{"total":45,"rows":[{"id":"2504.16054","title":"$\\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization","created":"2025-04-22","cited_by_count":1761,"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":"2405.14093","title":"A Survey on Vision-Language-Action Models for Embodied AI","created":"2024-05-23","cited_by_count":279,"area":"vla"},{"id":"2507.04447","title":"DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge","created":"2025-07-06","cited_by_count":213,"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":"2406.04339","title":"RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation","created":"2024-06-06","cited_by_count":103,"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":"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":"2507.01016","title":"VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers","created":"2025-07-01","cited_by_count":70,"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":"2503.03734","title":"OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction","created":"2025-03-05","cited_by_count":54,"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":"2302.12610","title":"A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter","created":"2023-02-24","cited_by_count":34,"area":"vla"},{"id":"2509.01944","title":"AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving","created":"2025-09-02","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":"2505.15660","title":"Exploring the Limits of Vision-Language-Action Manipulations in Cross-task Generalization","created":"2025-05-21","cited_by_count":33,"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":"2607.15330","title":"Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories","created":"2026-07-16","cited_by_count":29,"area":"vla"},{"id":"2508.02062","title":"RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models","created":"2025-08-04","cited_by_count":22,"area":"vla"},{"id":"2512.14666","title":"EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models","created":"2025-12-16","cited_by_count":22,"area":"vla"},{"id":"2601.02295","title":"CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding","created":"2026-01-05","cited_by_count":14,"area":"vla"},{"id":"2601.06748","title":"On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning","created":"2026-01-11","cited_by_count":14,"area":"vla"},{"id":"2603.25406","title":"MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and Generation","created":"2026-03-26","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":"2602.09765","title":"NavDreamer: Video Models as Zero-Shot 3D Navigators","created":"2026-02-10","cited_by_count":9,"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":"2603.10126","title":"AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models","created":"2026-03-10","cited_by_count":6,"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":"2505.21567","title":"EaqVLA: Encoding-aligned Quantization for Vision-Language-Action Models","created":"2025-05-27","cited_by_count":3,"area":"vla"},{"id":"2606.10568","title":"VeriSpace: Spatially Grounded Action Verification for Vision-Language-Action Models","created":"2026-06-09","cited_by_count":3,"area":"vla"},{"id":"2606.19998","title":"Tri-Info: Generalizable, Interpretable Failure Prediction for VLA Models via Information Theory","created":"2026-06-18","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":"2609.05533","title":"SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models","created":"2026-09-02","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":"2605.07474","title":"ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations","created":"2026-05-08","cited_by_count":1,"area":"vla"},{"id":"2605.11750","title":"DreamAvoid: Critical-Phase Test-Time Dreaming to Avoid Failures in VLA Policies","created":"2026-05-12","cited_by_count":1,"area":"vla"},{"id":"2606.25215","title":"Reflective VLA: In-Context Action Consequences Make VLAs Generalize","created":"2026-06-23","cited_by_count":1,"area":"vla"},{"id":"2607.14280","title":"DiMaS: Distribution Matching for Steering Vision-Language-Action Models","created":"2026-07-15","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":"2608.11363","title":"Adaptation of Generalist Robot Policies with Minimal Data","created":"2026-08-11","cited_by_count":1,"area":"vla"},{"id":"2609.07581","title":"ICI-VLA: In-Context Imitation with Spatiotemporally Aligned Demonstrations for Vision-Language-Action Models","created":"2026-09-07","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":"2609.39794","title":"Inline Memory Meets Reusable Skills: Memory-centric Framework for Vision-Language-Action Model","created":"2026-09-30","cited_by_count":0,"area":"vla"},{"id":"2610.05492","title":"When Does Retrieval Help? A Study of In-Context Adaptation in Vision-Language-Action Models","created":"2026-10-04","cited_by_count":0,"area":"vla"}],"next_cursor":null}