{"total":69,"rows":[{"id":"2505.03233","title":"GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data","created":"2025-05-06","cited_by_count":123,"area":"vla"},{"id":"2506.01103","title":"DeepVerse: 4D Autoregressive Video Generation as a World Model","created":"2025-06-01","cited_by_count":40,"area":"wm"},{"id":"2512.21970","title":"StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision","created":"2025-12-26","cited_by_count":18,"area":"vla"},{"id":"2506.20966","title":"Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends","created":"2025-06-26","cited_by_count":17,"area":"mllm"},{"id":"2505.07819","title":"H$^3$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning","created":"2025-05-12","cited_by_count":16,"area":"diffusion"},{"id":"2507.00833","title":"HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning","created":"2025-07-01","cited_by_count":13,"area":"lr"},{"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":"2505.07728","title":"Guiding Data Collection via Factored Scaling Curves","created":"2025-05-12","cited_by_count":12,"area":"offlinerl"},{"id":"2509.18778","title":"VGGT-DP: Generalizable Robot Control via Vision Foundation Models","created":"2025-09-23","cited_by_count":11,"area":"offlinerl"},{"id":"2510.11258","title":"DemoHLM: From One Demonstration to Generalizable Humanoid Loco-Manipulation","created":"2025-10-13","cited_by_count":11,"area":null},{"id":"2512.11797","title":"AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data Synthesis","created":"2025-12-12","cited_by_count":11,"area":"wm"},{"id":"2602.09013","title":"Dexterous Manipulation Policies from RGB Human Videos via 3D Hand-Object Trajectory Reconstruction","created":"2026-02-09","cited_by_count":11,"area":null},{"id":"2602.23408","title":"Demystifying Action Space Design for Robotic Manipulation Policies","created":"2026-02-26","cited_by_count":9,"area":null},{"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":"2510.18316","title":"MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation","created":"2025-10-21","cited_by_count":7,"area":"offlinerl"},{"id":"2508.03944","title":"Constraint-Preserving Data Generation for Visuomotor Policy Learning","created":"2025-08-05","cited_by_count":6,"area":null},{"id":"2508.20840","title":"Learning Primitive Embodied World Models: Towards Scalable Robotic Learning","created":"2025-08-28","cited_by_count":6,"area":"wm"},{"id":"2510.08547","title":"R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation","created":"2025-10-09","cited_by_count":6,"area":null},{"id":"2510.17640","title":"RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation","created":"2025-10-20","cited_by_count":6,"area":"vla"},{"id":"2602.09023","title":"TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation","created":"2026-02-09","cited_by_count":6,"area":"vla"},{"id":"2604.27621","title":"Robot Learning from Human Videos: A Survey","created":"2026-04-30","cited_by_count":5,"area":null},{"id":"2508.17547","title":"LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations","created":"2025-08-24","cited_by_count":4,"area":"synth"},{"id":"2510.20774","title":"FieldGen: From Teleoperated Pre-Manipulation Trajectories to Field-Guided Data Generation","created":"2025-10-23","cited_by_count":4,"area":null},{"id":"2512.16861","title":"ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning","created":"2025-12-18","cited_by_count":4,"area":"offlinerl"},{"id":"2512.19402","title":"Real2Edit2Real: Generating Robotic Demonstrations via a 3D Control Interface","created":"2025-12-22","cited_by_count":4,"area":null},{"id":"2609.27308","title":"EmbodiedSWE: Coding Agents for Long Horizon Dexterous Robotics","created":"2026-09-23","cited_by_count":4,"area":"agents"},{"id":"2510.02738","title":"Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data","created":"2025-10-03","cited_by_count":3,"area":"diffusion"},{"id":"2511.09302","title":"UMIGen: A Unified Framework for Egocentric Point Cloud Generation and Cross-Embodiment Robotic Imitation Learning","created":"2025-11-12","cited_by_count":3,"area":"offlinerl"},{"id":"2603.10451","title":"FAR-Dex: Few-shot Data Augmentation and Adaptive Residual Policy Refinement for Dexterous Manipulation","created":"2026-03-11","cited_by_count":3,"area":null},{"id":"2606.02577","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","created":"2026-06-01","cited_by_count":3,"area":"wm"},{"id":"2607.02431","title":"WorldSample: Closed-loop Real-robot RL with World Modelling","created":"2026-07-02","cited_by_count":3,"area":"wm"},{"id":"2509.06191","title":"Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen)","created":"2025-09-07","cited_by_count":2,"area":null},{"id":"2509.11621","title":"Inference-stage Adaptation-projection Strategy Adapts Diffusion Policy to Cross-manipulators Scenarios","created":"2025-09-15","cited_by_count":2,"area":"diffusion"},{"id":"2510.21121","title":"Generalizable Hierarchical Skill Learning via Object-Centric Representation","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2512.18396","title":"AOMGen: Photoreal, Physics-Consistent Demonstration Generation for Articulated Object Manipulation","created":"2025-12-20","cited_by_count":2,"area":"wm"},{"id":"2601.11269","title":"X-Distill: Cross-Architecture Vision Distillation for Visuomotor Learning","created":"2026-01-16","cited_by_count":2,"area":null},{"id":"2604.10579","title":"AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence","created":"2026-04-12","cited_by_count":2,"area":"offlinerl"},{"id":"2608.01452","title":"DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration","created":"2026-08-02","cited_by_count":2,"area":null},{"id":"2608.29078","title":"DREAM: Deployment-Time Demonstration Generation via Real-to-Sim for Scalable Policy Adaptation","created":"2026-08-29","cited_by_count":2,"area":"vla"},{"id":"2510.24194","title":"Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames","created":"2025-10-28","cited_by_count":1,"area":"offlinerl"},{"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":"2603.15956","title":"ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors","created":"2026-03-16","cited_by_count":1,"area":"diffusion"},{"id":"2604.26509","title":"3D Generation for Embodied AI and Robotic Simulation: A Survey","created":"2026-04-29","cited_by_count":1,"area":null},{"id":"2607.04880","title":"PRISM: Personalized Robotic Dataset Generation via Image-based Scene and Motion Synthesis","created":"2026-07-06","cited_by_count":1,"area":"vla"},{"id":"2609.12316","title":"DATAFARM: Distribution-Aligned Task and Motion Planning for Fine-Tuning Vision-Language-Action Models","created":"2026-09-11","cited_by_count":1,"area":"vla"},{"id":"2609.21229","title":"KnowDemo: Knowledge-Guided Robot Demonstration Generation from Human Videos","created":"2026-09-18","cited_by_count":1,"area":null},{"id":"2510.08572","title":"BLAZER: Bootstrapping LLM-based Manipulation Agents with Zero-Shot Data Generation","created":"2025-10-09","cited_by_count":0,"area":"agents"},{"id":"2603.12769","title":"Easy-IIL: Reducing Human Operational Burden in Interactive Imitation Learning via Assistant Experts","created":"2026-03-13","cited_by_count":0,"area":"offlinerl"},{"id":"2604.05544","title":"Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2604.08664","title":"GenPHRI: Agentic Generative Simulation for Physical Human-Robot Interaction","created":"2026-04-09","cited_by_count":0,"area":"agents"},{"id":"2604.11386","title":"ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation","created":"2026-04-13","cited_by_count":0,"area":"wm"},{"id":"2605.01232","title":"A Principled Approach for Creating High-fidelity Synthetic Demonstrations for Imitation Learning","created":"2026-05-02","cited_by_count":0,"area":"offlinerl"},{"id":"2606.10645","title":"ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splatting","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2606.17040","title":"R2RDreamer: 3D-aware Data Augmentation for Spatially-generalized 2D Manipulation Policies","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2606.20871","title":"Geometric Entropy: When Trajectory Diversity Helps and Hurts in Imitation Learning","created":"2026-06-18","cited_by_count":0,"area":"offlinerl"},{"id":"2606.20999","title":"Inductive Generalization for Robotic Manipulation","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2606.23147","title":"Assistron: Bayesian Shared Autonomy with Off-the-shelf Vision-Language-Action Models","created":"2026-06-22","cited_by_count":0,"area":"vla"},{"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":"2606.31494","title":"Robustness of Robotic Manipulation: Foundations and Frontiers","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2609.09250","title":"No Free Checker: A Survey of Verifiers for Robot Policies","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.12721","title":"Improving Imitation Learning Efficiency for Manipulation through Geometric Prior Pretraining","created":"2026-09-11","cited_by_count":0,"area":"offlinerl"},{"id":"2609.28314","title":"TANDEM: Task and Motion Planning with As-Needed Demonstrations for Efficient Vision-Language-Action Model Fine-tuning","created":"2026-09-23","cited_by_count":0,"area":"vla"},{"id":"2609.30462","title":"Policy-Calibrated DAgger: Offline Calibrated Noise Injection for Imitation Learning","created":"2026-09-24","cited_by_count":0,"area":"diffusion"},{"id":"2609.36915","title":"AeroManip-VLA: Scalable Vision-Language-Action Learning for Aerial Manipulation with RL-Generated Demonstrations","created":"2026-09-29","cited_by_count":0,"area":"vla"},{"id":"2609.37359","title":"Encore: Few-Shot Agentic Discovery of Manipulation Strategies","created":"2026-09-29","cited_by_count":0,"area":"agents"},{"id":"2610.07511","title":"MobileVISTA: Generative Data Augmentation for Pose Generalization in Mobile Manipulation","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.12734","title":"StereoEngine: Scaling Stereo Bimanual Robot Data without Stereo Cameras","created":"2026-10-08","cited_by_count":0,"area":"vla"},{"id":"2610.13945","title":"Splat2Act: From Captured Scenes to Personalized VLA Manipulation","created":"2026-10-09","cited_by_count":0,"area":"vla"},{"id":"2610.17208","title":"DexNinja: Learning Robust Dexterous Cutting Policy with a Real-to-Sim-to-Real Data Engine","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}