Spatial Grounding for VLA Models

VLA: Vision-Language-Action

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37 papers10 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

DobotTrack: Target-Grounded Vision-Language-Action Learning for Embodied Person Tracking
Nov 6, 2026Shengjun Deng, Yinghan Zhang, Chengrui Wei +8Multimodal Visual Object Tracking Spatial Grounding for VLA Models
Foshan University · Tsinghua University · Dobot Robotics +1
SLA: Scaling Spatial-Language-Action Model via Continual Pre-training
Nov 5, 2026Fuhao Li, Wenxuan Song, Qizhou Huang +7VLA Model Training Spatial Grounding for VLA Models
The Hong Kong University of Science and Technology (Guangzhou) · Beijing Academy of Artificial Intelligence · Tsinghua University +1
$A^3$ -VLA: Automatic Perception-Guided Attention Alignment for Robot Manipulation
Nov 4, 2026Shengzhe Zhang, Qi Zhang, Dazhong Shen +3Vision-Language-Action Models Language-Conditioned Robot Manipulation
School of Computer Science and Technology, University of Science and Technology of China · Shanghai AI Laboratory · College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics +4
Do Agentic Policies Need to Look at Every Step? Geometric Abstraction for Reasoning and Action
Nov 3, 2026Yihang Liu, Yiming Chen, Mingzhe ZhengAgentic AI for Robotics Large Language Model-Based Robot Planning
Independent Researcher · Georgia Institute of Technology · The Hong Kong University of Science and Technology
Caging Vision-Language Navigation for Legged Robots via Barrier-Certified Safety Architecture
Nov 3, 2026Abhijeet M. Kulkarni, Saimouli Katragadda, Yuze Du +2Robot Navigation Vision-Language Navigation
The authors are with the Robot Perception and Navigation Group (RPNG), University of Delaware, Newark, DE 19716, USA. · Zijun Sha is with the Frontier Research Center, Toyota Motor Corporation, Tokyo, Japan.
STAR: Steering Action Representations with Proprioception for VLA Inference
Oct 29, 2026Guangyu Zhao, Yongchang Zhang, Haoxuan Ru +6Vision-Language-Action Models Spatial Grounding for VLA Models
Peking University · Li Auto · BIGAI +1
BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing
Oct 29, 2026Xiangyu Xu, Bangshuai Peng, Ziyi Liu +5Instruction Generalization in VLA Models Vision-Language-Action Models
Tsinghua University · Shanghai Qizhi Institute
OpenFlyV2: An onboard vision-language-action model for aerial perception and navigation
Oct 29, 2026Junli Liu, Zhongrui You, Chenhui Li +9Aerial VLN Vision-Language-Action Models
Shanghai Artificial Intelligence Laboratory · Northwestern Polytechnical University · Beihang University +4
RynnVLA-Latent: Scaling Robotic Manipulation Foundation Models with 3D-Grounded Latent Actions
Oct 25, 2026Haoyu Zhao, Xingyue Zhao, Zhian Su +11VLA Model Training Robot Foundation Models
DAMO Academy, Alibaba Group · Hong Kong Embodied AI Lab · CUHK +3
BEHAVIOR-Spatial Benchmark: Evaluating Spatial Understanding for Robotics
Oct 25, 2026Sirui Chen, Huang Huang, Qineng Wang +5Spatial Reasoning Benchmarks Spatial Grounding for VLA Models
Stanford University · Northwestern University
FIT-MAC: A Closed-Loop Multi-Agent Framework for Robust Vision-Language-Action Models
Oct 20, 2026Jiatong Li, Jisheng Dang, Qiangqiang Ma +6Closed-Loop Control of VLA Models Robustness of VLA Models
Lanzhou University · Northwest Normal University · Sun Yat-sen University +2
Think Densely, Act Sparsely: Latent Expert Cognitive Chains for Vision-Language-Action Autonomous Driving
Oct 19, 2026Jie Wang, Guang Li, Zhijian Huang +5VLMs for Autonomous Driving Efficient VLA Models
School of Artificial Intelligence, Tianjin University · School of Artificial Intelligence, Shanxi University · Xiaomi EV
GazeAct: A Human-Gaze-Annotated Manipulation Dataset for Attention-Regularized Policies
Oct 17, 2026Anupam Pani, Wang Yuan, Qifan Wang +1Spatial Grounding for VLA Models Robot Manipulation Datasets
HKU Musketeers Foundation Institute of Data Science · Department of Electrical and Electronic Engineering, The University of Hong Kong
GRASP: Global-Local Representation Alignment and Spatial-Physical Grounding for Bimanual Robotic Manipulation
Oct 16, 2026Zeyuan Ren, Guanxun Zhao, Qi Li +15Bimanual Robotic Manipulation Spatial Grounding for VLA Models
COWARobot Co. Ltd, China. · The Hong Kong Polytechnic University, Hong Kong SAR, China. · Tongji University, Shanghai, China. +4
Spa-Bench: A Real-Robot Benchmark for Spatial Grounding in Vision-Language-Action Models
Oct 8, 2026Justin Tien-Smith, Matthew Pidden, Rolandos Alexandros PotamiasSpatial Grounding for VLA Models Visual Grounding for Robotics
Imperial College London
PerturBot: Breaking Shortcut Priors in Vision-Language-Action Models with Perturbative Training
Oct 3, 2026Mingyu Liu, Chonghao Sima, Tianjian Feng +4Spatial Grounding for VLA Models Vision-Language-Action Models
Zhejiang University · Shanghai Innovation Institute · University of Hong Kong +1
GroundingVLN: Reasoning and Acting with Grounding for Vision-Language Navigation
Sep 16, 2026Kailing Li, Yu Han, Tianwen Qian +4Vision-Language Navigation Vision-Language Grounding
School of Computer Science and Technology, East China Normal University · NeoteAI · King Abdullah University of Science and Technology
V-Link: Recovering Lost Visual Representations in Action DiT for Vision-Language-Action Models
Aug 26, 2026Yehao Lu, Jiarui Yang, Yuning Su +10Spatial Grounding for VLA Models Vision-Language-Action Models
Zhejiang University · AGIBOT · The Hong Kong University of Science and Technology (Guangzhou) +1
Pointing-VLA: Typed Spatial Grounding Interfaces for Vision-Language-Action Manipulation
Aug 24, 2026Xiwen Chen, Zelin Li, Zhiruo Zhou +3Spatial Grounding for VLA Models Vision-Language-Action Models
SIGS, Tsinghua University, China · Shanghai Jiao Tong University, China · Wuhan University of Technology, China +2
In-Context VLA: Endowing Vision-Language-Action Models with Language via In-Context Post-Training and Agentic Tool Use
Aug 6, 2026Jiarui Yang, Wen Huang, Jiale Zhang +2Reasoning for VLA Models ICL for Robotics
Nankai University · Tsinghua University · Swiss Federal Institute of Technology in Lausanne (EPFL)
Mind-VLA: Instruction-Aware Spatial Representation Alignment for Vision-Language-Action Models
Aug 5, 2026Xingyu Ding, Yuzhong Zhao, Yang Wu +4Robotic Manipulation Vision-Language-Action Models
Nanjing University, Nanjing, China · Institute of Automation, Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, Beijing, China
See like a Robot: Robot-Centric Pointmaps for VLA Models
Jul 13, 2026Byungkun Lee, Dongyoon Hwang, Dongjin Kim +4Visuomotor Policy Learning Robotic Manipulation
KAIST AI · Holiday Robotics
Direct Action-Head Injection of A Grounded 3D Point Unlocks Spatial and Task Generalization
Jun 26, 2026Shiang-Feng Tsai, Jin-Cheng Jhang, Yen-Ling Tai +5Vision-Language-Action Models Generalization in Robotic Manipulation
National Tsing Hua University · National Yang Ming Chiao Tung University
Decoupling Semantics and Geometric Grounding: Spatial Visual Prompts for Language-Conditioned Imitation Learning
Jun 24, 2026Yanzhe Tang, Xinyu Shao, Yuxuan Hu +6Language-Conditioned Robot Manipulation Vision-Language Grounding
1Tsinghua University, Shenzhen, China. · 2Huawei Technologies Co., Ltd., Shenzhen, China. · 3National University of Singapore, Singapore.
G $^3$ VLA: Geometric Inductive Bias for Vision-Language-Action Models
Jun 23, 2026Yue Peng, Yongzhe Zhao, Artur Habuda +5Multi-View Learning Spatial Grounding for VLA Models
New York University Shanghai · Technical University of Denmark · MBZUAI - Mohamed bin Zayed University of Artificial Intelligence
GeoAlign: Beyond Semantics with State-Guided Spatial Alignment in VLA Models
Jun 2, 2026Yizhi Chen, Zhanxiang Cao, Xinyi Peng +14Visuomotor Policy Learning Geometric Representation Learning
Tongji University · Shanghai Innovation Institute · Shanghai Jiao Tong University +5
Does Visual Information Play a Decisive Role in Vision-Language-Action Model Driving Behavior?
May 29, 2026Jingtao He, Hongliang Lu, Xiaoyun Qiu +2VLM Evaluation Spatial Grounding for VLA Models
Intelligent Transportation Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
Grounding Driving VLA via Inverse Kinematics
May 20, 2026Junsung Park, Hyunjung ShimVLMs for Autonomous Driving Spatial Grounding for VLA Models
Korea Advanced Institute of Science and Technology KimJaeChul AI Graduate School 18, Taebong-ro, Seocho-gu, Seoul, South Korea
VEGA: Visual Encoder Grounding Alignment for Spatially-Aware Vision-Language-Action Models
May 11, 2026Hao Wang, Xiaobao Wei, Jingyang He +103D Spatial Reasoning Spatial Grounding for VLA Models
1Peking University, Beijing, China · 2Beijing Innovation Center of Humanoid Robotics, Beijing, China
CLASP: Closed-loop Asynchronous Spatial Perception for Open-vocabulary Desktop Object Grasping
Apr 13, 2026Yiran Ling, Wenxuan Li, Siying Dong +5Spatial Grounding for VLA Models Robotic Grasping
Harbin Institute of Technology · National Key Laboratory of Smart Farm Technologies and Systems · Northeastern University +1

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DobotTrack: Target-Grounded Vision-Language-Action Learning for Embodied Person Tracking

Shengjun Deng, Yinghan Zhang, Chengrui Wei, Liu Liang+7

Foshan University · Tsinghua University · Dobot Robotics+1

Multimodal Visual Object Tracking Spatial Grounding for VLA Models Temporal Modeling for VLA Models

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Language-guided embodied person tracking requires a mobile agent to identify a target from a referring description and consistently follow the target under egocentric observations. We present DobotTrack, a target-grounded vision-language-action (VLA) framework that integrates auxiliary grounding supervision with efficient temporal modeling. We systematically investigate five auxiliary tasks---person segmentation, bounding-box grounding, visual-spatial classification (VSC), future DINO feature prediction, and future-frame prediction---and adopt complementary mask and bounding-box supervision to enhance target delineation and localization. We introduce Q-identity, a target-conditioned historical visual compression module that leverages target-grounding predictions to selectively preserve identity-discriminative appearance features and spatial cues in compact historical tokens. On EVT-Bench, our 0.8B-parameter model achieves an average success rate of 77.9%, exceeding OmTrackVLA by 16.9 percentage points across the three tasks. We further construct a real-world person-tracking dataset collected using a quadruped robot, comprising 126 episodes and 596,323 mask-annotated frames. The target masks enable automatic derivation of bounding boxes and visual-spatial labels encoding horizontal position and apparent image scale, providing additional grounding supervision without separate manual annotation of these labels. Together, our framework and annotation pipeline support learning target-grounded tracking policies from simulated and real-world data. Code is available at https://github.com/Dobot-Team/dobot_track.