Gemini Robotics: Bringing AI into the Physical World
Paper
• 2503.20020 • Published
• 31
Multimodal Agent
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Magma: A Foundation Model for Multimodal AI Agents
Paper • 2502.13130 • Published • 58 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 49 -
ShowUI: One Vision-Language-Action Model for GUI Visual Agent
Paper • 2411.17465 • Published • 90 -
Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks
Paper • 2501.11733 • Published • 28 -
Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
Paper • 2503.12533 • Published • 68 -
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
Paper • 2503.21696 • Published • 23 -
UI-R1: Enhancing Action Prediction of GUI Agents by Reinforcement Learning
Paper • 2503.21620 • Published • 62 -
OmniParser for Pure Vision Based GUI Agent
Paper • 2408.00203 • Published • 24 -
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
Paper • 2505.06111 • Published • 25 -
Visual Agentic Reinforcement Fine-Tuning
Paper • 2505.14246 • Published • 32 -
Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets
Paper • 2505.15517 • Published • 4 -
Interactive Post-Training for Vision-Language-Action Models
Paper • 2505.17016 • Published • 6 -
InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction
Paper • 2505.10887 • Published • 10 -
Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers
Paper • 2505.21497 • Published • 109 -
VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection
Paper • 2505.20289 • Published • 10 -
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
Paper • 2505.23747 • Published • 69 -
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
Paper • 2505.24878 • Published • 23 -
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Paper • 2506.01844 • Published • 153 -
LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks
Paper • 2506.00411 • Published • 31 -
VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments
Paper • 2506.02387 • Published • 58 -
GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
Paper • 2506.03143 • Published • 53 -
Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports From Scratch with Agentic Framework
Paper • 2506.02454 • Published • 7 -
SAFE: Multitask Failure Detection for Vision-Language-Action Models
Paper • 2506.09937 • Published • 9 -
Optimus-3: Towards Generalist Multimodal Minecraft Agents with Scalable Task Experts
Paper • 2506.10357 • Published • 21 -
VideoDeepResearch: Long Video Understanding With Agentic Tool Using
Paper • 2506.10821 • Published • 19 -
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
Paper • 2506.07961 • Published • 11 -
EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models
Paper • 2506.10100 • Published • 10 -
From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models
Paper • 2506.09930 • Published • 8 -
Unified Vision-Language-Action Model
Paper • 2506.19850 • Published • 28 -
WorldVLA: Towards Autoregressive Action World Model
Paper • 2506.21539 • Published • 40 -
A Survey on Vision-Language-Action Models: An Action Tokenization Perspective
Paper • 2507.01925 • Published • 39 -
RoboBrain 2.0 Technical Report
Paper • 2507.02029 • Published • 35 -
PresentAgent: Multimodal Agent for Presentation Video Generation
Paper • 2507.04036 • Published • 11 -
A Survey on Vision-Language-Action Models for Autonomous Driving
Paper • 2506.24044 • Published • 14 -
PyVision: Agentic Vision with Dynamic Tooling
Paper • 2507.07998 • Published • 33 -
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
Paper • 2507.16815 • Published • 42 -
ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents
Paper • 2507.22827 • Published • 100 -
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
Paper • 2507.23682 • Published • 24 -
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
Paper • 2503.15558 • Published • 50 -
InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation
Paper • 2507.17520 • Published • 15 -
RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Lifelong Learning in Physical Embodied Systems
Paper • 2508.01415 • Published • 8 -
OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use
Paper • 2508.04482 • Published • 9 -
MolmoAct: Action Reasoning Models that can Reason in Space
Paper • 2508.07917 • Published • 44 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 19 -
UI-Venus Technical Report: Building High-performance UI Agents with RFT
Paper • 2508.10833 • Published • 45 -
Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory
Paper • 2508.09736 • Published • 58 -
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 141 -
Mobile-Agent-v3: Foundamental Agents for GUI Automation
Paper • 2508.15144 • Published • 65 -
Do What? Teaching Vision-Language-Action Models to Reject the Impossible
Paper • 2508.16292 • Published • 9 -
CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification
Paper • 2508.21046 • Published • 9 -
Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents
Paper • 2508.19493 • Published • 11 -
EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control
Paper • 2508.21112 • Published • 77 -
UItron: Foundational GUI Agent with Advanced Perception and Planning
Paper • 2508.21767 • Published • 12 -
Robix: A Unified Model for Robot Interaction, Reasoning and Planning
Paper • 2509.01106 • Published • 52 -
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Paper • 2509.02544 • Published • 125 -
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Paper • 2509.09372 • Published • 248 -
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Paper • 2509.09674 • Published • 80 -
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
Paper • 2509.06951 • Published • 32 -
UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning
Paper • 2509.11543 • Published • 49 -
Nav-R1: Reasoning and Navigation in Embodied Scenes
Paper • 2509.10884 • Published • 9 -
BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
Paper • 2509.15566 • Published • 14 -
Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agents
Paper • 2509.15233 • Published • 2 -
A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
Paper • 2509.15937 • Published • 20 -
RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation
Paper • 2509.15212 • Published • 22 -
D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents
Paper • 2509.21799 • Published • 9 -
Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation
Paper • 2509.23866 • Published • 14 -
PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images
Paper • 2509.25185 • Published • 5 -
UniMIC: Token-Based Multimodal Interactive Coding for Human-AI Collaboration
Paper • 2509.22570 • Published • 4 -
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models
Paper • 2510.01623 • Published • 12 -
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
Paper • 2510.00406 • Published • 66 -
Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning
Paper • 2510.14300 • Published • 12 -
VLA^2: Empowering Vision-Language-Action Models with an Agentic Framework for Unseen Concept Manipulation
Paper • 2510.14902 • Published • 17 -
InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
Paper • 2510.13778 • Published • 17 -
X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
Paper • 2510.10274 • Published • 16 -
DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
Paper • 2510.12801 • Published • 13 -
Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning
Paper • 2510.11027 • Published • 23 -
ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding
Paper • 2510.11498 • Published • 11 -
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
Paper • 2510.19430 • Published • 52 -
DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agents
Paper • 2510.19336 • Published • 17 -
PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments
Paper • 2510.21111 • Published • 3 -
π_RL: Online RL Fine-tuning for Flow-based Vision-Language-Action Models
Paper • 2510.25889 • Published • 66 -
RoboOmni: Proactive Robot Manipulation in Omni-modal Context
Paper • 2510.23763 • Published • 56 -
From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors
Paper • 2510.17439 • Published • 28 -
World Simulation with Video Foundation Models for Physical AI
Paper • 2511.00062 • Published • 45 -
Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process
Paper • 2511.01718 • Published • 7 -
A Survey on Efficient Vision-Language-Action Models
Paper • 2510.24795 • Published • 6 -
iFlyBot-VLA Technical Report
Paper • 2511.01914 • Published • 7 -
Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization
Paper • 2510.25616 • Published • 105 -
DeepEyesV2: Toward Agentic Multimodal Model
Paper • 2511.05271 • Published • 45 -
Visual Spatial Tuning
Paper • 2511.05491 • Published • 52 -
Robot Learning from a Physical World Model
Paper • 2511.07416 • Published • 32 -
UniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist
Paper • 2511.08521 • Published • 38 -
AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models
Paper • 2511.10017 • Published • 7 -
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
Paper • 2511.09515 • Published • 20 -
WebVIA: A Web-based Vision-Language Agentic Framework for Interactive and Verifiable UI-to-Code Generation
Paper • 2511.06251 • Published • 14 -
Orion: A Unified Visual Agent for Multimodal Perception, Advanced Visual Reasoning and Execution
Paper • 2511.14210 • Published • 21 -
MiMo-Embodied: X-Embodied Foundation Model Technical Report
Paper • 2511.16518 • Published • 26 -
EvoVLA: Self-Evolving Vision-Language-Action Model
Paper • 2511.16166 • Published • 6 -
RynnVLA-002: A Unified Vision-Language-Action and World Model
Paper • 2511.17502 • Published • 28 -
Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight
Paper • 2511.16175 • Published • 12 -
VLA-4D: Embedding 4D Awareness into Vision-Language-Action Models for SpatioTemporally Coherent Robotic Manipulation
Paper • 2511.17199 • Published • 8 -
MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots
Paper • 2511.17889 • Published • 5 -
Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
Paper • 2511.19900 • Published • 48 -
Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
Paper • 2511.21678 • Published • 12 -
DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action
Paper • 2511.22134 • Published • 22 -
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Paper • 2511.20785 • Published • 187 -
VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference
Paper • 2512.01031 • Published • 26 -
WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning
Paper • 2512.02425 • Published • 25 -
SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead
Paper • 2512.00903 • Published • 7 -
SIMA 2: A Generalist Embodied Agent for Virtual Worlds
Paper • 2512.04797 • Published • 25 -
Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach
Paper • 2512.02834 • Published • 41 -
VideoVLA: Video Generators Can Be Generalizable Robot Manipulators
Paper • 2512.06963 • Published • 4 -
HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action Models
Paper • 2512.09928 • Published • 14 -
UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving
Paper • 2512.09864 • Published • 12 -
Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos
Paper • 2512.13080 • Published • 17 -
VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer
Paper • 2512.11891 • Published • 10 -
An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges
Paper • 2512.11362 • Published • 22 -
AdaTooler-V: Adaptive Tool-Use for Images and Videos
Paper • 2512.16918 • Published • 14 -
Step-GUI Technical Report
Paper • 2512.15431 • Published • 132 -
Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
Paper • 2512.16760 • Published • 15 -
EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models
Paper • 2512.14666 • Published • 10 -
GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training
Paper • 2512.13043 • Published • 5 -
Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone
Paper • 2512.22615 • Published • 49 -
OmniAgent: Audio-Guided Active Perception Agent for Omnimodal Audio-Video Understanding
Paper • 2512.23646 • Published • 15 -
SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning
Paper • 2512.24330 • Published • 36 -
Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning
Paper • 2601.06943 • Published • 215 -
VLingNav: Embodied Navigation with Adaptive Reasoning and Visual-Assisted Linguistic Memory
Paper • 2601.08665 • Published • 8 -
ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models
Paper • 2601.11404 • Published • 26 -
MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents
Paper • 2601.12346 • Published • 49 -
BayesianVLA: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
Paper • 2601.15197 • Published • 54 -
TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
Paper • 2601.14133 • Published • 61 -
VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents
Paper • 2601.16973 • Published • 40 -
DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation
Paper • 2601.22153 • Published • 73 -
A Pragmatic VLA Foundation Model
Paper • 2601.18692 • Published • 49 -
Shallow-π: Knowledge Distillation for Flow-based VLAs
Paper • 2601.20262 • Published • 2 -
Green-VLA: Staged Vision-Language-Action Model for Generalist Robots
Paper • 2602.00919 • Published • 315 -
Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
Paper • 2601.22060 • Published • 154