{"total":534,"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":"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":"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":"2505.11917","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":"2507.15597","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":"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":"2603.22435","title":"CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation","created":"2026-03-23","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":"2510.13778","title":"InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy","created":"2025-10-15","cited_by_count":84,"area":"vla"},{"id":"2505.03912","title":"OpenHelix: A Short Survey, Empirical Analysis, and Open-Source Dual-System VLA Model for Robotic Manipulation","created":"2025-05-06","cited_by_count":82,"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":"2509.15937","title":"A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning","created":"2025-09-19","cited_by_count":71,"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":"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":"2512.05964","title":"Training-Time Action Conditioning for Efficient Real-Time Chunking","created":"2025-12-05","cited_by_count":64,"area":"vla"},{"id":"2603.03596","title":"MEM: Multi-Scale Embodied Memory for Vision Language Action Models","created":"2026-03-04","cited_by_count":61,"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":"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":"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":"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":"2512.01801","title":"GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation","created":"2025-12-01","cited_by_count":45,"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":"2506.07530","title":"BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation","created":"2025-06-09","cited_by_count":43,"area":"vla"},{"id":"2506.13751","title":"LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction","created":"2025-06-16","cited_by_count":43,"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":"2505.12224","title":"RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction","created":"2025-05-18","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":"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":"2507.17294","title":"VLA-Touch: Enhancing Vision-Language-Action Models with Dual-Level Tactile Feedback","created":"2025-07-23","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":"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":"2601.22153","title":"DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation","created":"2026-01-29","cited_by_count":34,"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":"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":"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":"2604.11757","title":"StarVLA-$\\alpha$: Reducing Complexity in Vision-Language-Action Systems","created":"2026-04-13","cited_by_count":31,"area":"vla"},{"id":"2602.03310","title":"RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization","created":"2026-02-03","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":"2603.12942","title":"ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries","created":"2026-03-13","cited_by_count":29,"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":"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":"2607.06403","title":"From Foundation to Application: Improving VLA Models in Practice","created":"2026-07-07","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":"2509.22199","title":"MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training","created":"2025-09-26","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":"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":"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":"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":"2602.06556","title":"LIBERO-X: Robustness Litmus for Vision-Language-Action Models","created":"2026-02-06","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":"2509.04018","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":"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":"2601.03044","title":"SOP: A Scalable Online Post-Training System for Vision-Language-Action Models","created":"2026-01-06","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"},{"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":"2603.19199","title":"FASTER: Rethinking Real-Time Flow VLAs","created":"2026-03-19","cited_by_count":21,"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":"2603.15620","title":"Towards Generalizable Robotic Manipulation in Dynamic Environments","created":"2026-03-16","cited_by_count":20,"area":"vla"},{"id":"2512.24673","title":"VLA-RAIL: A Real-Time Asynchronous Inference Linker for VLA Models and Robots","created":"2025-12-31","cited_by_count":19,"area":"vla"},{"id":"2602.12978","title":"Learning Native Continuation for Action Chunking Flow Policies","created":"2026-02-13","cited_by_count":19,"area":"vla"},{"id":"2602.18397","title":"How Fast Can I Run My VLA? Demystifying VLA Inference Performance with VLA-Perf","created":"2026-02-20","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":"2512.23864","title":"Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation","created":"2025-12-29","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":"2608.11739","title":"G0.5: One Autoregressive Stream for Robot Reasoning and Action","created":"2026-08-12","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":"2511.14148","title":"AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models","created":"2025-11-18","cited_by_count":17,"area":"vla"},{"id":"2603.03818","title":"Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning","created":"2026-03-04","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":"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":"2603.10712","title":"FutureVLA: Joint Visuomotor Prediction for Vision-Language-Action Model","created":"2026-03-11","cited_by_count":16,"area":"vla"}],"next_cursor":"100"}