{"total":105,"rows":[{"id":"2406.09246","title":"OpenVLA: An Open-Source Vision-Language-Action Model","created":"2024-06-13","cited_by_count":2887,"area":"vla"},{"id":"2411.19650","title":"CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation","created":"2024-11-29","cited_by_count":422,"area":"vla"},{"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":"2409.12514","title":"TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation","created":"2024-09-19","cited_by_count":339,"area":"vla"},{"id":"2412.10345","title":"TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies","created":"2024-12-13","cited_by_count":304,"area":"vla"},{"id":"2405.14093","title":"A Survey on Vision-Language-Action Models for Embodied AI","created":"2024-05-23","cited_by_count":279,"area":"vla"},{"id":"2508.19236","title":"MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation","created":"2025-08-26","cited_by_count":192,"area":"vla"},{"id":"2503.10631","title":"HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model","created":"2025-03-13","cited_by_count":181,"area":"vla"},{"id":"2505.18719","title":"VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning","created":"2025-05-24","cited_by_count":176,"area":"vla"},{"id":"2509.09674","title":"SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning","created":"2025-09-11","cited_by_count":151,"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":"2505.19789","title":"What Can RL Bring to VLA Generalization? An Empirical Study","created":"2025-05-26","cited_by_count":108,"area":"vla"},{"id":"2507.15597","title":"Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos","created":"2025-07-21","cited_by_count":102,"area":"vla"},{"id":"2507.01925","title":"A Survey on Vision-Language-Action Models: An Action Tokenization Perspective","created":"2025-07-02","cited_by_count":96,"area":"vla"},{"id":"2506.10100","title":"EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models","created":"2025-06-11","cited_by_count":93,"area":"vla"},{"id":"2508.20072","title":"Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies","created":"2025-08-27","cited_by_count":90,"area":"vla"},{"id":"2603.10448","title":"DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control","created":"2026-03-11","cited_by_count":76,"area":"vla"},{"id":"2410.08001","title":"Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation","created":"2024-10-10","cited_by_count":73,"area":"vla"},{"id":"2503.03480","title":"SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning","created":"2025-03-05","cited_by_count":72,"area":"vla"},{"id":"2506.17811","title":"RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models","created":"2025-06-21","cited_by_count":61,"area":"vla"},{"id":"2507.00416","title":"Evo-0: Vision-Language-Action Model with Implicit Spatial Understanding","created":"2025-07-01","cited_by_count":58,"area":"vla"},{"id":"2505.02152","title":"Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions","created":"2025-05-04","cited_by_count":51,"area":"vla"},{"id":"2506.08440","title":"TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy Optimization","created":"2025-06-10","cited_by_count":49,"area":"vla"},{"id":"2510.00695","title":"HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy","created":"2025-10-01","cited_by_count":46,"area":"vla"},{"id":"2509.05614","title":"SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning","created":"2025-09-06","cited_by_count":43,"area":"vla"},{"id":"2505.16640","title":"BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization","created":"2025-05-22","cited_by_count":38,"area":"vla"},{"id":"2509.22093","title":"Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation","created":"2025-09-26","cited_by_count":34,"area":"vla"},{"id":"2510.24795","title":"A Survey on Efficient Vision-Language-Action Models","created":"2025-10-27","cited_by_count":34,"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":"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":"2407.00114","title":"OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents","created":"2024-06-27","cited_by_count":30,"area":"vla"},{"id":"2602.20309","title":"QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models","created":"2026-02-23","cited_by_count":30,"area":"vla"},{"id":"2602.03782","title":"QVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization","created":"2026-02-03","cited_by_count":28,"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":"2506.00411","title":"LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks","created":"2025-05-31","cited_by_count":26,"area":"vla"},{"id":"2511.18960","title":"AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention","created":"2025-11-24","cited_by_count":25,"area":"vla"},{"id":"2509.04018","title":"FPC-VLA: A Vision-Language-Action Framework with a Supervisor for Failure Prediction and Correction","created":"2025-09-04","cited_by_count":21,"area":"vla"},{"id":"2509.19870","title":"FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models","created":"2025-09-24","cited_by_count":21,"area":"vla"},{"id":"2511.01571","title":"PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model","created":"2025-11-03","cited_by_count":18,"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":"2510.09269","title":"Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects","created":"2025-10-10","cited_by_count":17,"area":"vla"},{"id":"2511.16449","title":"Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA Inference","created":"2025-11-20","cited_by_count":17,"area":"vla"},{"id":"2603.22003","title":"VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models","created":"2026-03-23","cited_by_count":17,"area":"vla"},{"id":"2502.04558","title":"Probing a Vision-Language-Action Model for Symbolic States and Integration into a Cognitive Architecture","created":"2025-02-06","cited_by_count":16,"area":"vla"},{"id":"2503.01238","title":"A Taxonomy for Evaluating Generalist Robot Manipulation Policies","created":"2025-03-03","cited_by_count":16,"area":"vla"},{"id":"2605.30117","title":"VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing","created":"2026-05-28","cited_by_count":13,"area":"vla"},{"id":"2510.23511","title":"Dexbotic: Open-Source Vision-Language-Action Toolbox","created":"2025-10-27","cited_by_count":12,"area":"vla"},{"id":"2603.06001","title":"Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration","created":"2026-03-06","cited_by_count":12,"area":"vla"},{"id":"2511.16166","title":"EvoVLA: Self-Evolving Vision-Language-Action Model","created":"2025-11-20","cited_by_count":11,"area":"vla"},{"id":"2511.21663","title":"Attention-Guided Patch-Wise Sparse Adversarial Attacks on Vision-Language-Action Models","created":"2025-11-26","cited_by_count":11,"area":"vla"},{"id":"2602.17951","title":"ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models","created":"2026-02-20","cited_by_count":11,"area":"vla"},{"id":"2511.17366","title":"METIS: Multi-Source Egocentric Training for Integrated Dexterous Vision-Language-Action Model","created":"2025-11-21","cited_by_count":10,"area":"vla"},{"id":"2512.05693","title":"HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies","created":"2025-12-05","cited_by_count":10,"area":"vla"},{"id":"2606.09827","title":"MemoryVLA++: Temporal Modeling via Memory and Imagination in Vision-Language-Action Models","created":"2026-06-08","cited_by_count":10,"area":"vla"},{"id":"2509.08820","title":"RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical Experimentation","created":"2025-09-10","cited_by_count":9,"area":"vla"},{"id":"2511.10008","title":"Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks","created":"2025-11-13","cited_by_count":9,"area":"vla"},{"id":"2602.12628","title":"Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models","created":"2026-02-13","cited_by_count":9,"area":"vla"},{"id":"2505.13255","title":"Policy Contrastive Decoding for Robotic Foundation Models","created":"2025-05-19","cited_by_count":8,"area":"vla"},{"id":"2510.08464","title":"Don't Run with Scissors: Pruning Breaks VLA Models but They Can Be Recovered","created":"2025-10-09","cited_by_count":8,"area":"vla"},{"id":"2605.24011","title":"ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models","created":"2026-05-19","cited_by_count":8,"area":"vla"},{"id":"2606.12497","title":"$\\mu$VLA: On Recurrent Memory for Partially Observable Manipulation in VLA Models","created":"2026-06-10","cited_by_count":8,"area":"vla"},{"id":"2510.04898","title":"HyperVLA: Efficient Inference in Vision-Language-Action Models via Hypernetworks","created":"2025-10-06","cited_by_count":7,"area":"vla"},{"id":"2511.17199","title":"VLA-4D: Embedding 4D Awareness into Vision-Language-Action Models for SpatioTemporally Coherent Robotic Manipulation","created":"2025-11-21","cited_by_count":7,"area":"vla"},{"id":"2512.01715","title":"Transport Discrepancy as a Reliability Signal for Vision-Language-Action Models","created":"2025-12-01","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":"2503.04163","title":"VLA Model-Expert Collaboration for Bi-directional Manipulation Learning","created":"2025-03-06","cited_by_count":5,"area":"vla"},{"id":"2510.16617","title":"MoS-VLA: A Vision-Language-Action Model with One-Shot Skill Adaptation","created":"2025-10-18","cited_by_count":5,"area":"vla"},{"id":"2511.05397","title":"EveryDayVLA: A Vision-Language-Action Model for Affordable Robotic Manipulation","created":"2025-11-07","cited_by_count":5,"area":"vla"},{"id":"2602.08602","title":"Mimic Intent, Not Just Trajectories","created":"2026-02-09","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":"2511.21542","title":"E0: Enhancing Generalization and Fine-Grained Control in VLA Models via Tweedie Discrete Diffusion","created":"2025-11-26","cited_by_count":4,"area":"vla"},{"id":"2512.03724","title":"PosA-VLA: Enhancing Action Generation via Pose-Conditioned Anchor Attention","created":"2025-12-03","cited_by_count":4,"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":"2602.01158","title":"Improving Robustness of Vision-Language-Action Models by Restoring Corrupted Visual Inputs","created":"2026-02-01","cited_by_count":4,"area":"vla"},{"id":"2603.14604","title":"Tactile Modality Fusion for Vision-Language-Action Models","created":"2026-03-15","cited_by_count":4,"area":"vla"},{"id":"2607.07608","title":"Dual Latent Memory in Vision-Language-Action Models for Robotic Manipulation","created":"2026-07-08","cited_by_count":4,"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":"2511.05936","title":"10 Open Challenges Steering the Future of Vision-Language-Action Models","created":"2025-11-08","cited_by_count":2,"area":"vla"},{"id":"2511.09958","title":"Audio-VLA: Adding Contact Audio Perception to Vision-Language-Action Model for Robotic Manipulation","created":"2025-11-13","cited_by_count":2,"area":"vla"},{"id":"2605.09005","title":"Towards Backdoor-Based Ownership Verification for Vision-Language-Action Models","created":"2026-05-09","cited_by_count":2,"area":"vla"},{"id":"2605.28803","title":"HoloQ-VLA: Uniform W4A4 Quantization of Vision-Language-Action Models","created":"2026-05-27","cited_by_count":2,"area":"vla"},{"id":"2606.17924","title":"PearlVLA: Progressive Embodied Action-Plan Refinement in Latent Space","created":"2026-06-16","cited_by_count":2,"area":"vla"},{"id":"2606.22913","title":"Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving","created":"2026-06-22","cited_by_count":2,"area":"vla"},{"id":"2607.06564","title":"Lift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware Manipulation","created":"2026-07-07","cited_by_count":2,"area":"vla"},{"id":"2508.11960","title":"Human Centric General Physical Intelligence for Agile Manufacturing Automation","created":"2025-08-16","cited_by_count":1,"area":"vla"},{"id":"2512.04446","title":"Vision-Language-Action Models for Selective Robotic Disassembly: A Case Study on Critical Component Extraction from Desktops","created":"2025-12-04","cited_by_count":1,"area":"vla"},{"id":"2602.00686","title":"Learning to Accelerate Vision-Language-Action Models through Adaptive Visual Token Caching","created":"2026-01-31","cited_by_count":1,"area":"vla"},{"id":"2603.00926","title":"DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation","created":"2026-03-01","cited_by_count":1,"area":"vla"},{"id":"2603.24941","title":"Beyond Attention Magnitude: Leveraging Inter-layer Rank Consistency for Efficient Vision-Language-Action Models","created":"2026-03-26","cited_by_count":1,"area":"vla"},{"id":"2608.06729","title":"AtlasVLA: Persistent World-Ego State Modeling for Vision-Language-Action Models","created":"2026-08-07","cited_by_count":1,"area":"vla"},{"id":"2608.10824","title":"Neural Introspection Gating for Adaptive KV-Cache Reuse in Vision-Language-Action Models","created":"2026-08-11","cited_by_count":1,"area":"vla"},{"id":"2510.25713","title":"Robotic Assistant: Completing Collaborative Tasks with Dexterous Vision-Language-Action Models","created":"2025-10-29","cited_by_count":0,"area":"vla"},{"id":"2603.22876","title":"Grounding Sim-to-Real Generalization in Robotic Manipulation: An Empirical Study with Vision-Language-Action Models","created":"2026-03-24","cited_by_count":0,"area":"vla"},{"id":"2604.01570","title":"Boosting Vision-Language-Action Finetuning with Feasible Action Neighborhood Prior","created":"2026-04-02","cited_by_count":0,"area":"vla"},{"id":"2606.00269","title":"Closed-Loop Neural Activation Control in Vision-Language-Action Models","created":"2026-05-29","cited_by_count":0,"area":"vla"},{"id":"2606.07383","title":"RhinoVLA Technical Report","created":"2026-06-05","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":"2608.20890","title":"A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous Driving","created":"2026-08-21","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":"2609.22335","title":"KerColle: Unlocking Fine-Grained GPU Concurrency in Vision-Language-Action Models","created":"2026-09-16","cited_by_count":0,"area":"vla"}],"next_cursor":"100"}