{"total":57,"rows":[{"id":"2504.16054","title":"$\\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization","created":"2025-04-22","cited_by_count":1761,"area":"vla"},{"id":"2405.12213","title":"Octo: An Open-Source Generalist Robot Policy","created":"2024-05-20","cited_by_count":1484,"area":"vla"},{"id":"2405.14093","title":"A Survey on Vision-Language-Action Models for Embodied AI","created":"2024-05-23","cited_by_count":279,"area":"vla"},{"id":"2410.13816","title":"Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance","created":"2024-10-17","cited_by_count":106,"area":"vla"},{"id":"2503.03734","title":"OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction","created":"2025-03-05","cited_by_count":54,"area":"vla"},{"id":"2508.19958","title":"Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation","created":"2025-08-27","cited_by_count":48,"area":"vla"},{"id":"2509.23224","title":"Leave No Observation Behind: Real-time Correction for VLA Action Chunks","created":"2025-09-27","cited_by_count":46,"area":"vla"},{"id":"2412.15182","title":"STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning","created":"2024-12-19","cited_by_count":44,"area":"vla"},{"id":"2302.12610","title":"A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter","created":"2023-02-24","cited_by_count":34,"area":"vla"},{"id":"2512.16760","title":"Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future","created":"2025-12-18","cited_by_count":33,"area":"vla"},{"id":"2502.09268","title":"GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation","created":"2025-02-13","cited_by_count":27,"area":"vla"},{"id":"2502.09886","title":"Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos","created":"2025-02-14","cited_by_count":26,"area":"vla"},{"id":"2509.14117","title":"GeoAware-VLA: Implicit Geometry Aware Vision-Language-Action Model","created":"2025-09-17","cited_by_count":26,"area":"vla"},{"id":"2412.01034","title":"Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control","created":"2024-12-02","cited_by_count":25,"area":"vla"},{"id":"2512.23864","title":"Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation","created":"2025-12-29","cited_by_count":18,"area":"vla"},{"id":"2509.22643","title":"VLA-Reasoner: Empowering Vision-Language-Action Models with Reasoning via Online Monte Carlo Tree Search","created":"2025-09-26","cited_by_count":13,"area":"vla"},{"id":"2511.16175","title":"Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight","created":"2025-11-20","cited_by_count":13,"area":"vla"},{"id":"2606.17055","title":"T-Rex: Tactile-Reactive Dexterous Manipulation","created":"2026-06-15","cited_by_count":13,"area":"vla"},{"id":"2505.15304","title":"Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control","created":"2025-05-21","cited_by_count":12,"area":"vla"},{"id":"2605.25477","title":"EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models","created":"2026-05-25","cited_by_count":11,"area":"vla"},{"id":"2512.13100","title":"OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning","created":"2025-12-15","cited_by_count":10,"area":"vla"},{"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":"2511.10008","title":"Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks","created":"2025-11-13","cited_by_count":9,"area":"vla"},{"id":"2603.01465","title":"Non-Markovian Long-Horizon Robot Manipulation via Keyframe Chaining","created":"2026-03-02","cited_by_count":8,"area":"vla"},{"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":"2601.17885","title":"PEAfowl: Perception-Enhanced Multi-View Vision-Language-Action for Bimanual Manipulation","created":"2026-01-25","cited_by_count":6,"area":"vla"},{"id":"2511.12405","title":"VLA-R: Vision-Language Action Retrieval toward Open-World End-to-End Autonomous Driving","created":"2025-11-16","cited_by_count":5,"area":"vla"},{"id":"2602.13329","title":"HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving","created":"2026-02-11","cited_by_count":5,"area":"vla"},{"id":"2604.01723","title":"Causal Scene Narration with Runtime Safety Supervision for Vision-Language-Action Driving","created":"2026-04-02","cited_by_count":5,"area":"vla"},{"id":"2604.04502","title":"Veo-Act: Enhancing VLA Policies with Frontier Video Models","created":"2026-04-06","cited_by_count":5,"area":"vla"},{"id":"2512.11362","title":"An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges","created":"2025-12-12","cited_by_count":4,"area":"vla"},{"id":"2605.27759","title":"Colosseum V2: Benchmarking Generalization for Vision-Language-Action Models","created":"2026-05-26","cited_by_count":4,"area":"vla"},{"id":"2408.01147","title":"Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following","created":"2024-08-02","cited_by_count":3,"area":"vla"},{"id":"2509.03383","title":"ANNIE: Be Careful of Your Robots","created":"2025-09-03","cited_by_count":3,"area":"vla"},{"id":"2509.13774","title":"Dual-Actor Fine-Tuning of VLA Models: A Talk-and-Tweak Human-in-the-Loop Approach","created":"2025-09-17","cited_by_count":3,"area":"vla"},{"id":"2510.03142","title":"MM-Nav: Multi-View VLA Model for Robust Visual Navigation via Multi-Expert Learning","created":"2025-10-03","cited_by_count":3,"area":"vla"},{"id":"2511.19528","title":"Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories","created":"2025-11-24","cited_by_count":3,"area":"vla"},{"id":"2602.04880","title":"Capturing Visual Environment Structure Correlates with Control Performance","created":"2026-02-04","cited_by_count":3,"area":"vla"},{"id":"2602.22514","title":"SignVLA: A Gloss-Free Vision-Language-Action Framework for Real-Time Sign Language-Guided Robotic Manipulation","created":"2026-02-26","cited_by_count":3,"area":"vla"},{"id":"2606.14255","title":"ReactVLA: Fast and Lightweight Reactive Robot Manipulation via Improved Mean Flow Action Generation","created":"2026-06-12","cited_by_count":3,"area":"vla"},{"id":"2604.18484","title":"XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments","created":"2026-04-20","cited_by_count":2,"area":"vla"},{"id":"2406.16093","title":"Towards Natural Language-Driven Assembly Using Foundation Models","created":"2024-06-23","cited_by_count":1,"area":"vla"},{"id":"2511.14396","title":"Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning","created":"2025-11-18","cited_by_count":1,"area":"vla"},{"id":"2602.04228","title":"Reshaping Action Error Distributions for Reliable Vision-Language-Action Models","created":"2026-02-04","cited_by_count":1,"area":"vla"},{"id":"2604.17787","title":"AnchorRefine: Synergy-Manipulation Based on Trajectory Anchor and Residual Refinement for Vision-Language-Action Models","created":"2026-04-20","cited_by_count":1,"area":"vla"},{"id":"2606.22860","title":"HiL-ResRL: A Model-Agnostic Finetuning Adapter via Human-in-the-loop Residual Reinforcement Learning","created":"2026-06-22","cited_by_count":1,"area":"vla"},{"id":"2404.01932","title":"Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation Tasks","created":"2024-04-02","cited_by_count":0,"area":"vla"},{"id":"2606.21372","title":"NAC: Neural Action Codec for Vision-Language-Action Models","created":"2026-06-19","cited_by_count":0,"area":"vla"},{"id":"2606.23147","title":"Assistron: Bayesian Shared Autonomy with Off-the-shelf Vision-Language-Action Models","created":"2026-06-22","cited_by_count":0,"area":"vla"},{"id":"2608.06688","title":"CrossTracer: Cross-Embodiment Navigation via VLA Model Reasoning and Trace Residuals Adapting","created":"2026-08-07","cited_by_count":0,"area":"vla"},{"id":"2608.26673","title":"PredVLA: Predictive Sensorimotor Modeling for Sub-Million-Parameter Robot Manipulation","created":"2026-08-27","cited_by_count":0,"area":"vla"},{"id":"2609.13231","title":"ShieldVLA: Feasibility-Aware Safety Alignment for Vision-Language-Action Models","created":"2026-09-02","cited_by_count":0,"area":"vla"},{"id":"2609.21216","title":"Fewer Steps, Better Actions: Rethinking Flow-Matching Inference for VLA Policies","created":"2026-09-18","cited_by_count":0,"area":"vla"},{"id":"2609.27734","title":"InfiNoVA: Infinite Novel View Augmentation for Viewpoint Invariant Robot Policies","created":"2026-09-23","cited_by_count":0,"area":"vla"},{"id":"2609.39198","title":"DSDyn-VLA: A Dual-Stream Dynamic Manipulation Framework with Motion Perception, Future Awareness, and Realtime Correction","created":"2026-09-30","cited_by_count":0,"area":"vla"},{"id":"2609.39514","title":"Spike-driven Vision-Language-Action Model","created":"2026-09-30","cited_by_count":0,"area":"vla"},{"id":"2610.00981","title":"NarrativeFlow: Flow-Based Vision-Language-Action Model Using Robot Velocity Fields","created":"2026-10-01","cited_by_count":0,"area":"vla"}],"next_cursor":null}