{"total":17,"rows":[{"id":"2608.26645","title":"FLARE: A Failure-Aware Framework for Autonomous Correction and Recovery in Visual-Language Robotic Manipulation","created":"2026-08-27","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":"2605.07381","title":"Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation","created":"2026-05-08","cited_by_count":4,"area":"vla"},{"id":"2605.19678","title":"RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action Models","created":"2026-05-19","cited_by_count":3,"area":"vla"},{"id":"2606.10501","title":"Uncovering Vulnerability of Vision-Language-Action Models under Joint-Level Physical Faults","created":"2026-06-09","cited_by_count":2,"area":"vla"},{"id":"2605.13105","title":"What to Ignore, What to React: Visually Robust RL Fine-Tuning of VLA Models","created":"2026-05-13","cited_by_count":1,"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":"2606.00053","title":"VLAMotor: Test-Guided Enhancement of Vision-Language-Action Models via Agent-BasedData Synthesis","created":"2026-05-16","cited_by_count":0,"area":"vla"},{"id":"2606.25800","title":"ROAD-VLA: Robust Online Adaptation via Self-Distillation for Vision-Language-Action Models","created":"2026-06-24","cited_by_count":0,"area":"vla"},{"id":"2609.06114","title":"Where Success Breaks: Failure-Boundary Learning for Robust Vision-Language-Action Models","created":"2026-09-05","cited_by_count":0,"area":"vla"},{"id":"2609.28838","title":"Uncertainty-Gated Exploration Noise Suppresses Task Collapse in Online RL Fine-Tuning of a Flow-Matching Vision-Language-Action Policy","created":"2026-09-23","cited_by_count":0,"area":"vla"},{"id":"2609.32550","title":"Are Vision-Language-Action Models Robust to One-Step Observation Perturbations?","created":"2026-09-26","cited_by_count":0,"area":"vla"},{"id":"2609.37334","title":"Taming VLAs under Robot Execution Errors: Self-Compensation and Stress Testing","created":"2026-09-29","cited_by_count":0,"area":"vla"},{"id":"2609.37530","title":"RawVLA: Embodied Neural Image Signal Processor For Robotic Manipulation","created":"2026-09-29","cited_by_count":0,"area":"vla"},{"id":"2610.05994","title":"How (and How Not) to Use Data Augmentation in VLA Post-Training","created":"2026-10-05","cited_by_count":0,"area":"vla"},{"id":"2610.11971","title":"CAPABLE: Capability-Aware Policy Adaptation via Behavioral Latent Encoding","created":"2026-10-08","cited_by_count":0,"area":"vla"},{"id":"2610.16567","title":"VLA-GAUGE: Systematically Evaluating Generalization and Robustness in Vision-Language-Action Models","created":"2026-10-12","cited_by_count":0,"area":"vla"}],"next_cursor":null}