{"total":184,"rows":[{"id":"2410.24164","title":"$\\pi_0$: A Vision-Language-Action Flow Model for General Robot Control","created":"2024-10-31","cited_by_count":2407,"area":"vla"},{"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":"2501.09747","title":"FAST: Efficient Action Tokenization for Vision-Language-Action Models","created":"2025-01-16","cited_by_count":665,"area":"vla"},{"id":"2409.12514","title":"TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation","created":"2024-09-19","cited_by_count":339,"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":"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":"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":"2507.15493","title":"GR-3 Technical Report","created":"2025-07-21","cited_by_count":111,"area":"vla"},{"id":"2505.19789","title":"What Can RL Bring to VLA Generalization? An Empirical Study","created":"2025-05-26","cited_by_count":108,"area":"vla"},{"id":"2505.11917","title":"OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning","created":"2025-05-17","cited_by_count":107,"area":"vla"},{"id":"2601.18692","title":"A Pragmatic VLA Foundation Model","created":"2026-01-26","cited_by_count":103,"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":"2509.00576","title":"Galaxea Open-World Dataset and G0 Dual-System VLA Model","created":"2025-08-30","cited_by_count":92,"area":"vla"},{"id":"2505.22159","title":"ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation","created":"2025-05-28","cited_by_count":91,"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":"2505.16278","title":"DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving","created":"2025-05-22","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":"2503.19757","title":"Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy","created":"2025-03-25","cited_by_count":74,"area":"vla"},{"id":"2507.00416","title":"Evo-0: Vision-Language-Action Model with Implicit Spatial Understanding","created":"2025-07-01","cited_by_count":58,"area":"vla"},{"id":"2505.02152","title":"Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions","created":"2025-05-04","cited_by_count":51,"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":"2510.00695","title":"HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy","created":"2025-10-01","cited_by_count":46,"area":"vla"},{"id":"2501.04693","title":"Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding","created":"2025-01-08","cited_by_count":42,"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":"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":"2510.04246","title":"ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context","created":"2025-10-05","cited_by_count":35,"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":"2512.16760","title":"Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future","created":"2025-12-18","cited_by_count":33,"area":"vla"},{"id":"2509.07962","title":"TA-VLA: Elucidating the Design Space of Torque-aware Vision-Language-Action Models","created":"2025-09-09","cited_by_count":32,"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":"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":"2508.13446","title":"CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models","created":"2025-08-19","cited_by_count":29,"area":"vla"},{"id":"2605.03269","title":"RLDX-1 Technical Report","created":"2026-05-05","cited_by_count":28,"area":"vla"},{"id":"2506.00411","title":"LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks","created":"2025-05-31","cited_by_count":26,"area":"vla"},{"id":"2509.15212","title":"RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation","created":"2025-09-18","cited_by_count":25,"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":"2507.05116","title":"VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting","created":"2025-07-07","cited_by_count":22,"area":"vla"},{"id":"2508.02062","title":"RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models","created":"2025-08-04","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":"2602.01067","title":"A Systematic Study of Data Modalities and Strategies for Co-training Large Behavior Models for Robot Manipulation","created":"2026-02-01","cited_by_count":22,"area":"vla"},{"id":"2606.14409","title":"Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack","created":"2026-06-12","cited_by_count":22,"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":"2511.19433","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":"2602.12281","title":"Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment","created":"2026-02-12","cited_by_count":21,"area":"vla"},{"id":"2505.19767","title":"RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal Feedback","created":"2025-05-26","cited_by_count":20,"area":"vla"},{"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":"2508.07650","title":"GraphCoT-VLA: A 3D Spatial-Aware Reasoning Vision-Language-Action Model for Robotic Manipulation with Ambiguous Instructions","created":"2025-08-11","cited_by_count":19,"area":"vla"},{"id":"2512.21970","title":"StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision","created":"2025-12-26","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":"2507.17049","title":"Evaluating Uncertainty and Quality of Vision-Language-Action-enabled Robots","created":"2025-07-22","cited_by_count":17,"area":"vla"},{"id":"2510.09269","title":"Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects","created":"2025-10-10","cited_by_count":17,"area":"vla"},{"id":"2512.16811","title":"GeoPredict: Leveraging Predictive Kinematics and 3D Gaussian Geometry for Precise VLA Manipulation","created":"2025-12-18","cited_by_count":17,"area":"vla"},{"id":"2602.02142","title":"FD-VLA: Force-Distilled Vision-Language-Action Model for Contact-Rich Manipulation","created":"2026-02-02","cited_by_count":17,"area":"vla"},{"id":"2503.01238","title":"A Taxonomy for Evaluating Generalist Robot Manipulation Policies","created":"2025-03-03","cited_by_count":16,"area":"vla"},{"id":"2510.25889","title":"$\\pi_\\texttt{RL}$: Online RL Fine-tuning for Flow-based Vision-Language-Action Models","created":"2025-10-29","cited_by_count":16,"area":"vla"},{"id":"2603.19183","title":"Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Models","created":"2026-03-19","cited_by_count":16,"area":"vla"},{"id":"2512.06951","title":"Task adaptation of Vision-Language-Action model: 1st Place Solution for the 2025 BEHAVIOR Challenge","created":"2025-12-07","cited_by_count":15,"area":"vla"},{"id":"2512.19562","title":"REALM: A Real-to-Sim Validated Benchmark for Generalization in Robotic Manipulation","created":"2025-12-22","cited_by_count":15,"area":"vla"},{"id":"2602.23648","title":"FAVLA: A Force-Adaptive Fast-Slow VLA model for Contact-Rich Robotic Manipulation","created":"2026-02-27","cited_by_count":15,"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":"2511.21192","title":"When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models","created":"2025-11-26","cited_by_count":13,"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":"2510.23511","title":"Dexbotic: Open-Source Vision-Language-Action Toolbox","created":"2025-10-27","cited_by_count":12,"area":"vla"},{"id":"2603.06001","title":"Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration","created":"2026-03-06","cited_by_count":12,"area":"vla"},{"id":"2605.30877","title":"Wall-OSS-0.5 Technical Report","created":"2026-05-29","cited_by_count":12,"area":"vla"},{"id":"2509.21986","title":"Developing Vision-Language-Action Model from Egocentric Videos","created":"2025-09-26","cited_by_count":11,"area":"vla"},{"id":"2602.17951","title":"ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models","created":"2026-02-20","cited_by_count":11,"area":"vla"},{"id":"2606.10267","title":"What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents","created":"2026-06-09","cited_by_count":11,"area":"vla"},{"id":"2511.23034","title":"LatBot: Distilling Universal Latent Actions for Vision-Language-Action Models","created":"2025-11-28","cited_by_count":10,"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":"2602.12628","title":"Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models","created":"2026-02-13","cited_by_count":9,"area":"vla"},{"id":"2605.07308","title":"AT-VLA: Adaptive Tactile Injection for Enhanced Feedback Reaction in Vision-Language-Action Models","created":"2026-05-08","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":"2507.02190","title":"cVLA: Towards Efficient Camera-Space VLAs","created":"2025-07-02","cited_by_count":8,"area":"vla"},{"id":"2601.20262","title":"Shallow-{\\pi}: Knowledge Distillation for Flow-based VLAs","created":"2026-01-28","cited_by_count":8,"area":"vla"},{"id":"2602.21445","title":"VLA Knows Its Limits: Adaptive Execution Horizons for Robot Policies","created":"2026-02-24","cited_by_count":8,"area":"vla"},{"id":"2508.15201","title":"Survey of Vision-Language-Action Models for Embodied Manipulation","created":"2025-08-21","cited_by_count":7,"area":"vla"},{"id":"2512.18007","title":"Robotic VLA Benefits from Joint Learning with Motion Image Diffusion","created":"2025-12-19","cited_by_count":7,"area":"vla"},{"id":"2602.19710","title":"PoseVLA: Universal Pose Pretraining for Generalizable Vision-Language-Action Policies","created":"2026-02-23","cited_by_count":7,"area":"vla"},{"id":"2603.09292","title":"See, Plan, Rewind: Progress-Aware Vision-Language-Action Models for Robust Robotic Manipulation","created":"2026-03-10","cited_by_count":7,"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":"2505.05540","title":"Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended Action Environments","created":"2025-05-08","cited_by_count":6,"area":"vla"},{"id":"2511.06619","title":"How Do VLAs Effectively Inherit from VLMs?","created":"2025-11-10","cited_by_count":6,"area":"vla"},{"id":"2512.20014","title":"Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting","created":"2025-12-23","cited_by_count":6,"area":"vla"},{"id":"2603.02083","title":"$\\pi$-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs","created":"2026-03-02","cited_by_count":6,"area":"vla"},{"id":"2603.07404","title":"Adaptive Capacity Allocation for Vision Language Action Fine-tuning","created":"2026-03-08","cited_by_count":6,"area":"vla"},{"id":"2603.10126","title":"AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models","created":"2026-03-10","cited_by_count":6,"area":"vla"},{"id":"2604.23121","title":"Breaking Lock-In: Preserving Steerability under Low-Data VLA Post-Training","created":"2026-04-25","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":"2503.04163","title":"VLA Model-Expert Collaboration for Bi-directional Manipulation Learning","created":"2025-03-06","cited_by_count":5,"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":"2602.03983","title":"Efficient Long-Horizon Vision-Language-Action Models via Static-Dynamic Disentanglement","created":"2026-02-03","cited_by_count":5,"area":"vla"}],"next_cursor":"100"}