{"total":146,"rows":[{"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":"2511.14759","title":"$\\pi^{*}_{0.6}$: a VLA That Learns From Experience","created":"2025-11-18","cited_by_count":303,"area":"vla"},{"id":"2511.00088","title":"Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail","created":"2025-10-30","cited_by_count":146,"area":"lr"},{"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":"2604.15483","title":"${\\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities","created":"2026-04-16","cited_by_count":138,"area":null},{"id":"2604.05014","title":"StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing","created":"2026-04-06","cited_by_count":112,"area":"wm"},{"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":"2510.07077","title":"Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications","created":"2025-10-08","cited_by_count":84,"area":"mllm"},{"id":"2510.13778","title":"InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy","created":"2025-10-15","cited_by_count":84,"area":"vla"},{"id":"2508.21046","title":"CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification","created":"2025-08-28","cited_by_count":74,"area":"mllm"},{"id":"2507.17520","title":"InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation","created":"2025-07-23","cited_by_count":72,"area":"lr"},{"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":"2603.03596","title":"MEM: Multi-Scale Embodied Memory for Vision Language Action Models","created":"2026-03-04","cited_by_count":61,"area":"vla"},{"id":"2512.01031","title":"VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference","created":"2025-11-30","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":"2606.15768","title":"LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies","created":"2026-06-14","cited_by_count":52,"area":"wm"},{"id":"2605.02881","title":"MolmoAct2: Action Reasoning Models for Real-world Deployment","created":"2026-05-04","cited_by_count":50,"area":"lr"},{"id":"2606.17846","title":"Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models","created":"2026-06-16","cited_by_count":50,"area":null},{"id":"2509.19012","title":"Pure Vision Language Action (VLA) Models: A Comprehensive Survey","created":"2025-09-23","cited_by_count":49,"area":"mllm"},{"id":"2510.13054","title":"VLA-0: Building State-of-the-Art VLAs with Zero Modification","created":"2025-10-15","cited_by_count":49,"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":"2510.19430","title":"GigaBrain-0: A World Model-Powered Vision-Language-Action Model","created":"2025-10-22","cited_by_count":44,"area":"wm"},{"id":"2512.22414","title":"Emergence of Human to Robot Transfer in Vision-Language-Action Models","created":"2025-12-27","cited_by_count":42,"area":"vla"},{"id":"2601.03309","title":"VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models","created":"2026-01-06","cited_by_count":39,"area":"mllm"},{"id":"2506.13725","title":"CEED-VLA: Consistency Vision-Language-Action Model with Early-Exit Decoding","created":"2025-06-16","cited_by_count":38,"area":"vla"},{"id":"2507.10672","title":"Vision Language Action Models in Robotic Manipulation: A Systematic Review","created":"2025-07-14","cited_by_count":38,"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":"2510.25616","title":"Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization","created":"2025-10-29","cited_by_count":35,"area":"mllm"},{"id":"2506.01953","title":"Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning","created":"2025-06-02","cited_by_count":31,"area":"lr"},{"id":"2508.21112","title":"EO-1: An Open Unified Embodied Foundation Model for General Robot Control","created":"2025-08-28","cited_by_count":31,"area":"lr"},{"id":"2601.04061","title":"CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos","created":"2026-01-07","cited_by_count":31,"area":"vla"},{"id":"2509.25681","title":"dVLA: Diffusion Vision-Language-Action Model with Multimodal Chain-of-Thought","created":"2025-09-30","cited_by_count":30,"area":"lr"},{"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":"2602.12099","title":"GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning","created":"2026-02-12","cited_by_count":24,"area":"wm"},{"id":"2510.11027","title":"Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning","created":"2025-10-13","cited_by_count":23,"area":"lr"},{"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":"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":"2602.13193","title":"Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control","created":"2026-02-13","cited_by_count":20,"area":"lr"},{"id":"2512.11218","title":"Seeing to Act, Prompting to Specify: A Bayesian Factorization of Vision Language Action Policy","created":"2025-12-12","cited_by_count":18,"area":"mllm"},{"id":"2602.10556","title":"LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer","created":"2026-02-11","cited_by_count":18,"area":"vla"},{"id":"2602.15397","title":"ActionCodec: What Makes for Good Action Tokenizers","created":"2026-02-17","cited_by_count":18,"area":"mllm"},{"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":"2510.01711","title":"Contrastive Representation Regularization for Vision-Language-Action Models","created":"2025-10-02","cited_by_count":17,"area":"mllm"},{"id":"2603.10712","title":"FutureVLA: Joint Visuomotor Prediction for Vision-Language-Action Model","created":"2026-03-11","cited_by_count":16,"area":"vla"},{"id":"2603.19183","title":"Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Models","created":"2026-03-19","cited_by_count":16,"area":"vla"},{"id":"2602.21736","title":"Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild","created":"2026-02-25","cited_by_count":15,"area":"vla"},{"id":"2607.01804","title":"VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon","created":"2026-07-02","cited_by_count":15,"area":"vla"},{"id":"2511.19859","title":"Unifying Perception and Action: A Hybrid-Modality Pipeline with Implicit Visual Chain-of-Thought for Robotic Action Generation","created":"2025-11-25","cited_by_count":14,"area":"lr"},{"id":"2602.14974","title":"DM0: An Embodied-Native Vision-Language-Action Model towards Physical AI","created":"2026-02-16","cited_by_count":12,"area":"vla"},{"id":"2605.30877","title":"Wall-OSS-0.5 Technical Report","created":"2026-05-29","cited_by_count":12,"area":"vla"},{"id":"2601.04575","title":"Scaling Behavior Cloning Improves Causal Reasoning: An Open Model for Real-Time Video Game Playing","created":"2026-01-08","cited_by_count":11,"area":"lr"},{"id":"2602.02459","title":"TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments","created":"2026-02-02","cited_by_count":10,"area":"vla"},{"id":"2510.01068","title":"Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition","created":"2025-10-01","cited_by_count":9,"area":"vla"},{"id":"2510.18337","title":"MoTVLA: A Vision-Language-Action Model with Unified Fast-Slow Reasoning","created":"2025-10-21","cited_by_count":9,"area":"vla"},{"id":"2602.10109","title":"ST4VLA: Spatially Guided Training for Vision-Language-Action Models","created":"2026-02-10","cited_by_count":9,"area":"mllm"},{"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":"2512.08580","title":"Mind to Hand: Purposeful Robotic Control via Embodied Reasoning","created":"2025-12-09","cited_by_count":8,"area":"lr"},{"id":"2604.14125","title":"HiVLA: A Visual-Grounded-Centric Hierarchical Embodied Manipulation System","created":"2026-04-15","cited_by_count":8,"area":"lr"},{"id":"2606.30552","title":"Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision","created":"2026-06-29","cited_by_count":8,"area":"lr"},{"id":"2508.15201","title":"Survey of Vision-Language-Action Models for Embodied Manipulation","created":"2025-08-21","cited_by_count":7,"area":"vla"},{"id":"2509.17053","title":"FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks","created":"2025-09-21","cited_by_count":7,"area":"offlinerl"},{"id":"2511.19878","title":"MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization","created":"2025-11-25","cited_by_count":7,"area":"mllm"},{"id":"2512.24125","title":"Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training","created":"2025-12-30","cited_by_count":7,"area":"lr"},{"id":"2605.10925","title":"PriorVLA: Prior-Preserving Adaptation for Vision-Language-Action Models","created":"2026-05-11","cited_by_count":7,"area":"vla"},{"id":"2606.03784","title":"Revisiting Embodied Chain-of-Thought for Generalizable Robot Manipulation","created":"2026-06-02","cited_by_count":7,"area":"lr"},{"id":"2511.06619","title":"How Do VLAs Effectively Inherit from VLMs?","created":"2025-11-10","cited_by_count":6,"area":"vla"},{"id":"2601.03136","title":"Limited Linguistic Diversity in Embodied AI Datasets","created":"2026-01-06","cited_by_count":6,"area":"vla"},{"id":"2605.05126","title":"ConsisVLA-4D: Advancing Spatiotemporal Consistency in Efficient 3D-Perception and 4D-Reasoning for Robotic Manipulation","created":"2026-05-06","cited_by_count":6,"area":"lr"},{"id":"2607.13429","title":"Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment","created":"2026-07-15","cited_by_count":6,"area":"mllm"},{"id":"2510.05580","title":"MetaVLA: Unified Meta Co-training For Efficient Embodied Adaption","created":"2025-10-07","cited_by_count":5,"area":"vla"},{"id":"2602.20715","title":"IG-RFT: An Interaction-Guided RL Framework for VLA Models in Long-Horizon Robotic Manipulation","created":"2026-02-24","cited_by_count":5,"area":"vla"},{"id":"2604.04502","title":"Veo-Act: Enhancing VLA Policies with Frontier Video Models","created":"2026-04-06","cited_by_count":5,"area":"vla"},{"id":"2605.15735","title":"UAM: A Dual-Stream Perspective on Forgetting in VLA Training","created":"2026-05-15","cited_by_count":5,"area":null},{"id":"2606.12366","title":"APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies","created":"2026-06-10","cited_by_count":5,"area":"mllm"},{"id":"2606.13675","title":"Improving Robotic Generalist Policies via Flow Reversal Steering","created":"2026-06-11","cited_by_count":5,"area":"vla"},{"id":"2608.16885","title":"$\\tau_0$-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation","created":"2026-08-17","cited_by_count":5,"area":"wm"},{"id":"2609.05588","title":"GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation","created":"2026-09-04","cited_by_count":5,"area":"wm"},{"id":"2509.15061","title":"Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue","created":"2025-09-18","cited_by_count":4,"area":null},{"id":"2510.05684","title":"D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI","created":"2025-10-07","cited_by_count":4,"area":null},{"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":"2603.18091","title":"Action Draft and Verify: A Self-Verifying Framework for Vision-Language-Action Model","created":"2026-03-18","cited_by_count":4,"area":"vla"},{"id":"2605.22283","title":"Spatial Memory for Out-of-Vision Manipulation in Vision-Language-Action","created":"2026-05-21","cited_by_count":4,"area":"vla"},{"id":"2606.09337","title":"TORL-VLA: Tactile Guided Online Reinforcement Learning for Contact-Rich Manipulation","created":"2026-06-08","cited_by_count":4,"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":"2603.21341","title":"RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models","created":"2026-03-22","cited_by_count":3,"area":"lr"},{"id":"2606.13578","title":"LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories","created":"2026-06-11","cited_by_count":3,"area":"vla"},{"id":"2607.21670","title":"Ordered Action Tokens for Visuomotor Policy Learning","created":"2026-07-23","cited_by_count":3,"area":null},{"id":"2608.13474","title":"Decoding Task Progress from VLA Representations","created":"2026-08-13","cited_by_count":3,"area":"vla"},{"id":"2608.25864","title":"MA-VLA: Multi-Arm Vision-Language-Action Model for Collaboration and Compositional Generalization","created":"2026-08-26","cited_by_count":3,"area":"vla"},{"id":"2609.29389","title":"Robo-Harness K1: Harnessing Robot-Use Agents via Perception Augmentation","created":"2026-09-24","cited_by_count":3,"area":"mllm"},{"id":"2601.23087","title":"CoLA-Flow Policy: Temporally Coherent Imitation Learning via Continuous Latent Action Flow Matching for Robotic Manipulation","created":"2026-01-30","cited_by_count":2,"area":"diffusion"},{"id":"2603.11426","title":"Grounding Robot Generalization in Training Data via Retrieval-Augmented VLMs","created":"2026-03-12","cited_by_count":2,"area":"rag"},{"id":"2605.24890","title":"QuoVLA: Quotient Space for Vision-Language-Action Models","created":"2026-05-24","cited_by_count":2,"area":"mllm"},{"id":"2605.30484","title":"ELAN4D: Embodiment-Centric 4D Supervision for Vision-Language-Action Models via Plug-and-Play Adaptation","created":"2026-05-28","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":"2608.03563","title":"Unified Visuomotor Targets: Supervising VLAs Beyond Physical Actions","created":"2026-08-04","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":"2609.01596","title":"Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation","created":"2026-09-01","cited_by_count":2,"area":null},{"id":"2609.06079","title":"LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies","created":"2026-09-05","cited_by_count":2,"area":"mllm"},{"id":"2506.17462","title":"General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting","created":"2025-06-20","cited_by_count":1,"area":"lr"}],"next_cursor":"100"}