{"total":40,"rows":[{"id":"2501.15830","title":"SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model","created":"2025-01-27","cited_by_count":519,"area":"vla"},{"id":"2510.12276","title":"Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model","created":"2025-10-14","cited_by_count":134,"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":"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":"2512.16760","title":"Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future","created":"2025-12-18","cited_by_count":33,"area":"vla"},{"id":"2603.12942","title":"ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries","created":"2026-03-13","cited_by_count":29,"area":"vla"},{"id":"2512.04952","title":"FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization","created":"2025-12-04","cited_by_count":22,"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":"2510.14836","title":"QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision-Language-Action Models","created":"2025-10-16","cited_by_count":21,"area":"vla"},{"id":"2507.17049","title":"Evaluating Uncertainty and Quality of Vision-Language-Action-enabled Robots","created":"2025-07-22","cited_by_count":17,"area":"vla"},{"id":"2510.07134","title":"TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking","created":"2025-10-08","cited_by_count":17,"area":"vla"},{"id":"2602.02142","title":"FD-VLA: Force-Distilled Vision-Language-Action Model for Contact-Rich Manipulation","created":"2026-02-02","cited_by_count":17,"area":"vla"},{"id":"2511.21192","title":"When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models","created":"2025-11-26","cited_by_count":13,"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":"2603.28301","title":"LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models","created":"2026-03-30","cited_by_count":11,"area":"vla"},{"id":"2507.02190","title":"cVLA: Towards Efficient Camera-Space VLAs","created":"2025-07-02","cited_by_count":8,"area":"vla"},{"id":"2510.20818","title":"VAMOS: A Hierarchical Vision-Language-Action Model for Capability-Modulated and Steerable Navigation","created":"2025-10-23","cited_by_count":7,"area":"vla"},{"id":"2602.09722","title":"Rethinking Visual-Language-Action Model Scaling: Alignment, Mixture, and Regularization","created":"2026-02-10","cited_by_count":7,"area":"vla"},{"id":"2603.02083","title":"$\\pi$-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs","created":"2026-03-02","cited_by_count":6,"area":"vla"},{"id":"2505.19080","title":"ReFineVLA: Reasoning-Aware Teacher-Guided Transfer Fine-Tuning","created":"2025-05-25","cited_by_count":5,"area":"vla"},{"id":"2602.03983","title":"Efficient Long-Horizon Vision-Language-Action Models via Static-Dynamic Disentanglement","created":"2026-02-03","cited_by_count":5,"area":"vla"},{"id":"2510.03895","title":"NoTVLA: Semantics-Preserving Robot Adaptation via Narrative Action Interfaces","created":"2025-10-04","cited_by_count":4,"area":"vla"},{"id":"2603.03380","title":"LiteVLA-Edge: Quantized On-Device Multimodal Control for Embedded Robotics","created":"2026-03-03","cited_by_count":4,"area":"vla"},{"id":"2605.01191","title":"Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery","created":"2026-05-02","cited_by_count":4,"area":"vla"},{"id":"2602.21013","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","created":"2026-02-24","cited_by_count":3,"area":"vla"},{"id":"2606.27755","title":"Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?","created":"2026-06-26","cited_by_count":3,"area":"vla"},{"id":"2512.15411","title":"MiVLA: Towards Generalizable Vision-Language-Action Model with Human-Robot Mutual Imitation Pre-training","created":"2025-12-17","cited_by_count":2,"area":"vla"},{"id":"2604.10432","title":"AnySlot: Goal-Conditioned Vision-Language-Action Policies for Zero-Shot Slot-Level Placement","created":"2026-04-12","cited_by_count":2,"area":"vla"},{"id":"2605.01772","title":"Anticipation-VLA: Solving Long-Horizon Embodied Tasks via Anticipation-based Subgoal Generation","created":"2026-05-03","cited_by_count":2,"area":"vla"},{"id":"2606.04708","title":"VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI data for VLA Training","created":"2026-06-03","cited_by_count":2,"area":"vla"},{"id":"2606.17598","title":"MuseVLA: An Adaptive Multimodal Sensing Vision-Language-Action Model for Robotic Manipulation","created":"2026-06-16","cited_by_count":2,"area":"vla"},{"id":"2607.18231","title":"FM-VLA: Force-based Memory for Vision-Language-Action Models in Contact-Rich Manipulation","created":"2026-07-20","cited_by_count":2,"area":"vla"},{"id":"2602.05233","title":"MobileManiBench: Simplifying Model Verification for Mobile Manipulation","created":"2026-02-05","cited_by_count":1,"area":"vla"},{"id":"2605.09948","title":"LoopVLA: Learning Sufficiency in Recurrent Refinement for Vision-Language-Action Models","created":"2026-05-11","cited_by_count":1,"area":"vla"},{"id":"2606.23641","title":"Flatness Preserves Instruction Following in Vision-Language-Action Models","created":"2026-06-22","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":"2606.15714","title":"Beyond English: Uncovering the Multilingual Gap in Vision-Language-Action Models","created":"2026-06-14","cited_by_count":0,"area":"vla"},{"id":"2608.25585","title":"RA-VLA: Retrieval-Augmented VLA for Test-Time Adaptation","created":"2026-08-26","cited_by_count":0,"area":"vla"},{"id":"2608.26578","title":"TrapVLA: Trapping Vision-Language-Action Models in Configured Failure Modes","created":"2026-08-27","cited_by_count":0,"area":"vla"},{"id":"2610.04659","title":"PermVLA: Factorization Order as a Regularizer for VLA Learning","created":"2026-10-03","cited_by_count":0,"area":"vla"}],"next_cursor":null}