{"total":39,"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":"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":"2412.04453","title":"NaVILA: Legged Robot Vision-Language-Action Model for Navigation","created":"2024-12-05","cited_by_count":211,"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":"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":"2603.03596","title":"MEM: Multi-Scale Embodied Memory for Vision Language Action Models","created":"2026-03-04","cited_by_count":61,"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":"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":"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":"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":"2509.19480","title":"OmniVLA: An Omni-Modal Vision-Language-Action Model for Robot Navigation","created":"2025-09-23","cited_by_count":38,"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":"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":"2503.05833","title":"Refined Policy Distillation: From VLA Generalists to RL Experts","created":"2025-03-06","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":"2511.05275","title":"TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models","created":"2025-11-07","cited_by_count":13,"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":"2604.07993","title":"HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation","created":"2026-04-09","cited_by_count":10,"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":"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":"2606.12352","title":"CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy","created":"2026-06-10","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":"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":"2605.18287","title":"StableVLA: Towards Robust Vision-Language-Action Models without Extra Data","created":"2026-05-18","cited_by_count":4,"area":"vla"},{"id":"2602.13764","title":"MOTIF: Learning Action Motifs for Few-shot Cross-Embodiment Transfer","created":"2026-02-14","cited_by_count":3,"area":"vla"},{"id":"2607.15714","title":"AC-VLA: Robust Out-of-Distribution Action Execution via Compositional Learning","created":"2026-07-17","cited_by_count":3,"area":"vla"},{"id":"2608.23831","title":"Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency","created":"2026-08-24","cited_by_count":2,"area":"vla"},{"id":"2503.19516","title":"Boosting Robotic Manipulation Generalization with Minimal Costly Data","created":"2025-03-25","cited_by_count":1,"area":"vla"},{"id":"2605.07474","title":"ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations","created":"2026-05-08","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":"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"},{"id":"2608.18433","title":"The Embodiment Gap in Robot Foundation Models","created":"2026-08-19","cited_by_count":1,"area":"vla"},{"id":"2609.02546","title":"ZETA: A Controlled Study of Zero-Shot Cross-Embodiment VLA Transfer for Tabletop Manipulation","created":"2026-09-02","cited_by_count":0,"area":"vla"},{"id":"2609.28984","title":"CrossSafe: Towards Cross-Embodiment Latent Safety Filters","created":"2026-09-24","cited_by_count":0,"area":"vla"},{"id":"2609.36416","title":"FineART: Fine-Grained Annotated Robotic Trajectory Dataset and Vision-Language-Action Model for Bimanual Manipulation","created":"2026-09-29","cited_by_count":0,"area":"vla"}],"next_cursor":null}