{"total":23,"rows":[{"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":"2412.14803","title":"Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations","created":"2024-12-19","cited_by_count":289,"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":"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":"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":"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":"2602.21736","title":"Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild","created":"2026-02-25","cited_by_count":15,"area":"vla"},{"id":"2604.11689","title":"LARY: A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment","created":"2026-04-13","cited_by_count":12,"area":"vla"},{"id":"2603.27670","title":"ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation","created":"2026-03-29","cited_by_count":10,"area":"vla"},{"id":"2605.13403","title":"RotVLA: Rotational Latent Action for Vision-Language-Action Model","created":"2026-05-13","cited_by_count":8,"area":"vla"},{"id":"2511.06619","title":"How Do VLAs Effectively Inherit from VLMs?","created":"2025-11-10","cited_by_count":6,"area":"vla"},{"id":"2512.07582","title":"See Once, Then Act: Vision-Language-Action Model with Task Learning from One-Shot Video Demonstrations","created":"2025-12-08","cited_by_count":6,"area":"vla"},{"id":"2602.20231","title":"UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models","created":"2026-02-23","cited_by_count":5,"area":"vla"},{"id":"2605.31234","title":"HARP-VLA: Human-Robot Aligned Representation Learning for Vision-Language-Action Model","created":"2026-05-29","cited_by_count":5,"area":"vla"},{"id":"2605.04678","title":"From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models","created":"2026-05-06","cited_by_count":4,"area":"vla"},{"id":"2605.10819","title":"ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models","created":"2026-05-11","cited_by_count":3,"area":"vla"},{"id":"2606.00054","title":"From Human Videos to Robot Manipulation: A Survey on Scalable Vision-Language-Action Learning with Human-Centric Data","created":"2026-05-18","cited_by_count":3,"area":"vla"},{"id":"2509.11839","title":"TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric Learning","created":"2025-09-15","cited_by_count":2,"area":"vla"},{"id":"2509.26251","title":"Seeing Space and Motion: Enhancing Latent Actions with Geometric and Dynamic Awareness for Vision-Language-Action Models","created":"2025-09-30","cited_by_count":2,"area":"vla"},{"id":"2605.06175","title":"VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts","created":"2026-05-07","cited_by_count":2,"area":"vla"},{"id":"2606.18955","title":"Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos","created":"2026-06-17","cited_by_count":0,"area":"vla"},{"id":"2610.01741","title":"ATI-VLA: Action-Centric Predictive Vision-Language-Action Models via Actionable Alignment Then Adaptive Injection","created":"2026-10-01","cited_by_count":0,"area":"vla"},{"id":"2610.13732","title":"LAPT-Scale: Scaling Embodied Policies with Latent Action Pre-Training on Human Videos","created":"2026-10-09","cited_by_count":0,"area":"vla"}],"next_cursor":null}