{"total":17,"rows":[{"id":"2406.04339","title":"RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation","created":"2024-06-06","cited_by_count":103,"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":"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":"2505.05800","title":"3D CAVLA: Leveraging Depth and 3D Context to Generalize Vision Language Action Models for Unseen Tasks","created":"2025-05-09","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":"2503.08007","title":"MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models","created":"2025-03-11","cited_by_count":27,"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":"2605.30877","title":"Wall-OSS-0.5 Technical Report","created":"2026-05-29","cited_by_count":12,"area":"vla"},{"id":"2508.09032","title":"Spatial Traces: Enhancing VLA Models with Spatial-Temporal Understanding","created":"2025-08-12","cited_by_count":11,"area":"vla"},{"id":"2604.21924","title":"Long-Horizon Manipulation via Trace-Conditioned VLA Planning","created":"2026-04-23","cited_by_count":9,"area":"vla"},{"id":"2604.18000","title":"Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models","created":"2026-04-20","cited_by_count":2,"area":"vla"},{"id":"2604.18484","title":"XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments","created":"2026-04-20","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":"2608.30289","title":"CometVLA: Co-Training on an Embodied Data Pyramid towards Physical Understanding","created":"2026-08-31","cited_by_count":1,"area":"vla"},{"id":"2512.11315","title":"Benchmarking the Generality of Vision-Language-Action Models","created":"2025-12-12","cited_by_count":0,"area":"vla"},{"id":"2607.09776","title":"HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation","created":"2026-07-08","cited_by_count":0,"area":"vla"},{"id":"2608.26058","title":"One Policy, Many Embodiments: Unified Camera-Centric Action Geometry Pre-training for Heterogeneous Embodied Manipulation","created":"2026-08-26","cited_by_count":0,"area":"vla"}],"next_cursor":null}