{"total":20,"rows":[{"id":"2507.15493","title":"GR-3 Technical Report","created":"2025-07-21","cited_by_count":111,"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":"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":"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":"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":"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":"2604.02190","title":"UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving","created":"2026-04-02","cited_by_count":19,"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":"2605.30877","title":"Wall-OSS-0.5 Technical Report","created":"2026-05-29","cited_by_count":12,"area":"vla"},{"id":"2510.18337","title":"MoTVLA: A Vision-Language-Action Model with Unified Fast-Slow Reasoning","created":"2025-10-21","cited_by_count":9,"area":"vla"},{"id":"2605.12624","title":"MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving","created":"2026-05-12","cited_by_count":6,"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":"2606.12396","title":"VLGA: Vision-Language-Geometry-Action Models for Autonomous Driving","created":"2026-06-10","cited_by_count":3,"area":"vla"},{"id":"2510.10642","title":"UniJEPA: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning","created":"2025-10-12","cited_by_count":2,"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":"2608.22419","title":"Robust Bimanual Vision-Language-Action Models via Embarrassingly Simple Modality Masking","created":"2026-08-23","cited_by_count":1,"area":"vla"},{"id":"2604.17706","title":"OmniVLA-RL: A Vision-Language-Action Model with Spatial Understanding and Online RL","created":"2026-04-20","cited_by_count":0,"area":"vla"},{"id":"2609.16503","title":"Dense to MoE Adaptation for Compact Vision Language Action Policies","created":"2026-09-15","cited_by_count":0,"area":"vla"},{"id":"2610.17540","title":"TacitVLA: Reasoning Vision-Language-Action Models Without Reasoning Latency","created":"2026-10-13","cited_by_count":0,"area":"vla"}],"next_cursor":null}