{"total":95,"rows":[{"id":"2505.23705","title":"Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better","created":"2025-05-29","cited_by_count":146,"area":"mllm"},{"id":"2509.09372","title":"VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model","created":"2025-09-11","cited_by_count":145,"area":"mllm"},{"id":"2510.07077","title":"Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications","created":"2025-10-08","cited_by_count":84,"area":"mllm"},{"id":"2506.07961","title":"BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models","created":"2025-06-09","cited_by_count":80,"area":"mllm"},{"id":"2505.04769","title":"Vision-Language-Action (VLA) Models: Concepts, Progress, Applications and Challenges","created":"2025-05-07","cited_by_count":74,"area":"mllm"},{"id":"2508.21046","title":"CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification","created":"2025-08-28","cited_by_count":74,"area":"mllm"},{"id":"2601.02456","title":"InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation","created":"2026-01-05","cited_by_count":50,"area":"mllm"},{"id":"2509.19012","title":"Pure Vision Language Action (VLA) Models: A Comprehensive Survey","created":"2025-09-23","cited_by_count":49,"area":"mllm"},{"id":"2601.03309","title":"VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models","created":"2026-01-06","cited_by_count":39,"area":"mllm"},{"id":"2510.25616","title":"Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization","created":"2025-10-29","cited_by_count":35,"area":"mllm"},{"id":"2506.19816","title":"CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling","created":"2025-06-24","cited_by_count":25,"area":"mllm"},{"id":"2509.11417","title":"Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations","created":"2025-09-14","cited_by_count":25,"area":"mllm"},{"id":"2510.17801","title":"Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain","created":"2025-10-20","cited_by_count":25,"area":"mllm"},{"id":"2506.09930","title":"From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models","created":"2025-06-11","cited_by_count":23,"area":"mllm"},{"id":"2509.26642","title":"MLA: A Multisensory Language-Action Model for Multimodal Understanding and Forecasting in Robotic Manipulation","created":"2025-09-30","cited_by_count":23,"area":"mllm"},{"id":"2510.10991","title":"A Survey on Agentic Multimodal Large Language Models","created":"2025-10-13","cited_by_count":23,"area":"mllm"},{"id":"2609.10522","title":"Show-Harness: Just a VLM Agent Can Play Robots","created":"2026-09-09","cited_by_count":20,"area":"mllm"},{"id":"2511.18810","title":"MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action Agent","created":"2025-11-24","cited_by_count":18,"area":"mllm"},{"id":"2512.11218","title":"Seeing to Act, Prompting to Specify: A Bayesian Factorization of Vision Language Action Policy","created":"2025-12-12","cited_by_count":18,"area":"mllm"},{"id":"2601.08325","title":"ActiveVLA: Injecting Active Perception into Vision-Language-Action Models for Precise 3D Robotic Manipulation","created":"2026-01-13","cited_by_count":18,"area":"mllm"},{"id":"2602.15397","title":"ActionCodec: What Makes for Good Action Tokenizers","created":"2026-02-17","cited_by_count":18,"area":"mllm"},{"id":"2506.20966","title":"Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends","created":"2025-06-26","cited_by_count":17,"area":"mllm"},{"id":"2510.01711","title":"Contrastive Representation Regularization for Vision-Language-Action Models","created":"2025-10-02","cited_by_count":17,"area":"mllm"},{"id":"2511.02776","title":"XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations","created":"2025-11-04","cited_by_count":15,"area":"mllm"},{"id":"2511.22697","title":"Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations","created":"2025-11-27","cited_by_count":15,"area":"mllm"},{"id":"2601.14133","title":"TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers","created":"2026-01-20","cited_by_count":14,"area":"mllm"},{"id":"2602.09973","title":"RoboInter: A Holistic Intermediate Representation Suite Towards Robotic Manipulation","created":"2026-02-10","cited_by_count":14,"area":"mllm"},{"id":"2603.06148","title":"VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models","created":"2026-03-06","cited_by_count":14,"area":"mllm"},{"id":"2510.25122","title":"NanoVLA: Routing Decoupled Vision-Language Understanding for Nano-sized Generalist Robotic Policies","created":"2025-10-29","cited_by_count":12,"area":"mllm"},{"id":"2602.18532","title":"VLANeXt: Recipes for Building Strong VLA Models","created":"2026-02-20","cited_by_count":12,"area":"mllm"},{"id":"2512.16793","title":"PhysBrain: Human Egocentric Data as a Bridge from Vision Language Models to Physical Intelligence","created":"2025-12-18","cited_by_count":11,"area":"mllm"},{"id":"2512.22519","title":"Clutter-Robust Vision-Language-Action Models through Object-Centric and Geometry Grounding","created":"2025-12-27","cited_by_count":10,"area":"mllm"},{"id":"2604.01259","title":"Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models","created":"2026-04-01","cited_by_count":10,"area":"mllm"},{"id":"2605.12369","title":"GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization","created":"2026-05-12","cited_by_count":10,"area":"mllm"},{"id":"2511.00917","title":"Maestro: Orchestrating Robotics Modules with Vision-Language Models for Zero-Shot Generalist Robots","created":"2025-11-02","cited_by_count":9,"area":"mllm"},{"id":"2512.01946","title":"Guardian: Detecting Robotic Planning and Execution Errors with Vision-Language Models","created":"2025-12-01","cited_by_count":9,"area":"mllm"},{"id":"2602.10109","title":"ST4VLA: Spatially Guided Training for Vision-Language-Action Models","created":"2026-02-10","cited_by_count":9,"area":"mllm"},{"id":"2510.23763","title":"RoboOmni: Proactive Robot Manipulation in Omni-modal Context","created":"2025-10-27","cited_by_count":8,"area":"mllm"},{"id":"2601.16065","title":"DTP: A Simple yet Effective Distracting Token Pruning Framework for Vision-Language Action Models","created":"2026-01-22","cited_by_count":8,"area":"mllm"},{"id":"2602.01816","title":"Seeing Is Believing? A Benchmark for Multimodal Large Language Models on Visual Illusions and Anomalies","created":"2026-02-02","cited_by_count":8,"area":"mllm"},{"id":"2511.19878","title":"MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization","created":"2025-11-25","cited_by_count":7,"area":"mllm"},{"id":"2603.24393","title":"3D-Mix for VLA: A Plug-and-Play Module for Integrating VGGT-based 3D Information into Vision-Language-Action Models","created":"2026-03-25","cited_by_count":6,"area":"mllm"},{"id":"2605.28548","title":"GEM: Generative Supervision Helps Embodied Intelligence","created":"2026-05-27","cited_by_count":6,"area":"mllm"},{"id":"2607.13429","title":"Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment","created":"2026-07-15","cited_by_count":6,"area":"mllm"},{"id":"2508.16845","title":"NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows","created":"2025-08-23","cited_by_count":5,"area":"mllm"},{"id":"2603.11219","title":"Senna-2: Aligning VLM and End-to-End Driving Policy for Consistent Decision Making and Planning","created":"2026-03-11","cited_by_count":5,"area":"mllm"},{"id":"2606.12366","title":"APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies","created":"2026-06-10","cited_by_count":5,"area":"mllm"},{"id":"2506.20566","title":"HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction","created":"2025-06-25","cited_by_count":4,"area":"mllm"},{"id":"2603.09826","title":"VLM-Loc: Localization in Point Cloud Maps via Vision-Language Models","created":"2026-03-10","cited_by_count":4,"area":"mllm"},{"id":"2610.01939","title":"Fewer Tokens, Better Action: GPT-6 Astra Robot Agents with 14% Higher Success Rate but 65% Fewer Tokens","created":"2026-10-01","cited_by_count":4,"area":"mllm"},{"id":"2505.20503","title":"Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review","created":"2025-05-26","cited_by_count":3,"area":"mllm"},{"id":"2510.14968","title":"RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks","created":"2025-10-16","cited_by_count":3,"area":"mllm"},{"id":"2512.04381","title":"FALCON: Actively Decoupled Visuomotor Policies for Loco-Manipulation with Foundation-Model-Based Coordination","created":"2025-12-04","cited_by_count":3,"area":"mllm"},{"id":"2602.20566","title":"BFA++: Hierarchical Best-Feature-Aware Token Prune for Multi-View Vision Language Action Model","created":"2026-02-24","cited_by_count":3,"area":"mllm"},{"id":"2605.17144","title":"Contrastive Conceptor Activation Steering (COAST): Unlocking Vision-Language-Action Models through Hidden States","created":"2026-05-16","cited_by_count":3,"area":"mllm"},{"id":"2605.30307","title":"Grounded 3D-Aware Spatial Vision-Language Modeling","created":"2026-05-28","cited_by_count":3,"area":"mllm"},{"id":"2608.07596","title":"LIRA: Local Cross-Layer Information Routing for Vision-Language-Action Decoding","created":"2026-08-06","cited_by_count":3,"area":"mllm"},{"id":"2609.29389","title":"Robo-Harness K1: Harnessing Robot-Use Agents via Perception Augmentation","created":"2026-09-24","cited_by_count":3,"area":"mllm"},{"id":"2512.04308","title":"ResponsibleRobotBench: Benchmarking Responsible Robot Manipulation using Multi-modal Large Language Models","created":"2025-12-03","cited_by_count":2,"area":"mllm"},{"id":"2512.11899","title":"Read or Ignore? A Unified Benchmark for Typographic-Attack Robustness and Text Recognition in Vision-Language Models","created":"2025-12-10","cited_by_count":2,"area":"mllm"},{"id":"2603.18532","title":"Scaling Sim-to-Real VLA Reinforcement Learning with Generative 3D Worlds","created":"2026-03-19","cited_by_count":2,"area":"mllm"},{"id":"2604.20012","title":"EmbodiedMidtrain: Bridging the Gap between Vision-Language Models and Vision-Language-Action Models via Mid-training","created":"2026-04-21","cited_by_count":2,"area":"mllm"},{"id":"2605.24890","title":"QuoVLA: Quotient Space for Vision-Language-Action Models","created":"2026-05-24","cited_by_count":2,"area":"mllm"},{"id":"2606.27663","title":"Direct Action-Head Injection of A Grounded 3D Point Unlocks Spatial and Task Generalization","created":"2026-06-26","cited_by_count":2,"area":"mllm"},{"id":"2607.18580","title":"STeP: Signal Temporal Logic for Precise Specifications for Action Generation with Vision Language Models","created":"2026-07-20","cited_by_count":2,"area":"mllm"},{"id":"2609.06079","title":"LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies","created":"2026-09-05","cited_by_count":2,"area":"mllm"},{"id":"2609.18374","title":"Decoupling Vision, Language, and Action for Efficient Multi-Task Robot Policies","created":"2026-09-16","cited_by_count":2,"area":"mllm"},{"id":"2512.20876","title":"Proprioception Enhances Vision Language Model in Generating Captions and Subtask Segmentations for Robot Task","created":"2025-12-24","cited_by_count":1,"area":"mllm"},{"id":"2601.18733","title":"Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge","created":"2026-01-26","cited_by_count":1,"area":"mllm"},{"id":"2605.02600","title":"CoRAL: Contact-Rich Adaptive LLM-based Control for Robotic Manipulation","created":"2026-05-04","cited_by_count":1,"area":"mllm"},{"id":"2606.05758","title":"DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language Models","created":"2026-06-04","cited_by_count":1,"area":"mllm"},{"id":"2606.22794","title":"UniFS: Unified Fast-to-Slow Hierarchical Architecture for Vision-Language-Action Models","created":"2026-06-22","cited_by_count":1,"area":"mllm"},{"id":"2606.26095","title":"Learning Action Priors for Cross-embodiment Robot Manipulation","created":"2026-06-24","cited_by_count":1,"area":"mllm"},{"id":"2606.29350","title":"Fast Enough to Act: Spatio-Temporal Visual Token Merging for Low-Latency Robotic VLMs and VLAs","created":"2026-06-28","cited_by_count":1,"area":"mllm"},{"id":"2608.05042","title":"BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation","created":"2026-08-05","cited_by_count":1,"area":"mllm"},{"id":"2608.24115","title":"PonderPounce: A Pretrained MLLM as an Episode Context Engine for Robot Control","created":"2026-08-25","cited_by_count":1,"area":"mllm"},{"id":"2602.04515","title":"EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models","created":"2026-02-04","cited_by_count":0,"area":"mllm"},{"id":"2604.16067","title":"AEGIS: Anchor-Enforced Gradient Isolation for Knowledge-Preserving Vision-Language-Action Fine-Tuning","created":"2026-04-17","cited_by_count":0,"area":"mllm"},{"id":"2605.29577","title":"Mitigating State Aliasing in Vision-Language-Action Models via Inverse Dynamics Learning","created":"2026-05-28","cited_by_count":0,"area":"mllm"},{"id":"2606.07653","title":"A Dataset for Dynamic Human Preferences for Vision Language Models","created":"2026-06-02","cited_by_count":0,"area":"mllm"},{"id":"2607.13597","title":"Semantic Anchoring for Robotic Action Representations","created":"2026-07-15","cited_by_count":0,"area":"mllm"},{"id":"2607.23909","title":"WorldDiT: A Unified Diffusion Architecture for World and Action Modeling","created":"2026-07-27","cited_by_count":0,"area":"mllm"},{"id":"2609.03276","title":"R2S-Eval: Robot Evaluation with Real-to-Sim Calibration via Vision-Language Models","created":"2026-09-03","cited_by_count":0,"area":"mllm"},{"id":"2609.08224","title":"3DWay: Generalizing Robot Manipulation via 3D Consistent Waypoints","created":"2026-09-08","cited_by_count":0,"area":"mllm"},{"id":"2609.12075","title":"Efficient Vision-Language-Action Management and Serving for Robot Factories","created":"2026-09-10","cited_by_count":0,"area":"mllm"},{"id":"2609.14973","title":"PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models","created":"2026-09-14","cited_by_count":0,"area":"mllm"},{"id":"2609.22293","title":"Validating, Not Sampling: Region-Level Robustness of Vision-Language and Vision-Language-Action Models","created":"2026-09-14","cited_by_count":0,"area":"mllm"},{"id":"2609.26071","title":"StrataVLA: Hierarchical and Efficient 3D Geometric Grounding for Vision-Language-Action Models","created":"2026-08-03","cited_by_count":0,"area":"mllm"},{"id":"2609.29382","title":"Decoupled Early Exits for Task-Dependent Compute Allocation in Flow-Matching VLAs","created":"2026-09-24","cited_by_count":0,"area":"mllm"},{"id":"2609.34061","title":"Quantile Head for Vision-Language-Action Models","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2610.02161","title":"DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication","created":"2026-10-01","cited_by_count":0,"area":"mllm"},{"id":"2610.05273","title":"When and What to Prune? Stage-Aware Visual Token Pruning for Efficient VLA","created":"2026-10-04","cited_by_count":0,"area":"mllm"},{"id":"2610.11416","title":"Rewiring Semantics, Dynamics, and Control: A Simple yet Effective Action-Centric Tri-Stream Transformer","created":"2026-10-08","cited_by_count":0,"area":"mllm"},{"id":"2610.14039","title":"RAIN: Robotic Task Generalization with Region-Aware Interaction Networks","created":"2026-10-02","cited_by_count":0,"area":"mllm"},{"id":"2610.15766","title":"SurgiCLAW: An Interpretable Atomic-Skill Agent for Precision Robotic Micromanipulation","created":"2026-10-11","cited_by_count":0,"area":"mllm"}],"next_cursor":null}