{"total":230,"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":"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":"2410.11758","title":"Latent Action Pretraining from Videos","created":"2024-10-15","cited_by_count":321,"area":"vla"},{"id":"2510.10274","title":"X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model","created":"2025-10-11","cited_by_count":303,"area":"vla"},{"id":"2510.13626","title":"LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models","created":"2025-10-15","cited_by_count":303,"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":"2510.03827","title":"LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization","created":"2025-10-04","cited_by_count":179,"area":"vla"},{"id":"2512.15692","title":"mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs","created":"2025-12-17","cited_by_count":142,"area":"vla"},{"id":"2506.19850","title":"Unified Vision-Language-Action Model","created":"2025-06-24","cited_by_count":134,"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":"2502.05485","title":"HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation","created":"2025-02-08","cited_by_count":130,"area":"vla"},{"id":"2507.12440","title":"EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos","created":"2025-07-16","cited_by_count":128,"area":"vla"},{"id":"2411.19309","title":"GRAPE: Generalizing Robot Policy via Preference Alignment","created":"2024-11-28","cited_by_count":109,"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":"2410.13816","title":"Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance","created":"2024-10-17","cited_by_count":106,"area":"vla"},{"id":"2601.18692","title":"A Pragmatic VLA Foundation Model","created":"2026-01-26","cited_by_count":103,"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":"2509.06951","title":"F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions","created":"2025-09-08","cited_by_count":86,"area":"vla"},{"id":"2506.09937","title":"SAFE: Multitask Failure Detection for Vision-Language-Action Models","created":"2025-06-11","cited_by_count":80,"area":"vla"},{"id":"2511.00091","title":"Self-Improving Vision-Language-Action Models with Data Generation via Residual RL","created":"2025-10-30","cited_by_count":78,"area":"vla"},{"id":"2503.19757","title":"Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy","created":"2025-03-25","cited_by_count":74,"area":"vla"},{"id":"2508.13073","title":"Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey","created":"2025-08-18","cited_by_count":69,"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":"2506.12723","title":"SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration","created":"2025-06-15","cited_by_count":58,"area":"vla"},{"id":"2509.04996","title":"FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies","created":"2025-09-05","cited_by_count":57,"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":"2505.07395","title":"ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning","created":"2025-05-12","cited_by_count":47,"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":"2409.12894","title":"VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation","created":"2024-09-19","cited_by_count":45,"area":"vla"},{"id":"2602.12684","title":"Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution","created":"2026-02-13","cited_by_count":45,"area":"vla"},{"id":"2605.30280","title":"Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments","created":"2026-05-28","cited_by_count":44,"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":"2410.15959","title":"Diffusion Transformer Policy","created":"2024-10-21","cited_by_count":41,"area":"vla"},{"id":"2511.01718","title":"Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process","created":"2025-11-03","cited_by_count":39,"area":"vla"},{"id":"2510.04246","title":"ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context","created":"2025-10-05","cited_by_count":35,"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":"2601.22153","title":"DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation","created":"2026-01-29","cited_by_count":34,"area":"vla"},{"id":"2506.03350","title":"Adversarial Attacks on Robotic Vision Language Action Models","created":"2025-06-03","cited_by_count":32,"area":"vla"},{"id":"2508.06426","title":"Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation","created":"2025-08-08","cited_by_count":31,"area":"vla"},{"id":"2512.22539","title":"VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models","created":"2025-12-27","cited_by_count":31,"area":"vla"},{"id":"2604.11757","title":"StarVLA-$\\alpha$: Reducing Complexity in Vision-Language-Action Systems","created":"2026-04-13","cited_by_count":31,"area":"vla"},{"id":"2505.21200","title":"Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models","created":"2025-05-27","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":"2601.15197","title":"LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries","created":"2026-01-21","cited_by_count":27,"area":"vla"},{"id":"2509.14117","title":"GeoAware-VLA: Implicit Geometry Aware Vision-Language-Action Model","created":"2025-09-17","cited_by_count":26,"area":"vla"},{"id":"2512.05107","title":"STARE-VLA: Progressive Stage-Aware Reinforcement for Fine-Tuning Vision-Language-Action Models","created":"2025-12-04","cited_by_count":24,"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":"2510.05681","title":"Verifier-free Test-Time Sampling for Vision-Language-Action Models","created":"2025-10-07","cited_by_count":23,"area":"vla"},{"id":"2503.14526","title":"ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis","created":"2025-03-15","cited_by_count":22,"area":"vla"},{"id":"2507.05116","title":"VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting","created":"2025-07-07","cited_by_count":22,"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":"2602.06556","title":"LIBERO-X: Robustness Litmus for Vision-Language-Action Models","created":"2026-02-06","cited_by_count":22,"area":"vla"},{"id":"2606.20092","title":"EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies","created":"2026-06-18","cited_by_count":22,"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":"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":"2602.12281","title":"Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment","created":"2026-02-12","cited_by_count":21,"area":"vla"},{"id":"2511.11478","title":"Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective","created":"2025-11-14","cited_by_count":20,"area":"vla"},{"id":"2603.15620","title":"Towards Generalizable Robotic Manipulation in Dynamic Environments","created":"2026-03-16","cited_by_count":20,"area":"vla"},{"id":"2510.23571","title":"RobotArena $\\infty$: Scalable Robot Benchmarking via Real-to-Sim Translation","created":"2025-10-27","cited_by_count":18,"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":"2608.11739","title":"G0.5: One Autoregressive Stream for Robot Reasoning and Action","created":"2026-08-12","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":"2511.14148","title":"AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models","created":"2025-11-18","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":"2503.01238","title":"A Taxonomy for Evaluating Generalist Robot Manipulation Policies","created":"2025-03-03","cited_by_count":16,"area":"vla"},{"id":"2510.25889","title":"$\\pi_\\texttt{RL}$: Online RL Fine-tuning for Flow-based Vision-Language-Action Models","created":"2025-10-29","cited_by_count":16,"area":"vla"},{"id":"2603.10712","title":"FutureVLA: Joint Visuomotor Prediction for Vision-Language-Action Model","created":"2026-03-11","cited_by_count":16,"area":"vla"},{"id":"2509.04063","title":"Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models","created":"2025-09-04","cited_by_count":15,"area":"vla"},{"id":"2512.19562","title":"REALM: A Real-to-Sim Validated Benchmark for Generalization in Robotic Manipulation","created":"2025-12-22","cited_by_count":15,"area":"vla"},{"id":"2603.19233","title":"Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models","created":"2026-03-19","cited_by_count":15,"area":"vla"},{"id":"2602.00557","title":"ConLA: Contrastive Latent Action Learning from Human Videos for Robotic Manipulation","created":"2026-01-31","cited_by_count":14,"area":"vla"},{"id":"2602.03668","title":"MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction","created":"2026-02-03","cited_by_count":14,"area":"vla"},{"id":"2509.22643","title":"VLA-Reasoner: Empowering Vision-Language-Action Models with Reasoning via Online Monte Carlo Tree Search","created":"2025-09-26","cited_by_count":13,"area":"vla"},{"id":"2602.10503","title":"Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning","created":"2026-02-11","cited_by_count":13,"area":"vla"},{"id":"2508.19257","title":"TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models","created":"2025-08-15","cited_by_count":12,"area":"vla"},{"id":"2510.23511","title":"Dexbotic: Open-Source Vision-Language-Action Toolbox","created":"2025-10-27","cited_by_count":12,"area":"vla"},{"id":"2603.07904","title":"DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models","created":"2026-03-09","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":"2509.21986","title":"Developing Vision-Language-Action Model from Egocentric Videos","created":"2025-09-26","cited_by_count":11,"area":"vla"},{"id":"2603.25399","title":"LaMP: Learning Vision-Language-Action Policy with 3D Scene Flow as Latent Motion Prior","created":"2026-03-26","cited_by_count":11,"area":"vla"},{"id":"2511.23034","title":"LatBot: Distilling Universal Latent Actions for Vision-Language-Action Models","created":"2025-11-28","cited_by_count":10,"area":"vla"},{"id":"2602.18224","title":"SimVLA: A Simple VLA Baseline for Robotic Manipulation","created":"2026-02-20","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":"2606.23686","title":"LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models","created":"2026-06-22","cited_by_count":10,"area":"vla"},{"id":"2603.09298","title":"CORAL: Scalable Multi-Task Robot Learning via LoRA Experts","created":"2026-03-10","cited_by_count":9,"area":"vla"},{"id":"2603.25661","title":"Fast-dVLA: Accelerating Discrete Diffusion VLA to Real-Time Performance","created":"2026-03-26","cited_by_count":9,"area":"vla"},{"id":"2604.27472","title":"PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations","created":"2026-04-30","cited_by_count":9,"area":"vla"},{"id":"2606.00773","title":"SafeVLA-Bench: A Benchmark for the Success-Safety Gap in Vision-Language-Action Models","created":"2026-05-30","cited_by_count":9,"area":"vla"},{"id":"2606.03127","title":"TTT-VLA: Test-Time Latent Prompt Optimization for Vision-Language-Action Models","created":"2026-06-02","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":"2507.02190","title":"cVLA: Towards Efficient Camera-Space VLAs","created":"2025-07-02","cited_by_count":8,"area":"vla"},{"id":"2509.14932","title":"Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale","created":"2025-09-18","cited_by_count":8,"area":"vla"},{"id":"2603.05868","title":"AnyCamVLA: Zero-Shot Camera Adaptation for Viewpoint Robust Vision-Language-Action Models","created":"2026-03-06","cited_by_count":8,"area":"vla"},{"id":"2604.23001","title":"Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines","created":"2026-04-24","cited_by_count":8,"area":"vla"},{"id":"2508.15201","title":"Survey of Vision-Language-Action Models for Embodied Manipulation","created":"2025-08-21","cited_by_count":7,"area":"vla"}],"next_cursor":"100"}