{"total":689,"rows":[{"id":"2406.09246","title":"OpenVLA: An Open-Source Vision-Language-Action Model","created":"2024-06-13","cited_by_count":2887,"area":"vla"},{"id":"2501.15830","title":"SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model","created":"2025-01-27","cited_by_count":519,"area":"vla"},{"id":"2505.06111","title":"UniVLA: Learning to Act Anywhere with Task-centric Latent Actions","created":"2025-05-09","cited_by_count":410,"area":"vla"},{"id":"2510.10274","title":"X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model","created":"2025-10-11","cited_by_count":303,"area":"vla"},{"id":"2510.13626","title":"LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models","created":"2025-10-15","cited_by_count":303,"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":"2507.04447","title":"DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge","created":"2025-07-06","cited_by_count":213,"area":"vla"},{"id":"2508.19236","title":"MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation","created":"2025-08-26","cited_by_count":192,"area":"vla"},{"id":"2510.03827","title":"LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization","created":"2025-10-04","cited_by_count":179,"area":"vla"},{"id":"2505.18719","title":"VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning","created":"2025-05-24","cited_by_count":176,"area":"vla"},{"id":"2509.09674","title":"SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning","created":"2025-09-11","cited_by_count":151,"area":"vla"},{"id":"2512.15692","title":"mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs","created":"2025-12-17","cited_by_count":142,"area":"vla"},{"id":"2505.17016","title":"Interactive Post-Training for Vision-Language-Action Models","created":"2025-05-22","cited_by_count":135,"area":"vla"},{"id":"2506.19850","title":"Unified Vision-Language-Action Model","created":"2025-06-24","cited_by_count":134,"area":"vla"},{"id":"2510.12276","title":"Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model","created":"2025-10-14","cited_by_count":134,"area":"vla"},{"id":"2507.12440","title":"EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos","created":"2025-07-16","cited_by_count":128,"area":"vla"},{"id":"2505.03233","title":"GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data","created":"2025-05-06","cited_by_count":123,"area":"vla"},{"id":"2411.19309","title":"GRAPE: Generalizing Robot Policy via Preference Alignment","created":"2024-11-28","cited_by_count":109,"area":"vla"},{"id":"2601.18692","title":"A Pragmatic VLA Foundation Model","created":"2026-01-26","cited_by_count":103,"area":"vla"},{"id":"2506.10100","title":"EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models","created":"2025-06-11","cited_by_count":93,"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":"2503.02310","title":"PD-VLA: Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding","created":"2025-03-04","cited_by_count":88,"area":"vla"},{"id":"2509.06951","title":"F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions","created":"2025-09-08","cited_by_count":86,"area":"vla"},{"id":"2508.10333","title":"ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver","created":"2025-08-14","cited_by_count":81,"area":"vla"},{"id":"2506.09937","title":"SAFE: Multitask Failure Detection for Vision-Language-Action Models","created":"2025-06-11","cited_by_count":80,"area":"vla"},{"id":"2511.00091","title":"Self-Improving Vision-Language-Action Models with Data Generation via Residual RL","created":"2025-10-30","cited_by_count":78,"area":"vla"},{"id":"2603.10448","title":"DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control","created":"2026-03-11","cited_by_count":76,"area":"vla"},{"id":"2503.19757","title":"Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy","created":"2025-03-25","cited_by_count":74,"area":"vla"},{"id":"2411.13587","title":"Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics","created":"2024-11-18","cited_by_count":73,"area":"vla"},{"id":"2507.01016","title":"VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers","created":"2025-07-01","cited_by_count":70,"area":"vla"},{"id":"2508.09071","title":"GeoVLA: Empowering 3D Representations in Vision-Language-Action Models","created":"2025-08-12","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":"2506.17811","title":"RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models","created":"2025-06-21","cited_by_count":61,"area":"vla"},{"id":"2506.12723","title":"SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration","created":"2025-06-15","cited_by_count":58,"area":"vla"},{"id":"2512.01031","title":"VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference","created":"2025-11-30","cited_by_count":58,"area":"vla"},{"id":"2509.04996","title":"FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies","created":"2025-09-05","cited_by_count":57,"area":"vla"},{"id":"2506.22242","title":"4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration","created":"2025-06-27","cited_by_count":56,"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":"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":"2506.08440","title":"TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy Optimization","created":"2025-06-10","cited_by_count":49,"area":"vla"},{"id":"2510.13054","title":"VLA-0: Building State-of-the-Art VLAs with Zero Modification","created":"2025-10-15","cited_by_count":49,"area":"vla"},{"id":"2510.00695","title":"HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy","created":"2025-10-01","cited_by_count":46,"area":"vla"},{"id":"2602.12684","title":"Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution","created":"2026-02-13","cited_by_count":45,"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":"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":"2506.07530","title":"BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation","created":"2025-06-09","cited_by_count":43,"area":"vla"},{"id":"2509.05614","title":"SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning","created":"2025-09-06","cited_by_count":43,"area":"vla"},{"id":"2410.15959","title":"Diffusion Transformer Policy","created":"2024-10-21","cited_by_count":41,"area":"vla"},{"id":"2511.04555","title":"Evo-1: Lightweight Vision-Language-Action Model with Preserved Semantic Alignment","created":"2025-11-06","cited_by_count":41,"area":"vla"},{"id":"2511.01718","title":"Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process","created":"2025-11-03","cited_by_count":39,"area":"vla"},{"id":"2505.16640","title":"BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization","created":"2025-05-22","cited_by_count":38,"area":"vla"},{"id":"2506.13725","title":"CEED-VLA: Consistency Vision-Language-Action Model with Early-Exit Decoding","created":"2025-06-16","cited_by_count":38,"area":"vla"},{"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":"2506.17561","title":"VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models","created":"2025-06-21","cited_by_count":36,"area":"vla"},{"id":"2509.12594","title":"The Better You Learn, The Smarter You Prune: Towards Efficient Vision-language-action Models via Differentiable Token Pruning","created":"2025-09-16","cited_by_count":36,"area":"vla"},{"id":"2510.04246","title":"ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context","created":"2025-10-05","cited_by_count":35,"area":"vla"},{"id":"2509.22093","title":"Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation","created":"2025-09-26","cited_by_count":34,"area":"vla"},{"id":"2510.24795","title":"A Survey on Efficient Vision-Language-Action Models","created":"2025-10-27","cited_by_count":34,"area":"vla"},{"id":"2512.11891","title":"VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer","created":"2025-12-09","cited_by_count":34,"area":"vla"},{"id":"2601.22153","title":"DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation","created":"2026-01-29","cited_by_count":34,"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":"2512.09928","title":"HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action Models","created":"2025-12-10","cited_by_count":32,"area":"vla"},{"id":"2412.20451","title":"CoA-VLA: Improving Vision-Language-Action Models via Visual-Textual Chain-of-Affordance","created":"2024-12-29","cited_by_count":31,"area":"vla"},{"id":"2508.06426","title":"Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation","created":"2025-08-08","cited_by_count":31,"area":"vla"},{"id":"2509.00328","title":"Mechanistic interpretability for steering vision-language-action models","created":"2025-08-30","cited_by_count":31,"area":"vla"},{"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":"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":"2505.23450","title":"Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents","created":"2025-05-29","cited_by_count":30,"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":"2510.06710","title":"RLinf-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action Models","created":"2025-10-08","cited_by_count":28,"area":"vla"},{"id":"2511.09516","title":"MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation","created":"2025-11-12","cited_by_count":28,"area":"vla"},{"id":"2602.03782","title":"QVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization","created":"2026-02-03","cited_by_count":28,"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":"2511.15605","title":"SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models","created":"2025-11-19","cited_by_count":27,"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":"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":"2510.00037","title":"RobustVLA: On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations","created":"2025-09-26","cited_by_count":25,"area":"vla"},{"id":"2511.18960","title":"AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention","created":"2025-11-24","cited_by_count":25,"area":"vla"},{"id":"2509.18953","title":"Eva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical Variations","created":"2025-09-23","cited_by_count":24,"area":"vla"},{"id":"2601.09708","title":"Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning","created":"2026-01-14","cited_by_count":24,"area":"vla"},{"id":"2506.17639","title":"RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models","created":"2025-06-21","cited_by_count":23,"area":"vla"},{"id":"2510.05681","title":"Verifier-free Test-Time Sampling for Vision-Language-Action Models","created":"2025-10-07","cited_by_count":23,"area":"vla"},{"id":"2503.14526","title":"ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis","created":"2025-03-15","cited_by_count":22,"area":"vla"},{"id":"2507.05116","title":"VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting","created":"2025-07-07","cited_by_count":22,"area":"vla"},{"id":"2510.13237","title":"Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models","created":"2025-10-15","cited_by_count":22,"area":"vla"},{"id":"2512.04952","title":"FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization","created":"2025-12-04","cited_by_count":22,"area":"vla"},{"id":"2512.08333","title":"Robust Finetuning of Vision-Language-Action Robot Policies via Parameter Merging","created":"2025-12-09","cited_by_count":22,"area":"vla"},{"id":"2512.14666","title":"EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models","created":"2025-12-16","cited_by_count":22,"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":"2509.04018","title":"FPC-VLA: A Vision-Language-Action Framework with a Supervisor for Failure Prediction and Correction","created":"2025-09-04","cited_by_count":21,"area":"vla"},{"id":"2509.19870","title":"FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models","created":"2025-09-24","cited_by_count":21,"area":"vla"},{"id":"2510.14836","title":"QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision-Language-Action Models","created":"2025-10-16","cited_by_count":21,"area":"vla"},{"id":"2511.10518","title":"SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation","created":"2025-11-13","cited_by_count":21,"area":"vla"},{"id":"2511.19433","title":"Mixture of Horizons in Action Chunking","created":"2025-11-24","cited_by_count":21,"area":"vla"},{"id":"2601.07060","title":"PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation","created":"2026-01-11","cited_by_count":21,"area":"vla"}],"next_cursor":"100"}