Published: (2025)

VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model
by: Sun, Jingwen, et al.
Published: (2026)