{"total":150,"rows":[{"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":"2511.16651","title":"InternData-A1: Pioneering High-Fidelity Synthetic Data for Pre-training Generalist Policy","created":"2025-11-20","cited_by_count":50,"area":"vla"},{"id":"2605.30280","title":"Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments","created":"2026-05-28","cited_by_count":44,"area":"vla"},{"id":"2512.22414","title":"Emergence of Human to Robot Transfer in Vision-Language-Action Models","created":"2025-12-27","cited_by_count":42,"area":"vla"},{"id":"2601.04061","title":"CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos","created":"2026-01-07","cited_by_count":31,"area":"vla"},{"id":"2604.11757","title":"StarVLA-$\\alpha$: Reducing Complexity in Vision-Language-Action Systems","created":"2026-04-13","cited_by_count":31,"area":"vla"},{"id":"2602.17659","title":"When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs","created":"2026-02-19","cited_by_count":30,"area":"vla"},{"id":"2602.20309","title":"QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models","created":"2026-02-23","cited_by_count":30,"area":"vla"},{"id":"2607.15330","title":"Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories","created":"2026-07-16","cited_by_count":29,"area":"vla"},{"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":"2605.03269","title":"RLDX-1 Technical Report","created":"2026-05-05","cited_by_count":28,"area":"vla"},{"id":"2601.15197","title":"LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries","created":"2026-01-21","cited_by_count":27,"area":"vla"},{"id":"2602.06556","title":"LIBERO-X: Robustness Litmus for Vision-Language-Action Models","created":"2026-02-06","cited_by_count":22,"area":"vla"},{"id":"2606.20092","title":"EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies","created":"2026-06-18","cited_by_count":22,"area":"vla"},{"id":"2511.19433","title":"Mixture of Horizons in Action Chunking","created":"2025-11-24","cited_by_count":21,"area":"vla"},{"id":"2602.12062","title":"HoloBrain-0 Technical Report","created":"2026-02-12","cited_by_count":21,"area":"vla"},{"id":"2603.19199","title":"FASTER: Rethinking Real-Time Flow VLAs","created":"2026-03-19","cited_by_count":21,"area":"vla"},{"id":"2510.23571","title":"RobotArena $\\infty$: Scalable Robot Benchmarking via Real-to-Sim Translation","created":"2025-10-27","cited_by_count":18,"area":"vla"},{"id":"2602.10556","title":"LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer","created":"2026-02-11","cited_by_count":18,"area":"vla"},{"id":"2511.14148","title":"AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models","created":"2025-11-18","cited_by_count":17,"area":"vla"},{"id":"2605.14950","title":"Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model","created":"2026-05-14","cited_by_count":16,"area":"vla"},{"id":"2603.19233","title":"Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models","created":"2026-03-19","cited_by_count":15,"area":"vla"},{"id":"2607.01804","title":"VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon","created":"2026-07-02","cited_by_count":15,"area":"vla"},{"id":"2602.10503","title":"Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning","created":"2026-02-11","cited_by_count":13,"area":"vla"},{"id":"2605.30117","title":"VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing","created":"2026-05-28","cited_by_count":13,"area":"vla"},{"id":"2605.30877","title":"Wall-OSS-0.5 Technical Report","created":"2026-05-29","cited_by_count":12,"area":"vla"},{"id":"2603.25399","title":"LaMP: Learning Vision-Language-Action Policy with 3D Scene Flow as Latent Motion Prior","created":"2026-03-26","cited_by_count":11,"area":"vla"},{"id":"2604.13942","title":"Goal2Skill: Long-Horizon Manipulation with Adaptive Planning and Reflection","created":"2026-04-15","cited_by_count":11,"area":"vla"},{"id":"2512.05693","title":"HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies","created":"2025-12-05","cited_by_count":10,"area":"vla"},{"id":"2602.18224","title":"SimVLA: A Simple VLA Baseline for Robotic Manipulation","created":"2026-02-20","cited_by_count":10,"area":"vla"},{"id":"2603.15257","title":"HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing","created":"2026-03-16","cited_by_count":10,"area":"vla"},{"id":"2606.17200","title":"ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining","created":"2026-06-15","cited_by_count":10,"area":"vla"},{"id":"2606.23686","title":"LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models","created":"2026-06-22","cited_by_count":10,"area":"vla"},{"id":"2607.27205","title":"TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM","created":"2026-07-29","cited_by_count":10,"area":"vla"},{"id":"2603.09298","title":"CORAL: Scalable Multi-Task Robot Learning via LoRA Experts","created":"2026-03-10","cited_by_count":9,"area":"vla"},{"id":"2604.27472","title":"PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations","created":"2026-04-30","cited_by_count":9,"area":"vla"},{"id":"2605.31286","title":"DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable Manipulation","created":"2026-05-29","cited_by_count":9,"area":"vla"},{"id":"2606.00773","title":"SafeVLA-Bench: A Benchmark for the Success-Safety Gap in Vision-Language-Action Models","created":"2026-05-30","cited_by_count":9,"area":"vla"},{"id":"2604.05672","title":"A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model","created":"2026-04-07","cited_by_count":8,"area":"vla"},{"id":"2605.13403","title":"RotVLA: Rotational Latent Action for Vision-Language-Action Model","created":"2026-05-13","cited_by_count":8,"area":"vla"},{"id":"2605.21414","title":"PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction","created":"2026-05-20","cited_by_count":8,"area":"vla"},{"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":"2603.10158","title":"Cross-Hand Latent Representation for Vision-Language-Action Models","created":"2026-03-10","cited_by_count":7,"area":"vla"},{"id":"2603.13966","title":"vla-eval: A Unified Evaluation Harness for Vision-Language-Action Models","created":"2026-03-14","cited_by_count":7,"area":"vla"},{"id":"2605.14712","title":"IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation","created":"2026-05-14","cited_by_count":7,"area":"vla"},{"id":"2606.14752","title":"X-Tokenizer: A Multimodal Action Tokenizer for Vision-Language-Action Pretraining","created":"2026-06-07","cited_by_count":7,"area":"vla"},{"id":"2602.00919","title":"Green-VLA: Staged Vision-Language-Action Model for Generalist Robots","created":"2026-01-31","cited_by_count":6,"area":"vla"},{"id":"2603.28740","title":"FocusVLA: Focused Visual Utilization for Vision-Language-Action Models","created":"2026-03-30","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":"2605.26820","title":"Can Vision-Language-Action Models Learn from Real-World Data Continually without Forgetting?","created":"2026-05-26","cited_by_count":6,"area":"vla"},{"id":"2607.06678","title":"NativeMEM: Native Memory Compression for Long-Horizon Robotic Manipulation","created":"2026-07-07","cited_by_count":6,"area":"vla"},{"id":"2608.27550","title":"Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models","created":"2026-08-27","cited_by_count":6,"area":"vla"},{"id":"2602.20715","title":"IG-RFT: An Interaction-Guided RL Framework for VLA Models in Long-Horizon Robotic Manipulation","created":"2026-02-24","cited_by_count":5,"area":"vla"},{"id":"2606.15631","title":"Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time","created":"2026-06-14","cited_by_count":5,"area":"vla"},{"id":"2606.22836","title":"Cloak: Zero-Shot Cross-Embodiment Manipulation by Masking the End-Effector from the VLA","created":"2026-06-22","cited_by_count":5,"area":"vla"},{"id":"2606.31723","title":"UniTacVLA: Unified Tactile Understanding and Prediction in Vision Language Action Models","created":"2026-06-30","cited_by_count":5,"area":"vla"},{"id":"2607.05377","title":"Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation","created":"2026-07-06","cited_by_count":5,"area":"vla"},{"id":"2608.03727","title":"Track4Action: Distilling World-Centric 3D Tracker into Vision-Language-Action Policies","created":"2026-08-04","cited_by_count":5,"area":"vla"},{"id":"2604.24622","title":"CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies","created":"2026-04-27","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":"2605.22283","title":"Spatial Memory for Out-of-Vision Manipulation in Vision-Language-Action","created":"2026-05-21","cited_by_count":4,"area":"vla"},{"id":"2606.18043","title":"Uncertainty Quantification for Flow-Based Vision-Language-Action Models","created":"2026-06-16","cited_by_count":4,"area":"vla"},{"id":"2603.24060","title":"RoboHarness: A Memory-Augmented Policy Harness for Vision-Language-Action Model Robustness via In-Context Adaptation","created":"2026-03-25","cited_by_count":3,"area":"vla"},{"id":"2604.21192","title":"How VLAs (Really) Work In Open-World Environments","created":"2026-04-23","cited_by_count":3,"area":"vla"},{"id":"2604.23272","title":"Modular Sensory Stream for Integrating Physical Feedback in Vision-Language-Action Models","created":"2026-04-25","cited_by_count":3,"area":"vla"},{"id":"2605.10819","title":"ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models","created":"2026-05-11","cited_by_count":3,"area":"vla"},{"id":"2605.11832","title":"Learning Action Manifold with Multi-view Latent Priors for Robotic Manipulation","created":"2026-05-12","cited_by_count":3,"area":"vla"},{"id":"2605.13632","title":"Guide, Think, Act: Interactive Embodied Reasoning in Vision-Language-Action Models","created":"2026-05-13","cited_by_count":3,"area":"vla"},{"id":"2606.06491","title":"TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies","created":"2026-06-04","cited_by_count":3,"area":"vla"},{"id":"2606.13578","title":"LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories","created":"2026-06-11","cited_by_count":3,"area":"vla"},{"id":"2606.21386","title":"VLA-FAIL: Efficient Task Failure Detection for Finetuned Vision-Language-Action Models","created":"2026-06-19","cited_by_count":3,"area":"vla"},{"id":"2607.14739","title":"FoMoVLA: Bridging Visual Foresight and Motion Guidance for Vision-Language-Action Models","created":"2026-07-16","cited_by_count":3,"area":"vla"},{"id":"2608.14822","title":"Imagining Recovery: Inference-Time Counterfactual Realignment for Vision-Language-Action Models","created":"2026-08-14","cited_by_count":3,"area":"vla"},{"id":"2609.00908","title":"Knowing When to Stop: Adaptive Action Chunking via Internal Cross-Attention Dynamics in VLAs","created":"2026-09-01","cited_by_count":3,"area":"vla"},{"id":"2609.05533","title":"SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models","created":"2026-09-02","cited_by_count":3,"area":"vla"},{"id":"2603.15046","title":"AnoleVLA: Lightweight Vision-Language-Action Model with Deep State Space Models for Mobile Manipulation","created":"2026-03-16","cited_by_count":2,"area":"vla"},{"id":"2603.24935","title":"SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models","created":"2026-03-26","cited_by_count":2,"area":"vla"},{"id":"2604.18000","title":"Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models","created":"2026-04-20","cited_by_count":2,"area":"vla"},{"id":"2605.06175","title":"VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts","created":"2026-05-07","cited_by_count":2,"area":"vla"},{"id":"2605.15298","title":"PhysBrain 1.0 Technical Report","created":"2026-05-14","cited_by_count":2,"area":"vla"},{"id":"2605.20774","title":"VLA-REPLICA: A Low-Cost, Reproducible Benchmark for Real-World Evaluation of Vision-Language-Action Models","created":"2026-05-20","cited_by_count":2,"area":"vla"},{"id":"2605.21862","title":"EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control","created":"2026-05-21","cited_by_count":2,"area":"vla"},{"id":"2605.29562","title":"VLA-Pro: Cross-Task Procedural Memory Transfer for Vision-Language-Action Models","created":"2026-05-28","cited_by_count":2,"area":"vla"},{"id":"2606.06904","title":"ActionMap: Robot Policy Learning via Voxel Action Heatmap","created":"2026-06-05","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":"2606.10305","title":"SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation","created":"2026-06-09","cited_by_count":2,"area":"vla"},{"id":"2607.06655","title":"Pelican-VLA 0.5: Attending Before Acting Benefits Generalization","created":"2026-07-07","cited_by_count":2,"area":"vla"},{"id":"2608.02326","title":"ChainVLA: Chaining Vision-Language-Action Queries through a Unified Execution State for Long-Horizon Manipulation","created":"2026-08-03","cited_by_count":2,"area":"vla"},{"id":"2608.04396","title":"CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention","created":"2026-08-05","cited_by_count":2,"area":"vla"},{"id":"2602.05233","title":"MobileManiBench: Simplifying Model Verification for Mobile Manipulation","created":"2026-02-05","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":"2605.11564","title":"RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning","created":"2026-05-12","cited_by_count":1,"area":"vla"},{"id":"2605.19294","title":"DEFLECT: Temporal Counterfactual Preference Learning for Delay-Robust Asynchronous VLAs","created":"2026-05-19","cited_by_count":1,"area":"vla"},{"id":"2605.25044","title":"X-DiffVLA: X-Embodied Diffusion Action Heads for Vision-Language-Action Models","created":"2026-05-24","cited_by_count":1,"area":"vla"},{"id":"2606.02735","title":"See Less, Specify More: Visual Evidence Budgets for Generalizable VLAs","created":"2026-06-01","cited_by_count":1,"area":"vla"},{"id":"2606.17937","title":"ThinkingVLA: Interleaved Vision and Language Reasoning for Robotic Manipulation","created":"2026-06-16","cited_by_count":1,"area":"vla"},{"id":"2606.25215","title":"Reflective VLA: In-Context Action Consequences Make VLAs Generalize","created":"2026-06-23","cited_by_count":1,"area":"vla"},{"id":"2607.12287","title":"Reducing Temporal Redundancy for Efficient Vision-Language-Action Inference","created":"2026-07-14","cited_by_count":1,"area":"vla"},{"id":"2608.05369","title":"World-to-Wrist: Task-Conditioned Future Wrist Modeling for Fine-Grained Robot Manipulation","created":"2026-08-05","cited_by_count":1,"area":"vla"},{"id":"2608.06374","title":"DyPES-VLA: Learning Shared Dynamics Priors and Embodiment-Specific Control for Cross-Embodiment Manipulation","created":"2026-08-06","cited_by_count":1,"area":"vla"}],"next_cursor":"100"}