Cover Image

Think Proprioceptively: Embodied Visual Reasoning for VLA Manipulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Fangyuan, Zhou, Peng, Qi, Jiaming, Lyu, Shipeng, Navarro-Alarcon, David, Guo, Guodong
Format:	Preprint
Published:	2026
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

TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
by: Liu, Jiahang, et al.
Published: (2025)

TriRelVLA: Triadic Relational Structure for Generalizable Embodied Manipulation
by: Zhou, Hanyu, et al.
Published: (2026)

TrackVLA: Embodied Visual Tracking in the Wild
by: Wang, Shaoan, et al.
Published: (2025)

DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action
by: Fang, Zhen, et al.
Published: (2025)

HiVLA: A Visual-Grounded-Centric Hierarchical Embodied Manipulation System
by: Yang, Tianshuo, et al.
Published: (2026)

Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation
by: Wang, Fangyuan, et al.
Published: (2025)

OmniVLA: Physically-Grounded Multimodal VLA with Unified Multi-Sensor Perception for Robotic Manipulation
by: Guo, Heyu, et al.
Published: (2025)

ST-$π$: Structured SpatioTemporal VLA for Robotic Manipulation
by: Ma, Chuanhao, et al.
Published: (2026)

Closed Loop Interactive Embodied Reasoning for Robot Manipulation
by: Nazarczuk, Michal, et al.
Published: (2024)

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

Latent Representations for Visual Proprioception in Inexpensive Robots
by: Sheikholeslami, Sahara, et al.
Published: (2025)

IntentionVLA: Generalizable and Efficient Embodied Intention Reasoning for Human-Robot Interaction
by: Chen, Yandu, et al.
Published: (2025)

Guide, Think, Act: Interactive Embodied Reasoning in Vision-Language-Action Models
by: Ling, Yiran, et al.
Published: (2026)

ObjectVLA: End-to-End Open-World Object Manipulation Without Demonstration
by: Zhu, Minjie, et al.
Published: (2025)

Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation
by: Zhou, Jiaming, et al.
Published: (2024)

Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces
by: Luo, Gen, et al.
Published: (2025)

RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation
by: Jiang, Yuming, et al.
Published: (2025)

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

RoboView-Bias: Benchmarking Visual Bias in Embodied Agents for Robotic Manipulation
by: Liu, Enguang, et al.
Published: (2025)

Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation
by: Ye, Guo, et al.
Published: (2025)

SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation
by: Li, Wei, et al.
Published: (2025)

ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge
by: Zhou, Zhongyi, et al.
Published: (2025)

Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization
by: Wang, Jianzong, et al.
Published: (2026)

VLingNav: Embodied Navigation with Adaptive Reasoning and Visual-Assisted Linguistic Memory
by: Wang, Shaoan, et al.
Published: (2026)

VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning
by: Wang, Chaoyang, et al.
Published: (2026)

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

ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation
by: Yu, Jiawen, 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)

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

R3DP: Real-Time 3D-Aware Policy for Embodied Manipulation
by: Zhang, Yuhao, et al.
Published: (2026)

Humanoid-VLA: Towards Universal Humanoid Control with Visual Integration
by: Ding, Pengxiang, et al.
Published: (2025)

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

TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
by: Yu, Bin, et al.
Published: (2026)

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

SABER: A Scalable Action-Based Embodied Dataset for Real-World VLA Adaptation
by: Menga, Narsimha, et al.
Published: (2026)

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning
by: Chen, Hao, et al.
Published: (2026)

WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control
by: Jiang, Haoran, et al.
Published: (2025)

Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning
by: Wen, Junjie, et al.
Published: (2024)

Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
by: Wang, Lirui, et al.
Published: (2024)

Language-Conditioned Robotic Manipulation with Fast and Slow Thinking
by: Zhu, Minjie, et al.
Published: (2024)