{"total":56,"rows":[{"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":"2604.07607","title":"EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World","created":"2026-04-08","cited_by_count":57,"area":null},{"id":"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":"2510.01607","title":"ActiveUMI: Robotic Manipulation with Active Perception from Robot-Free Human Demonstrations","created":"2025-10-02","cited_by_count":19,"area":null},{"id":"2510.20813","title":"GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation","created":"2025-10-23","cited_by_count":19,"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":"2512.16842","title":"OPENTOUCH: Bringing Full-Hand Touch to Real-World Interaction","created":"2025-12-18","cited_by_count":15,"area":null},{"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":"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":"2602.06643","title":"Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations","created":"2026-02-06","cited_by_count":12,"area":null},{"id":"2509.09671","title":"Dexplore: Scalable Neural Control for Dexterous Manipulation from Reference-Scoped Exploration","created":"2025-09-11","cited_by_count":11,"area":null},{"id":"2602.13191","title":"CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling","created":"2026-02-13","cited_by_count":11,"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":"2602.22209","title":"WHOLE: World-Grounded Hand-Object Lifted from Egocentric Videos","created":"2026-02-25","cited_by_count":8,"area":null},{"id":"2606.06194","title":"ActiveMimic: Egocentric Video Pretraining with Active Perception","created":"2026-06-04","cited_by_count":6,"area":null},{"id":"2607.24744","title":"Data Pyramid for Embodied Manipulation: A Survey","created":"2026-07-27","cited_by_count":6,"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":"2604.27621","title":"Robot Learning from Human Videos: A Survey","created":"2026-04-30","cited_by_count":5,"area":null},{"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":"2606.18558","title":"MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction","created":"2026-06-17","cited_by_count":5,"area":null},{"id":"2607.01067","title":"Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation","created":"2026-07-01","cited_by_count":5,"area":null},{"id":"2605.12038","title":"OmniHumanoid: Streaming Cross-Embodiment Video Generation with Paired-Free Adaptation","created":"2026-05-12","cited_by_count":4,"area":null},{"id":"2607.14252","title":"MEMORA: Embodied Action Memory from Egocentric Videos for Reasoning and Planning","created":"2026-07-15","cited_by_count":4,"area":null},{"id":"2608.19613","title":"What Matters for Latent Actions in Robot Learning","created":"2026-08-20","cited_by_count":4,"area":null},{"id":"2510.00491","title":"Traj2Action: A Co-Denoising Framework for Trajectory-Guided Human-to-Robot Skill Transfer","created":"2025-10-01","cited_by_count":3,"area":null},{"id":"2606.08107","title":"Ego-Pi: VLA Fine-Tuning for Ego-Centric Human and Robot Data","created":"2026-06-06","cited_by_count":3,"area":null},{"id":"2607.28625","title":"ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine","created":"2026-07-30","cited_by_count":3,"area":null},{"id":"2608.04196","title":"SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation","created":"2026-08-04","cited_by_count":3,"area":null},{"id":"2603.25539","title":"PAWS: Perception of Articulation in the Wild at Scale from Egocentric Videos","created":"2026-03-26","cited_by_count":2,"area":null},{"id":"2603.25726","title":"AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation","created":"2026-03-26","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":"2606.21406","title":"Robot Self-Improvement via Human-Video Dynamics Models","created":"2026-06-19","cited_by_count":2,"area":null},{"id":"2604.21241","title":"CorridorVLA: Explicit Spatial Constraints for Generative Action Heads via Sparse Anchors","created":"2026-04-23","cited_by_count":1,"area":null},{"id":"2605.16797","title":"EgoKit: Towards Unified Low-Cost Egocentric Data Collection with Heterogeneous Devices","created":"2026-05-16","cited_by_count":1,"area":null},{"id":"2606.26428","title":"Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly?","created":"2026-06-24","cited_by_count":1,"area":null},{"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":"2607.15868","title":"EgoExoMoCap: Distributed Ego-Exo Human Motion Capture","created":"2026-07-17","cited_by_count":1,"area":null},{"id":"2607.28394","title":"Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer","created":"2026-07-30","cited_by_count":1,"area":null},{"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":"2606.08495","title":"EgoPriMo: Egocentric Motion Generation for Interactive Humanoid Control","created":"2026-06-07","cited_by_count":0,"area":null},{"id":"2607.19745","title":"EgoRecovery: Acquiring Failure Recovery Ability Through Human Recovery Demonstration","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2608.14028","title":"AdvDex: Learning Dexterous Manipulation from Human Demonstrations via Joint-Aligned Actions and Adversarial Learning","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.18184","title":"Human-Centric Intelligence in the Era of Foundation Models: A Survey","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2608.24877","title":"From Seeing to Acting: Smart Glasses as First-Person Intelligence Platforms","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.06279","title":"IM-ENGINE: Image Editing for Embodied Data Generation","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2609.09119","title":"DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.21461","title":"AtomEgo: Exploring Ego-Robot Integration for Embodied Foundation Model Pretraining","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2609.23492","title":"CE$^4$L: Continual Ego, Exo, and Ego-Exo Learning","created":"2026-09-20","cited_by_count":0,"area":null},{"id":"2609.34182","title":"Unified Visual-Tactile-Action Modeling from Human Demonstrations for Dexterous Manipulation","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.08726","title":"EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.09455","title":"RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.10197","title":"VolCo: Volumetric Contact for High-Fidelity Human Grasp Generation","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.10288","title":"TouchScale: 500 Hours of Human Vision and Touch for Visual-Tactile Learning","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.15769","title":"Hand2Robot: Object-Centric 4D Hand Reconstruction from Human Demonstrations for Robotics","created":"2026-10-11","cited_by_count":0,"area":null},{"id":"2610.17789","title":"DexStitch: Learning and Composing Dexterous Skills from Human Videos via Contact-Aware Robotic Inpainting","created":"2026-10-13","cited_by_count":0,"area":null},{"id":"2610.18711","title":"Steertuning Policies from a Few Human Videos","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}