{"total":55,"rows":[{"id":"2406.09246","title":"OpenVLA: An Open-Source Vision-Language-Action Model","created":"2024-06-13","cited_by_count":2887,"area":"vla"},{"id":"2405.12213","title":"Octo: An Open-Source Generalist Robot Policy","created":"2024-05-20","cited_by_count":1484,"area":"vla"},{"id":"2410.07864","title":"RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation","created":"2024-10-10","cited_by_count":691,"area":"diffusion"},{"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":"2403.01823","title":"RT-H: Action Hierarchies Using Language","created":"2024-03-04","cited_by_count":210,"area":null},{"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":"2309.02473","title":"A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges","created":"2023-09-05","cited_by_count":148,"area":"offlinerl"},{"id":"2405.15223","title":"iVideoGPT: Interactive VideoGPTs are Scalable World Models","created":"2024-05-24","cited_by_count":146,"area":"wm"},{"id":"2408.11812","title":"Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation","created":"2024-08-21","cited_by_count":114,"area":null},{"id":"2411.00785","title":"IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI","created":"2024-10-17","cited_by_count":72,"area":"wm"},{"id":"2311.02198","title":"Imitation Bootstrapped Reinforcement Learning","created":"2023-11-03","cited_by_count":64,"area":"offlinerl"},{"id":"2307.14326","title":"Waypoint-Based Imitation Learning for Robotic Manipulation","created":"2023-07-26","cited_by_count":61,"area":"offlinerl"},{"id":"2603.02115","title":"Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons","created":"2026-03-02","cited_by_count":60,"area":"alignment"},{"id":"2312.14457","title":"QUAR-VLA: Vision-Language-Action Model for Quadruped Robots","created":"2023-12-22","cited_by_count":56,"area":"vla"},{"id":"2410.18907","title":"SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment","created":"2024-10-24","cited_by_count":52,"area":"offlinerl"},{"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":"2408.14037","title":"Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning","created":"2024-08-26","cited_by_count":47,"area":"offlinerl"},{"id":"2410.15959","title":"Diffusion Transformer Policy","created":"2024-10-21","cited_by_count":41,"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":"2410.03132","title":"Autoregressive Action Sequence Learning for Robotic Manipulation","created":"2024-10-04","cited_by_count":27,"area":null},{"id":"2509.26642","title":"MLA: A Multisensory Language-Action Model for Multimodal Understanding and Forecasting in Robotic Manipulation","created":"2025-09-30","cited_by_count":23,"area":"mllm"},{"id":"2504.03515","title":"Dexterous Manipulation through Imitation Learning: A Survey","created":"2025-04-04","cited_by_count":21,"area":"offlinerl"},{"id":"2511.02776","title":"XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations","created":"2025-11-04","cited_by_count":15,"area":"mllm"},{"id":"2511.05275","title":"TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models","created":"2025-11-07","cited_by_count":13,"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":"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":"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":"2403.13281","title":"Waypoint-Based Reinforcement Learning for Robot Manipulation Tasks","created":"2024-03-20","cited_by_count":9,"area":"deeprl"},{"id":"2604.28192","title":"LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning","created":"2026-04-30","cited_by_count":8,"area":null},{"id":"2605.13403","title":"RotVLA: Rotational Latent Action for Vision-Language-Action Model","created":"2026-05-13","cited_by_count":8,"area":"vla"},{"id":"2604.03340","title":"Learning Additively Compositional Latent Actions for Embodied AI","created":"2026-04-03","cited_by_count":7,"area":null},{"id":"2408.04054","title":"PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning","created":"2024-08-07","cited_by_count":6,"area":"offlinerl"},{"id":"2512.22208","title":"Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA","created":"2025-12-22","cited_by_count":5,"area":null},{"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":"2607.11119","title":"VIA: Visual Interface Agent for Robot Control","created":"2026-07-13","cited_by_count":5,"area":"vla"},{"id":"2605.30011","title":"VisualThink-VLA: Visual Intermediate Reasoning for Effective and Low-Latency Vision-Language-Action Policies","created":"2026-05-28","cited_by_count":4,"area":"vla"},{"id":"2608.19613","title":"What Matters for Latent Actions in Robot Learning","created":"2026-08-20","cited_by_count":4,"area":null},{"id":"2404.03382","title":"DIDA: Denoised Imitation Learning based on Domain Adaptation","created":"2024-04-04","cited_by_count":2,"area":"offlinerl"},{"id":"2502.18121","title":"Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze Information and Motion Bottlenecks","created":"2025-02-25","cited_by_count":2,"area":null},{"id":"2607.18580","title":"STeP: Signal Temporal Logic for Precise Specifications for Action Generation with Vision Language Models","created":"2026-07-20","cited_by_count":2,"area":"mllm"},{"id":"2503.01363","title":"FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction","created":"2025-03-03","cited_by_count":1,"area":"offlinerl"},{"id":"2510.22201","title":"ACG: Action Coherence Guidance for Flow-based Vision-Language-Action models","created":"2025-10-25","cited_by_count":1,"area":"vla"},{"id":"2603.14392","title":"WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems","created":"2026-03-15","cited_by_count":1,"area":"wm"},{"id":"2606.07895","title":"TBD-VLA: Temporal Block Diffusion Vision Language Action Model","created":"2026-06-05","cited_by_count":1,"area":"vla"},{"id":"2509.14040","title":"Prompt2Auto: From Motion Prompt to Automated Control via Geometry-Invariant One-Shot Gaussian Process Learning","created":"2025-09-17","cited_by_count":0,"area":"offlinerl"},{"id":"2512.04960","title":"Hybrid Imitation Learning: Teleoperation Augmentation Primitives that Policies Learn to Trigger","created":"2025-12-04","cited_by_count":0,"area":"offlinerl"},{"id":"2601.19406","title":"Sim-and-Human Co-training for Data-Efficient and Scene-Generalizable Bimanual Manipulation","created":"2026-01-27","cited_by_count":0,"area":null},{"id":"2605.30695","title":"Primitive Subspaces Mediate Few-Shot Transfer in VLAs","created":"2026-05-29","cited_by_count":0,"area":"vla"},{"id":"2606.22907","title":"Improving Robotic Imitation Learning via Trajectory Standardization","created":"2026-06-22","cited_by_count":0,"area":"offlinerl"},{"id":"2606.23371","title":"TSD: A Physics-Inspired Trajectory Saliency Detector for Efficient Imitation Learning","created":"2026-06-22","cited_by_count":0,"area":"offlinerl"},{"id":"2609.22085","title":"SeeQ: Training Generalist Value Functions for Long-Horizon Robotic Manipulation","created":"2026-09-18","cited_by_count":0,"area":"vla"},{"id":"2609.26378","title":"MAVP: Map-Aware Visuomotor Policies for Mobile Manipulation","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.34684","title":"Natural State-Prediction Accuracy can Hide Weak Controlled Responsiveness in VLA Readouts","created":"2026-09-28","cited_by_count":0,"area":"vla"}],"next_cursor":null}