{"total":124,"rows":[{"id":"2412.10345","title":"TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies","created":"2024-12-13","cited_by_count":304,"area":"vla"},{"id":"2504.02792","title":"Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets","created":"2025-04-03","cited_by_count":240,"area":"wm"},{"id":"2410.24221","title":"EgoMimic: Scaling Imitation Learning via Egocentric Video","created":"2024-10-31","cited_by_count":175,"area":"offlinerl"},{"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":"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":"2601.03782","title":"PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation","created":"2026-01-07","cited_by_count":82,"area":"wm"},{"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":"2504.14717","title":"TAPIP3D: Tracking Any Point in Persistent 3D Geometry","created":"2025-04-20","cited_by_count":69,"area":null},{"id":"2604.07607","title":"EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World","created":"2026-04-08","cited_by_count":57,"area":null},{"id":"2506.22242","title":"4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration","created":"2025-06-27","cited_by_count":56,"area":"vla"},{"id":"2509.19012","title":"Pure Vision Language Action (VLA) Models: A Comprehensive Survey","created":"2025-09-23","cited_by_count":49,"area":"mllm"},{"id":"2412.08261","title":"FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model","created":"2024-12-11","cited_by_count":42,"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":"2504.08438","title":"Diffusion Models for Robotic Manipulation: A Survey","created":"2025-04-11","cited_by_count":41,"area":"diffusion"},{"id":"2510.08568","title":"NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos","created":"2025-10-09","cited_by_count":40,"area":null},{"id":"2407.12957","title":"R+X: Retrieval and Execution from Everyday Human Videos","created":"2024-07-17","cited_by_count":38,"area":null},{"id":"2508.13998","title":"Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation","created":"2025-08-19","cited_by_count":38,"area":"lr"},{"id":"2506.06199","title":"3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model","created":"2025-06-06","cited_by_count":37,"area":"wm"},{"id":"2505.08548","title":"From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation","created":"2025-05-13","cited_by_count":35,"area":"lr"},{"id":"2510.13802","title":"Trace Anything: Representing Any Video in 4D via Trajectory Fields","created":"2025-10-15","cited_by_count":33,"area":null},{"id":"2511.09484","title":"SPIDER: Scalable Physics-Informed Dexterous Retargeting","created":"2025-11-12","cited_by_count":32,"area":null},{"id":"2506.16685","title":"Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections","created":"2025-06-20","cited_by_count":29,"area":null},{"id":"2509.19626","title":"EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data","created":"2025-09-23","cited_by_count":29,"area":"offlinerl"},{"id":"2502.13142","title":"Pre-training Auto-regressive Robotic Models with 4D Representations","created":"2025-02-18","cited_by_count":27,"area":null},{"id":"2511.07732","title":"ViPRA: Video Prediction for Robot Actions","created":"2025-11-11","cited_by_count":26,"area":null},{"id":"2511.15704","title":"In-N-On: Scaling Egocentric Manipulation with in-the-wild and on-task Data","created":"2025-11-19","cited_by_count":26,"area":null},{"id":"2512.24766","title":"Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow","created":"2025-12-31","cited_by_count":25,"area":null},{"id":"2504.03515","title":"Dexterous Manipulation through Imitation Learning: A Survey","created":"2025-04-04","cited_by_count":21,"area":"offlinerl"},{"id":"2511.07416","title":"Robot Learning from a Physical World Model","created":"2025-11-10","cited_by_count":20,"area":"wm"},{"id":"2512.23541","title":"Act2Goal: From World Model To General Goal-conditioned Policy","created":"2025-12-29","cited_by_count":20,"area":"wm"},{"id":"2506.20668","title":"DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy","created":"2025-06-25","cited_by_count":19,"area":"diffusion"},{"id":"2511.16661","title":"Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations","created":"2025-11-20","cited_by_count":19,"area":null},{"id":"2412.14401","title":"The One RING: a Robotic Indoor Navigation Generalist","created":"2024-12-18","cited_by_count":16,"area":null},{"id":"2605.24934","title":"HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos","created":"2026-05-24","cited_by_count":16,"area":null},{"id":"2412.13187","title":"HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction","created":"2024-12-17","cited_by_count":15,"area":"mllm"},{"id":"2511.21690","title":"TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos","created":"2025-11-26","cited_by_count":15,"area":"wm"},{"id":"2512.17253","title":"Mitty: Diffusion-based Human-to-Robot Video Generation","created":"2025-12-19","cited_by_count":14,"area":"diffusion"},{"id":"2602.03668","title":"MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction","created":"2026-02-03","cited_by_count":14,"area":"vla"},{"id":"2602.15828","title":"Dex4D: Task-Agnostic Point Track Policy for Zero-Shot Dexterous Manipulation","created":"2026-02-17","cited_by_count":14,"area":null},{"id":"2511.16175","title":"Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight","created":"2025-11-20","cited_by_count":13,"area":"vla"},{"id":"2606.19333","title":"Do as I Do: Dexterous Manipulation Data from Everyday Human Videos","created":"2026-06-17","cited_by_count":13,"area":null},{"id":"2502.13078","title":"L4P: Towards Unified Low-Level 4D Vision Perception","created":"2025-02-18","cited_by_count":12,"area":null},{"id":"2512.04537","title":"X-Humanoid: Robotize Human Videos to Generate Humanoid Videos at Scale","created":"2025-12-04","cited_by_count":12,"area":null},{"id":"2507.06224","title":"EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow","created":"2025-07-08","cited_by_count":11,"area":"offlinerl"},{"id":"2509.21592","title":"What Happens Next? Anticipating Future Motion by Generating Point Trajectories","created":"2025-09-25","cited_by_count":10,"area":null},{"id":"2509.18757","title":"MV-UMI: A Scalable Multi-View Interface for Cross-Embodiment Learning","created":"2025-09-23","cited_by_count":9,"area":"offlinerl"},{"id":"2512.09406","title":"H2R-Grounder: A Paired-Data-Free Paradigm for Translating Human Interaction Videos into Physically Grounded Robot Videos","created":"2025-12-10","cited_by_count":9,"area":null},{"id":"2512.16907","title":"Flowing from Reasoning to Motion: Learning 3D Hand Trajectory Prediction from Egocentric Human Interaction Videos","created":"2025-12-18","cited_by_count":8,"area":null},{"id":"2602.20119","title":"NovaPlan: Zero-Shot Long-Horizon Manipulation via Closed-Loop Video Language Planning","created":"2026-02-23","cited_by_count":8,"area":null},{"id":"2604.03181","title":"SpatialVAM:Spatial-Aware Multi-View Video Diffusion as a Data-Efficient Robot Policy","created":"2026-04-03","cited_by_count":8,"area":"diffusion"},{"id":"2605.22882","title":"GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation","created":"2026-05-20","cited_by_count":8,"area":"wm"},{"id":"2505.01288","title":"ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow","created":"2025-05-02","cited_by_count":6,"area":null},{"id":"2603.10052","title":"OmniGuide: Universal Guidance Fields for Enhancing Generalist Robot Policies","created":"2026-03-09","cited_by_count":6,"area":"vla"},{"id":"2607.24744","title":"Data Pyramid for Embodied Manipulation: A Survey","created":"2026-07-27","cited_by_count":6,"area":null},{"id":"2608.27550","title":"Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models","created":"2026-08-27","cited_by_count":6,"area":"vla"},{"id":"2601.05237","title":"ObjectForesight: Predicting Future 3D Object Trajectories from Human Videos","created":"2026-01-08","cited_by_count":5,"area":null},{"id":"2602.23893","title":"AoE: Always-on Egocentric Human Video Collection for Embodied AI","created":"2026-02-27","cited_by_count":5,"area":null},{"id":"2604.01015","title":"Forecasting Motion in the Wild","created":"2026-04-01","cited_by_count":5,"area":null},{"id":"2605.12587","title":"TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking","created":"2026-05-12","cited_by_count":5,"area":"diffusion"},{"id":"2606.11628","title":"LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition","created":"2026-06-10","cited_by_count":5,"area":null},{"id":"2606.17054","title":"Human Universal Grasping","created":"2026-06-15","cited_by_count":5,"area":null},{"id":"2606.18558","title":"MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction","created":"2026-06-17","cited_by_count":5,"area":null},{"id":"2608.03727","title":"Track4Action: Distilling World-Centric 3D Tracker into Vision-Language-Action Policies","created":"2026-08-04","cited_by_count":5,"area":"vla"},{"id":"2503.19953","title":"Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals","created":"2025-03-25","cited_by_count":4,"area":null},{"id":"2504.05225","title":"Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation","created":"2025-04-07","cited_by_count":4,"area":"mllm"},{"id":"2512.02006","title":"MV-TAP: Tracking Any Point in Multi-View Videos","created":"2025-12-01","cited_by_count":4,"area":null},{"id":"2602.09017","title":"Contact-Anchored Policies: Contact Conditioning Creates Strong Robot Utility Models","created":"2026-02-09","cited_by_count":4,"area":null},{"id":"2602.12734","title":"Scaling Single Human Demonstrations for Imitation Learning using Generative Foundational Models","created":"2026-02-13","cited_by_count":4,"area":"offlinerl"},{"id":"2608.11605","title":"Foresight Without Seeing: Latent Futures for World Action Models","created":"2026-08-12","cited_by_count":4,"area":"wm"},{"id":"2504.01959","title":"Slot-Level Robotic Placement via Visual Imitation from Single Human Video","created":"2025-04-02","cited_by_count":3,"area":null},{"id":"2507.06233","title":"AnthroTAP: Learning Point Tracking with Real-World Motion","created":"2025-07-08","cited_by_count":3,"area":null},{"id":"2509.18043","title":"Prepare Before You Act: Learning From Humans to Rearrange Initial States","created":"2025-09-22","cited_by_count":3,"area":"offlinerl"},{"id":"2510.01433","title":"AFFORD2ACT: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation","created":"2025-10-01","cited_by_count":3,"area":null},{"id":"2512.20052","title":"Learning Skills from Action-Free Videos","created":"2025-12-23","cited_by_count":3,"area":null},{"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":"2603.13788","title":"ST-VLA: Enabling 4D-Aware Spatiotemporal Understanding for General Robot Manipulation","created":"2026-03-14","cited_by_count":3,"area":"vla"},{"id":"2606.13769","title":"$\\mu_0$: A Scalable 3D Interaction-Trace World Model","created":"2026-06-11","cited_by_count":3,"area":"wm"},{"id":"2506.21057","title":"Knowledge-Driven Imitation Learning: Enabling Generalization Across Diverse Conditions","created":"2025-06-26","cited_by_count":2,"area":"offlinerl"},{"id":"2510.11107","title":"MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps","created":"2025-10-13","cited_by_count":2,"area":null},{"id":"2602.13197","title":"Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos","created":"2026-02-13","cited_by_count":2,"area":null},{"id":"2603.03278","title":"Tether: Autonomous Functional Play with Correspondence-Driven Trajectory Warping","created":"2026-03-03","cited_by_count":2,"area":null},{"id":"2603.11984","title":"Ada3Drift: Adaptive Training-Time Drifting for One-Step 3D Visuomotor Robotic Manipulation","created":"2026-03-12","cited_by_count":2,"area":null},{"id":"2604.09527","title":"Envisioning the Future, One Step at a Time","created":"2026-04-10","cited_by_count":2,"area":null},{"id":"2606.06627","title":"What Matters When Cotraining Robot Manipulation Policies on Everyday Human Videos?","created":"2026-06-04","cited_by_count":2,"area":null},{"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":"2606.10614","title":"Dexterous Point Policy: Learning Point-based Dexterous Hand Policies from Human Demonstrations","created":"2026-06-09","cited_by_count":2,"area":null},{"id":"2608.24101","title":"TrAct: Bridging Robot Control and Visual Prediction with Visual Tracks","created":"2026-08-25","cited_by_count":2,"area":"wm"},{"id":"2512.22688","title":"Autoregressive Flow Matching for Motion Prediction","created":"2025-12-27","cited_by_count":1,"area":"diffusion"},{"id":"2601.03667","title":"TRec: Learning Hand-Object Interactions through 2D Point Track Motion","created":"2026-01-07","cited_by_count":1,"area":null},{"id":"2603.12553","title":"Beyond Dense Futures: World Models as Structured Planners for Robotic Manipulation","created":"2026-03-13","cited_by_count":1,"area":"wm"},{"id":"2603.22606","title":"TrajLoom: Dense Future Trajectory Generation from Video","created":"2026-03-23","cited_by_count":1,"area":null},{"id":"2604.11737","title":"Learning Long-term Motion Embeddings for Efficient Kinematics Generation","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2606.03490","title":"TrAction: Action Recognition with Sparse Trajectories","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2606.11568","title":"4DP-QA: Scalable QA for 4D Perception in Vision Language Models","created":"2026-06-10","cited_by_count":1,"area":"mllm"},{"id":"2606.22113","title":"KITE: Decoupling Kinematics and Interaction for Zero-Shot Cross-Embodiment Manipulation","created":"2026-06-20","cited_by_count":1,"area":null},{"id":"2606.23090","title":"Flow as Flow: Modeling Robot Velocity Fields as Probability Velocity Fields for Flow-Based Object Manipulation","created":"2026-06-22","cited_by_count":1,"area":"diffusion"},{"id":"2606.28133","title":"Translation as a Bridging Action: Transferring Manipulation Skills from Humans to Robots","created":"2026-06-26","cited_by_count":1,"area":null},{"id":"2607.04652","title":"KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation","created":"2026-07-06","cited_by_count":1,"area":"wm"},{"id":"2607.16192","title":"MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction","created":"2026-07-17","cited_by_count":1,"area":null},{"id":"2608.18433","title":"The Embodiment Gap in Robot Foundation Models","created":"2026-08-19","cited_by_count":1,"area":"vla"}],"next_cursor":"100"}