{"total":89,"rows":[{"id":"2507.15597","title":"Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos","created":"2025-07-21","cited_by_count":102,"area":"vla"},{"id":"2507.01925","title":"A Survey on Vision-Language-Action Models: An Action Tokenization Perspective","created":"2025-07-02","cited_by_count":96,"area":"vla"},{"id":"2508.20072","title":"Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies","created":"2025-08-27","cited_by_count":90,"area":"vla"},{"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":"2605.00078","title":"Being-H0.7: A Latent World-Action Model from Egocentric Videos","created":"2026-04-30","cited_by_count":75,"area":"wm"},{"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":"2503.03480","title":"SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning","created":"2025-03-05","cited_by_count":72,"area":"vla"},{"id":"2510.21571","title":"Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos","created":"2025-10-24","cited_by_count":70,"area":"vla"},{"id":"2508.13073","title":"Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey","created":"2025-08-18","cited_by_count":69,"area":"vla"},{"id":"2601.12993","title":"Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization","created":"2026-01-19","cited_by_count":66,"area":"vla"},{"id":"2512.06963","title":"VideoVLA: Video Generators Can Be Generalizable Robot Manipulators","created":"2025-12-07","cited_by_count":64,"area":null},{"id":"2507.00917","title":"A Survey: Learning Embodied Intelligence from Physical Simulators and World Models","created":"2025-07-01","cited_by_count":51,"area":"wm"},{"id":"2509.19012","title":"Pure Vision Language Action (VLA) Models: A Comprehensive Survey","created":"2025-09-23","cited_by_count":49,"area":"mllm"},{"id":"2505.23189","title":"TrackVLA: Embodied Visual Tracking in the Wild","created":"2025-05-29","cited_by_count":47,"area":null},{"id":"2507.10672","title":"Vision Language Action Models in Robotic Manipulation: A Systematic Review","created":"2025-07-14","cited_by_count":38,"area":"vla"},{"id":"2505.15660","title":"Exploring the Limits of Vision-Language-Action Manipulations in Cross-task Generalization","created":"2025-05-21","cited_by_count":33,"area":"vla"},{"id":"2511.09484","title":"SPIDER: Scalable Physics-Informed Dexterous Retargeting","created":"2025-11-12","cited_by_count":32,"area":null},{"id":"2512.22539","title":"VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models","created":"2025-12-27","cited_by_count":31,"area":"vla"},{"id":"2507.05198","title":"EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling","created":"2025-07-07","cited_by_count":29,"area":"wm"},{"id":"2503.16365","title":"JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse","created":"2025-03-20","cited_by_count":28,"area":"mllm"},{"id":"2604.04161","title":"Adaptive Action Chunking at Inference-time for Vision-Language-Action Models","created":"2026-04-05","cited_by_count":28,"area":"vla"},{"id":"2512.02834","title":"Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach","created":"2025-12-02","cited_by_count":21,"area":"lr"},{"id":"2509.02055","title":"Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance","created":"2025-09-02","cited_by_count":20,"area":"vla"},{"id":"2606.05254","title":"Flash-WAM: Modality-Aware Distillation for World Action Models","created":"2026-06-03","cited_by_count":19,"area":"wm"},{"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":"2510.07134","title":"TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking","created":"2025-10-08","cited_by_count":17,"area":"vla"},{"id":"2603.22003","title":"VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models","created":"2026-03-23","cited_by_count":17,"area":"vla"},{"id":"2512.13080","title":"Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos","created":"2025-12-15","cited_by_count":13,"area":"vla"},{"id":"2508.09822","title":"Physical Autoregressive Model for Robotic Manipulation without Action Pretraining","created":"2025-08-13","cited_by_count":12,"area":null},{"id":"2603.08361","title":"$\\Delta$VLA: Prior-Guided Vision-Language-Action Models via World Knowledge Variation","created":"2026-03-09","cited_by_count":10,"area":"vla"},{"id":"2511.00139","title":"End-to-End Dexterous Arm-Hand VLA Policies via Shared Autonomy: VR Teleoperation Augmented by Autonomous Hand VLA Policy for Efficient Data Collection","created":"2025-10-31","cited_by_count":9,"area":"vla"},{"id":"2605.18722","title":"Dexora: Open-source VLA for High-DoF Bimanual Dexterity","created":"2026-05-18","cited_by_count":9,"area":"vla"},{"id":"2507.02190","title":"cVLA: Towards Efficient Camera-Space VLAs","created":"2025-07-02","cited_by_count":8,"area":"vla"},{"id":"2601.18323","title":"TC-IDM: Grounding Video Generation for Executable Zero-shot Robot Motion","created":"2026-01-26","cited_by_count":8,"area":"wm"},{"id":"2604.14125","title":"HiVLA: A Visual-Grounded-Centric Hierarchical Embodied Manipulation System","created":"2026-04-15","cited_by_count":8,"area":"lr"},{"id":"2606.12497","title":"$\\mu$VLA: On Recurrent Memory for Partially Observable Manipulation in VLA Models","created":"2026-06-10","cited_by_count":8,"area":"vla"},{"id":"2503.02505","title":"ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment","created":"2025-03-04","cited_by_count":7,"area":null},{"id":"2508.15201","title":"Survey of Vision-Language-Action Models for Embodied Manipulation","created":"2025-08-21","cited_by_count":7,"area":"vla"},{"id":"2602.13444","title":"FlowHOI: Flow-based Semantics-Grounded Generation of Hand-Object Interactions for Dexterous Robot Manipulation","created":"2026-02-13","cited_by_count":7,"area":null},{"id":"2509.23655","title":"Focusing on What Matters: Object-Agent-centric Tokenization for Vision Language Action models","created":"2025-09-28","cited_by_count":6,"area":"vla"},{"id":"2603.09121","title":"DexHiL: A Human-in-the-Loop Framework for Vision-Language-Action Model Post-Training in Dexterous Manipulation","created":"2026-03-10","cited_by_count":6,"area":"vla"},{"id":"2605.10821","title":"UniSteer: Unified Noise Steering for Efficient Human-Guided VLA Adaptation","created":"2026-05-11","cited_by_count":6,"area":"vla"},{"id":"2509.24524","title":"PhysiAgent: An Embodied Agent Framework in Physical World","created":"2025-09-29","cited_by_count":5,"area":"vla"},{"id":"2512.24210","title":"GR-Dexter Technical Report","created":"2025-12-30","cited_by_count":5,"area":"vla"},{"id":"2601.16667","title":"ReViP: Mitigating False Completion in Vision-Language-Action Models with Vision-Proprioception Rebalance","created":"2026-01-23","cited_by_count":5,"area":"vla"},{"id":"2506.00098","title":"Interactive Imitation Learning for Dexterous Robotic Manipulation: Challenges and Perspectives -- A Survey","created":"2025-05-30","cited_by_count":4,"area":"offlinerl"},{"id":"2512.03724","title":"PosA-VLA: Enhancing Action Generation via Pose-Conditioned Anchor Attention","created":"2025-12-03","cited_by_count":4,"area":"vla"},{"id":"2512.13380","title":"Universal Dexterous Functional Grasping via Demonstration-Editing Reinforcement Learning","created":"2025-12-15","cited_by_count":4,"area":"deeprl"},{"id":"2601.01618","title":"Action-Sketcher: From Reasoning to Action via Visual Sketches for Long-Horizon Robotic Manipulation","created":"2026-01-04","cited_by_count":4,"area":"vla"},{"id":"2601.16046","title":"DextER: Language-driven Dexterous Grasp Generation with Embodied Reasoning","created":"2026-01-22","cited_by_count":4,"area":"lr"},{"id":"2602.03153","title":"When Attention Betrays: Erasing Backdoor Attacks in Robotic Policies by Reconstructing Visual Tokens","created":"2026-02-03","cited_by_count":4,"area":"vla"},{"id":"2605.11817","title":"See What Matters: Differentiable Grid Sample Pruning for Generalizable Vision-Language-Action Model","created":"2026-05-12","cited_by_count":4,"area":"vla"},{"id":"2605.20373","title":"SUGAR: A Scalable Human-Video-Driven Generalizable Humanoid Loco-Manipulation Learning Framework","created":"2026-05-19","cited_by_count":3,"area":null},{"id":"2608.04196","title":"SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation","created":"2026-08-04","cited_by_count":3,"area":null},{"id":"2505.24156","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","created":"2025-05-30","cited_by_count":2,"area":"vla"},{"id":"2511.13327","title":"ZeroDexGrasp: Zero-Shot Task-Oriented Dexterous Grasp Synthesis with Prompt-Based Multi-Stage Semantic Reasoning","created":"2025-11-17","cited_by_count":2,"area":"lr"},{"id":"2511.13710","title":"From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands","created":"2025-11-17","cited_by_count":2,"area":null},{"id":"2602.23583","title":"VCA: Vision-Click-Action Framework for Precise Manipulation of Segmented Objects in Target Ambiguous Environments","created":"2026-02-27","cited_by_count":2,"area":"vla"},{"id":"2605.01772","title":"Anticipation-VLA: Solving Long-Horizon Embodied Tasks via Anticipation-based Subgoal Generation","created":"2026-05-03","cited_by_count":2,"area":"vla"},{"id":"2605.09005","title":"Towards Backdoor-Based Ownership Verification for Vision-Language-Action Models","created":"2026-05-09","cited_by_count":2,"area":"vla"},{"id":"2605.15157","title":"Hand-in-the-Loop: Improving VLA Policies for Dexterous Manipulation via Seamless Hand-Arm Intervention","created":"2026-05-14","cited_by_count":2,"area":"vla"},{"id":"2606.08530","title":"GEAR-VLA: Learning Geometry-Aware Action Representations for Generalizable Robotic Manipulation","created":"2026-06-07","cited_by_count":2,"area":"vla"},{"id":"2606.22136","title":"Wh0: Generative World Models as Scalable Sources of Egocentric Human Hand Manipulation Data","created":"2026-06-20","cited_by_count":2,"area":"wm"},{"id":"2505.09731","title":"Unfettered Forceful Skill Acquisition with Physical Reasoning and Coordinate Frame Labeling","created":"2025-05-14","cited_by_count":1,"area":"lr"},{"id":"2509.24917","title":"From Code to Action: Hierarchical Learning of Diffusion-VLM Policies","created":"2025-09-29","cited_by_count":1,"area":"diffusion"},{"id":"2511.01791","title":"GenDexHand: Generative Simulation for Dexterous Hands","created":"2025-11-03","cited_by_count":1,"area":null},{"id":"2512.02609","title":"SAM2Grasp: Resolve Multi-modal Grasping via Prompt-conditioned Temporal Action Prediction","created":"2025-12-02","cited_by_count":1,"area":"offlinerl"},{"id":"2602.00686","title":"Learning to Accelerate Vision-Language-Action Models through Adaptive Visual Token Caching","created":"2026-01-31","cited_by_count":1,"area":"vla"},{"id":"2602.05233","title":"MobileManiBench: Simplifying Model Verification for Mobile Manipulation","created":"2026-02-05","cited_by_count":1,"area":"vla"},{"id":"2605.30226","title":"BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models","created":"2026-05-28","cited_by_count":1,"area":"vla"},{"id":"2606.20135","title":"Frequency-Aware Flow Matching for Continuous and Consistent Robotic Action Generation","created":"2026-06-18","cited_by_count":1,"area":"diffusion"},{"id":"2609.04096","title":"Adaptive Vision-Language Grasping via Composable Foundation Priors and Generalizable Grasp Synthesis","created":"2026-09-03","cited_by_count":1,"area":null},{"id":"2507.21589","title":"Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2510.12866","title":"Learning to Grasp Anything by Playing with Random Toys","created":"2025-10-14","cited_by_count":0,"area":null},{"id":"2512.09706","title":"Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning","created":"2025-12-10","cited_by_count":0,"area":"agents"},{"id":"2603.03960","title":"Structural Action Transformer for 3D Dexterous Manipulation","created":"2026-03-04","cited_by_count":0,"area":"offlinerl"},{"id":"2603.07136","title":"DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation","created":"2026-03-07","cited_by_count":0,"area":"diffusion"},{"id":"2603.25405","title":"System Design for Maintaining Internal State Consistency in Long-Horizon Robotic Tabletop Games","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2604.08410","title":"BLaDA: Bridging Language to Functional Dexterous Actions within 3DGS Fields","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2605.13117","title":"SECOND-Grasp: Semantic Contact-guided Dexterous Grasping","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2606.13677","title":"Mana: Dexterous Manipulation of Articulated Tools","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2607.04162","title":"ACE: Agentic Control for Embodied Manipulation via Zero-shot Workflow Reasoning","created":"2026-07-05","cited_by_count":0,"area":"agents"},{"id":"2607.06438","title":"WristMimic: Full-Body Humanoid Control with Wrist-Guided Manipulation","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.14341","title":"Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.03099","title":"What Language Does and What the Evidence Supports: A Functional Role Taxonomy and Evidence Audit of Language Grounding in Embodied Agents","created":"2026-08-04","cited_by_count":0,"area":"agents"},{"id":"2608.14028","title":"AdvDex: Learning Dexterous Manipulation from Human Demonstrations via Joint-Aligned Actions and Adversarial Learning","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.24603","title":"Gripper-aware Vision Language Action Models","created":"2026-08-25","cited_by_count":0,"area":"vla"},{"id":"2609.23578","title":"AR-WAM: A Visual-Conditioned Agent-Ready World Action Model for Robotic Manipulation","created":"2026-09-20","cited_by_count":0,"area":"wm"},{"id":"2610.14691","title":"DexCast: Learning Real-World Dexterous Control from Human Videos","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}