{"total":129,"rows":[{"id":"2406.09246","title":"OpenVLA: An Open-Source Vision-Language-Action Model","created":"2024-06-13","cited_by_count":2887,"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":"2410.11758","title":"Latent Action Pretraining from Videos","created":"2024-10-15","cited_by_count":321,"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":"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":"2502.05450","title":"ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy","created":"2025-02-08","cited_by_count":154,"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":"2505.19789","title":"What Can RL Bring to VLA Generalization? An Empirical Study","created":"2025-05-26","cited_by_count":108,"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":"2410.08001","title":"Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation","created":"2024-10-10","cited_by_count":73,"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":"2506.08440","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":"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":"2509.12594","title":"The Better You Learn, The Smarter You Prune: Towards Efficient Vision-language-action Models via Differentiable Token Pruning","created":"2025-09-16","cited_by_count":36,"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":"2512.11891","title":"VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer","created":"2025-12-09","cited_by_count":34,"area":"vla"},{"id":"2509.00328","title":"Mechanistic interpretability for steering vision-language-action models","created":"2025-08-30","cited_by_count":31,"area":"vla"},{"id":"2511.09516","title":"MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation","created":"2025-11-12","cited_by_count":28,"area":"vla"},{"id":"2512.13636","title":"MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning","created":"2025-12-15","cited_by_count":25,"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":"2601.09512","title":"CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion","created":"2026-01-14","cited_by_count":17,"area":"vla"},{"id":"2603.11653","title":"Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning","created":"2026-03-12","cited_by_count":17,"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":"2511.17889","title":"MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots","created":"2025-11-22","cited_by_count":15,"area":"vla"},{"id":"2602.23648","title":"FAVLA: A Force-Adaptive Fast-Slow VLA model for Contact-Rich Robotic Manipulation","created":"2026-02-27","cited_by_count":15,"area":"vla"},{"id":"2505.15304","title":"Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control","created":"2025-05-21","cited_by_count":12,"area":"vla"},{"id":"2506.10826","title":"RationalVLA: A Rational Vision-Language-Action Model with Dual System","created":"2025-06-12","cited_by_count":12,"area":"vla"},{"id":"2512.02902","title":"VLA Models Are More Generalizable Than You Think: Revisiting Physical and Spatial Modeling","created":"2025-12-02","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":"2605.25477","title":"EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models","created":"2026-05-25","cited_by_count":11,"area":"vla"},{"id":"2512.13100","title":"OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning","created":"2025-12-15","cited_by_count":10,"area":"vla"},{"id":"2510.09976","title":"Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models","created":"2025-10-11","cited_by_count":9,"area":"vla"},{"id":"2511.05642","title":"Lite VLA: Efficient Vision-Language-Action Control on CPU-Bound Edge Robots","created":"2025-11-07","cited_by_count":9,"area":"vla"},{"id":"2602.22663","title":"Rethinking the Practicality of Vision-language-action Model: A Comprehensive Benchmark and An Improved Baseline","created":"2026-02-26","cited_by_count":9,"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":"2605.13119","title":"Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models","created":"2026-05-13","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":"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":"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":"2510.20818","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":"2511.06202","title":"ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval","created":"2025-11-09","cited_by_count":7,"area":"vla"},{"id":"2511.18950","title":"Compressor-VLA: Instruction-Guided Visual Token Compression for Efficient Robotic Manipulation","created":"2025-11-24","cited_by_count":7,"area":"vla"},{"id":"2505.02166","title":"CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation","created":"2025-05-04","cited_by_count":6,"area":"vla"},{"id":"2509.14889","title":"CollabVLA: Self-Reflective Vision-Language-Action Model Dreaming Together with Human","created":"2025-09-18","cited_by_count":6,"area":"vla"},{"id":"2509.23655","title":"Focusing on What Matters: Object-Agent-centric Tokenization for Vision Language Action models","created":"2025-09-28","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":"2603.00592","title":"LangGap: Diagnosing and Closing the Language Gap in Vision-Language-Action Models","created":"2026-02-28","cited_by_count":6,"area":"vla"},{"id":"2603.07404","title":"Adaptive Capacity Allocation for Vision Language Action Fine-tuning","created":"2026-03-08","cited_by_count":6,"area":"vla"},{"id":"2603.17573","title":"HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness","created":"2026-03-18","cited_by_count":6,"area":"vla"},{"id":"2604.20834","title":"PokeVLA: Empowering Pocket-Sized Vision-Language-Action Model with Comprehensive World Knowledge Guidance","created":"2026-04-22","cited_by_count":6,"area":"vla"},{"id":"2510.05580","title":"MetaVLA: Unified Meta Co-training For Efficient Embodied Adaption","created":"2025-10-07","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":"2602.03983","title":"Efficient Long-Horizon Vision-Language-Action Models via Static-Dynamic Disentanglement","created":"2026-02-03","cited_by_count":5,"area":"vla"},{"id":"2602.04315","title":"GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning","created":"2026-02-04","cited_by_count":5,"area":"vla"},{"id":"2606.12352","title":"CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy","created":"2026-06-10","cited_by_count":5,"area":"vla"},{"id":"2509.24768","title":"IA-VLA: Input Augmentation for Vision-Language-Action models in settings with semantically complex tasks","created":"2025-09-29","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":"2605.04678","title":"From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models","created":"2026-05-06","cited_by_count":4,"area":"vla"},{"id":"2605.24642","title":"Understanding the Impact of Geometric Foundation Models on Vision-Language-Action Models","created":"2026-05-23","cited_by_count":4,"area":"vla"},{"id":"2606.12299","title":"Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model Steering","created":"2026-06-10","cited_by_count":4,"area":"vla"},{"id":"2504.15517","title":"Few-Shot Vision-Language Action-Incremental Policy Learning","created":"2025-04-22","cited_by_count":3,"area":"vla"},{"id":"2512.11921","title":"Towards Accessible Physical AI: LoRA-Based Fine-Tuning of VLA Models for Real-World Robot Control","created":"2025-12-11","cited_by_count":3,"area":"vla"},{"id":"2602.05049","title":"VISTA: Enhancing Visual Conditioning via Track-Following Preference Optimization in Vision-Language-Action Models","created":"2026-02-04","cited_by_count":3,"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":"2604.22238","title":"CodeGraphVLP: Code-as-Planner Meets Semantic-Graph State for Non-Markovian Vision-Language-Action Models","created":"2026-04-24","cited_by_count":3,"area":"vla"},{"id":"2606.31329","title":"3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance","created":"2026-06-30","cited_by_count":3,"area":"vla"},{"id":"2510.00600","title":"Hybrid Training for Vision-Language-Action Models","created":"2025-10-01","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":"2603.24935","title":"SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models","created":"2026-03-26","cited_by_count":2,"area":"vla"},{"id":"2605.06175","title":"VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts","created":"2026-05-07","cited_by_count":2,"area":"vla"},{"id":"2605.17486","title":"DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization","created":"2026-05-17","cited_by_count":2,"area":"vla"},{"id":"2606.09630","title":"ReCoVLA: VLM-Guided Reward Compilation for Failure Recovery in Vision-Language-Action Policies","created":"2026-06-08","cited_by_count":2,"area":"vla"},{"id":"2606.22540","title":"PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models","created":"2026-06-21","cited_by_count":2,"area":"vla"},{"id":"2606.24884","title":"InSight: Self-Guided Skill Acquisition via Steerable VLAs","created":"2026-06-23","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":"2607.16506","title":"Foresight Residual RL for Long-Horizon Robot Manipulation with Vision-Language-Action Models","created":"2026-07-17","cited_by_count":2,"area":"vla"},{"id":"2608.04396","title":"CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention","created":"2026-08-05","cited_by_count":2,"area":"vla"},{"id":"2609.18207","title":"Reinforcement Learning for Real-Time Vision-Language-Action Policies","created":"2026-09-16","cited_by_count":2,"area":"vla"},{"id":"2510.17369","title":"Bridging Embodiment Gaps: Deploying Vision-Language-Action Models on Soft Robots","created":"2025-10-20","cited_by_count":1,"area":"vla"},{"id":"2512.01773","title":"IGen: Scalable Data Generation for Robot Learning from Open-World Images","created":"2025-12-01","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":"2603.25044","title":"ThermoAct:Thermal-Aware Vision-Language-Action Models for Robotic Perception and Decision-Making","created":"2026-03-26","cited_by_count":1,"area":"vla"},{"id":"2605.16241","title":"Offline Semantic Guidance for Efficient Vision-Language-Action Policy Distillation","created":"2026-05-15","cited_by_count":1,"area":"vla"},{"id":"2605.28486","title":"Mag-VLA: Vision-Language-Action Model for Bimanual Magnetically Actuated Microrobot Manipulation","created":"2026-05-27","cited_by_count":1,"area":"vla"},{"id":"2606.12109","title":"InDex: Empowering VLA Models with Intent-Conditioned Arm-Hand Coordination for Dexterous Manipulation","created":"2026-06-10","cited_by_count":1,"area":"vla"},{"id":"2606.13279","title":"See Selectively, Act Adaptively: Dual-Level Structural Decomposition for Bimanual Robot Manipulation","created":"2026-06-11","cited_by_count":1,"area":"vla"},{"id":"2607.10172","title":"On the Efficiency of LoRA Fine-Tuning for Vision-Language-Action Models in Industrial Robotic Manipulation","created":"2026-07-11","cited_by_count":1,"area":"vla"},{"id":"2607.27881","title":"RoboBRIDGE: A Modular Framework for Bridging Policies to Robust Real-World Robotic Agents","created":"2026-07-30","cited_by_count":1,"area":"vla"},{"id":"2608.07621","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","created":"2026-08-07","cited_by_count":1,"area":"vla"},{"id":"2608.11363","title":"Adaptation of Generalist Robot Policies with Minimal Data","created":"2026-08-11","cited_by_count":1,"area":"vla"},{"id":"2608.14047","title":"Evolve Vision-Language-Action Model into an Agent with On-the-fly Tool-use","created":"2026-08-14","cited_by_count":1,"area":"vla"},{"id":"2609.06251","title":"MobileVLA-R1 2.0: RL-Enhanced Reasoning for Mobile Robot Control","created":"2026-09-05","cited_by_count":1,"area":"vla"},{"id":"2609.35432","title":"Self-Evolving Coding Agents: From Digital Programs to Physical-World Intelligence","created":"2026-09-28","cited_by_count":1,"area":"vla"},{"id":"2610.04805","title":"ExStereo: Lifting 2D Vision-Language-Action Models to 3D with Explicit Stereo Representations","created":"2026-10-03","cited_by_count":1,"area":"vla"},{"id":"2509.07957","title":"Graph-Fused Vision-Language-Action for Policy Reasoning in Multi-Arm Robotic Manipulation","created":"2025-09-09","cited_by_count":0,"area":"vla"},{"id":"2603.01490","title":"ATA: Bridging Implicit Reasoning with Attention-Guided and Action-Guided Inference for Vision-Language Action Models","created":"2026-03-02","cited_by_count":0,"area":"vla"}],"next_cursor":"100"}