{"total":101,"rows":[{"id":"2408.03539","title":"Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes","created":"2024-08-07","cited_by_count":176,"area":"deeprl"},{"id":"2403.03949","title":"Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation","created":"2024-03-06","cited_by_count":144,"area":"offlinerl"},{"id":"2403.03954","title":"3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations","created":"2024-03-06","cited_by_count":116,"area":"diffusion"},{"id":"2312.08782","title":"Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis","created":"2023-12-14","cited_by_count":103,"area":null},{"id":"2407.16677","title":"From Imitation to Refinement -- Residual RL for Precise Assembly","created":"2024-07-23","cited_by_count":90,"area":null},{"id":"2303.10880","title":"Rotating without Seeing: Towards In-hand Dexterity through Touch","created":"2023-03-20","cited_by_count":84,"area":null},{"id":"2309.06440","title":"LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning","created":"2023-09-12","cited_by_count":79,"area":null},{"id":"2404.16823","title":"Learning Visuotactile Skills with Two Multifingered Hands","created":"2024-04-25","cited_by_count":76,"area":null},{"id":"2410.24091","title":"3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing","created":"2024-10-31","cited_by_count":72,"area":null},{"id":"2503.21860","title":"ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning","created":"2025-03-27","cited_by_count":66,"area":null},{"id":"2405.10315","title":"TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction","created":"2024-05-16","cited_by_count":59,"area":null},{"id":"2309.00987","title":"Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation","created":"2023-09-02","cited_by_count":49,"area":null},{"id":"2403.02338","title":"Twisting Lids Off with Two Hands","created":"2024-03-04","cited_by_count":42,"area":null},{"id":"2304.01159","title":"DribbleBot: Dynamic Legged Manipulation in the Wild","created":"2023-04-03","cited_by_count":40,"area":null},{"id":"2403.00564","title":"EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data","created":"2024-03-01","cited_by_count":40,"area":"wm"},{"id":"2409.08273","title":"Hand-Object Interaction Pretraining from Videos","created":"2024-09-12","cited_by_count":39,"area":null},{"id":"2505.24853","title":"DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation","created":"2025-05-30","cited_by_count":37,"area":null},{"id":"2404.15709","title":"ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos","created":"2024-04-24","cited_by_count":35,"area":null},{"id":"2512.13644","title":"World Models for Learning Dexterous Hand-Object Interactions from Human Videos","created":"2025-12-15","cited_by_count":31,"area":"wm"},{"id":"2304.04150","title":"RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning","created":"2023-04-09","cited_by_count":30,"area":null},{"id":"2305.03942","title":"HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation","created":"2023-05-06","cited_by_count":29,"area":null},{"id":"2402.14795","title":"CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation","created":"2024-02-22","cited_by_count":28,"area":"offlinerl"},{"id":"2407.18902","title":"Lessons from Learning to Spin \"Pens\"","created":"2024-07-26","cited_by_count":26,"area":null},{"id":"2410.17488","title":"GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy","created":"2024-10-23","cited_by_count":25,"area":"diffusion"},{"id":"2404.17521","title":"Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations","created":"2024-04-26","cited_by_count":24,"area":null},{"id":"2410.05434","title":"Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback","created":"2024-10-07","cited_by_count":24,"area":"agents"},{"id":"2405.01402","title":"Learning Force Control for Legged Manipulation","created":"2024-05-02","cited_by_count":21,"area":null},{"id":"2405.07391","title":"AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch","created":"2024-05-12","cited_by_count":21,"area":null},{"id":"2501.14400","title":"SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation","created":"2025-01-24","cited_by_count":21,"area":"offlinerl"},{"id":"2405.07162","title":"Learning Reward for Robot Skills Using Large Language Models via Self-Alignment","created":"2024-05-12","cited_by_count":20,"area":null},{"id":"2504.18829","title":"Dexonomy: Synthesizing All Dexterous Grasp Types in a Grasp Taxonomy","created":"2025-04-26","cited_by_count":20,"area":null},{"id":"2409.05864","title":"Neural MP: A Generalist Neural Motion Planner","created":"2024-09-09","cited_by_count":19,"area":null},{"id":"2509.04441","title":"DEXOP: A Device for Robotic Transfer of Dexterous Human Manipulation","created":"2025-09-04","cited_by_count":19,"area":null},{"id":"2310.19797","title":"DEFT: Dexterous Fine-Tuning for Real-World Hand Policies","created":"2023-10-30","cited_by_count":17,"area":null},{"id":"2502.09614","title":"DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References","created":"2025-02-13","cited_by_count":17,"area":"deeprl"},{"id":"2404.09080","title":"Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications","created":"2024-04-13","cited_by_count":15,"area":"deeprl"},{"id":"2407.07885","title":"Learning In-Hand Translation Using Tactile Skin With Shear and Normal Force Sensing","created":"2024-07-10","cited_by_count":15,"area":null},{"id":"2602.16863","title":"SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation","created":"2026-02-18","cited_by_count":15,"area":null},{"id":"2401.12496","title":"DexTouch: Learning to Seek and Manipulate Objects with Tactile Dexterity","created":"2024-01-23","cited_by_count":12,"area":null},{"id":"2404.07988","title":"QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer","created":"2024-04-11","cited_by_count":12,"area":null},{"id":"2412.01770","title":"Robot Learning with Super-Linear Scaling","created":"2024-12-02","cited_by_count":11,"area":null},{"id":"2503.03045","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","created":"2025-03-04","cited_by_count":11,"area":null},{"id":"2501.07468","title":"From Screens to Scenes: A Survey of Embodied AI in Healthcare","created":"2025-01-13","cited_by_count":10,"area":null},{"id":"2510.08475","title":"DexMan: Learning Bimanual Dexterous Manipulation from Human and Generated Videos","created":"2025-10-09","cited_by_count":10,"area":null},{"id":"2510.08556","title":"DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation via Joint-Wise Neural Dynamics Model","created":"2025-10-09","cited_by_count":9,"area":null},{"id":"2512.02011","title":"Learning Dexterous Manipulation Skills from Imperfect Simulations","created":"2025-12-01","cited_by_count":9,"area":"deeprl"},{"id":"2412.02676","title":"Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation","created":"2024-12-03","cited_by_count":8,"area":"diffusion"},{"id":"2501.05439","title":"From Simple to Complex Skills: The Case of In-Hand Object Reorientation","created":"2025-01-09","cited_by_count":8,"area":null},{"id":"2508.15755","title":"Neural Robot Dynamics","created":"2025-08-21","cited_by_count":8,"area":null},{"id":"2407.16186","title":"Automatic Environment Shaping is the Next Frontier in RL","created":"2024-07-23","cited_by_count":7,"area":null},{"id":"2412.13662","title":"When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning?","created":"2024-12-18","cited_by_count":7,"area":"deeprl"},{"id":"2507.19975","title":"A roadmap for AI in robotics","created":"2025-07-26","cited_by_count":7,"area":null},{"id":"2508.12252","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","created":"2025-08-17","cited_by_count":7,"area":"deeprl"},{"id":"2407.03245","title":"TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach","created":"2024-07-03","cited_by_count":5,"area":null},{"id":"2505.10646","title":"Accelerating Visual-Policy Learning through Parallel Differentiable Simulation","created":"2025-05-15","cited_by_count":5,"area":"deeprl"},{"id":"2505.12278","title":"Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning","created":"2025-05-18","cited_by_count":5,"area":"deeprl"},{"id":"2509.16434","title":"End-to-end RL Improves Dexterous Grasping Policies","created":"2025-09-19","cited_by_count":5,"area":null},{"id":"2510.21609","title":"Enhancing Tactile-based Reinforcement Learning for Robotic Control","created":"2025-10-24","cited_by_count":5,"area":"deeprl"},{"id":"2403.12421","title":"Dexterous Functional Pre-Grasp Manipulation with Diffusion Policy","created":"2024-03-19","cited_by_count":4,"area":"diffusion"},{"id":"2607.11874","title":"A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation","created":"2026-07-13","cited_by_count":4,"area":"deeprl"},{"id":"2403.10187","title":"Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects","created":"2024-03-15","cited_by_count":3,"area":"deeprl"},{"id":"2408.12674","title":"One-shot Video Imitation via Parameterized Symbolic Abstraction Graphs","created":"2024-08-22","cited_by_count":3,"area":null},{"id":"2504.13179","title":"ViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation","created":"2025-04-17","cited_by_count":3,"area":null},{"id":"2505.13253","title":"Composing Dextrous Grasping and In-hand Manipulation via Scoring with a Reinforcement Learning Critic","created":"2025-05-19","cited_by_count":3,"area":"deeprl"},{"id":"2601.18923","title":"DeFM: Learning Foundation Representations from Depth for Robotics","created":"2026-01-26","cited_by_count":3,"area":null},{"id":"2606.08610","title":"HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning","created":"2026-06-07","cited_by_count":3,"area":"agents"},{"id":"2411.13148","title":"Learning Time-Optimal and Speed-Adjustable Tactile In-Hand Manipulation","created":"2024-11-20","cited_by_count":2,"area":"deeprl"},{"id":"2412.15587","title":"Dexterous Manipulation Based on Prior Dexterous Grasp Pose Knowledge","created":"2024-12-20","cited_by_count":2,"area":"deeprl"},{"id":"2502.15442","title":"Learning Long-Horizon Robot Manipulation Skills via Privileged Action","created":"2025-02-21","cited_by_count":2,"area":"deeprl"},{"id":"2504.20520","title":"PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations","created":"2025-04-29","cited_by_count":2,"area":"alignment"},{"id":"2505.09546","title":"Distilling Realizable Students from Unrealizable Teachers","created":"2025-05-14","cited_by_count":2,"area":"distill"},{"id":"2507.06822","title":"Hierarchical Reinforcement Learning for Articulated Tool Manipulation with Multifingered Hand","created":"2025-07-09","cited_by_count":2,"area":"deeprl"},{"id":"2512.00324","title":"MILE: A Mechanically Isomorphic Hand Exoskeleton and Visuotactile Robotic Hand for Data Collection in Dexterous Manipulation","created":"2025-11-29","cited_by_count":2,"area":null},{"id":"2604.11138","title":"ViserDex: Visual Sim-to-Real for Robust Dexterous In-hand Reorientation","created":"2026-04-13","cited_by_count":2,"area":null},{"id":"2607.28198","title":"UniCross: Unified Cross-Skill Dexterous Manipulation Synthesis","created":"2026-07-30","cited_by_count":2,"area":null},{"id":"2608.19182","title":"ADEPT: Accelerating Dexterity via Pre-Training and Post-Training using Reinforcement Learning","created":"2026-08-19","cited_by_count":2,"area":"deeprl"},{"id":"2410.07403","title":"On the Feasibility of A Mixed-Method Approach for Solving Long Horizon Task-Oriented Dexterous Manipulation","created":"2024-10-09","cited_by_count":1,"area":"deeprl"},{"id":"2509.07445","title":"Text2Touch: Tactile In-Hand Manipulation with LLM-Designed Reward Functions","created":"2025-09-09","cited_by_count":1,"area":null},{"id":"2510.07030","title":"Diffusing Trajectory Optimization Problems for Recovery During Multi-Finger Manipulation","created":"2025-10-08","cited_by_count":1,"area":"diffusion"},{"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":"2606.32027","title":"Freeform Preference Learning for Robotic Manipulation","created":"2026-06-30","cited_by_count":1,"area":null},{"id":"2607.12105","title":"Robust In-Hand Manipulation via Priors in Reinforcement Learning and Mechanical Design","created":"2026-07-13","cited_by_count":1,"area":"deeprl"},{"id":"2608.01851","title":"Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills","created":"2026-08-03","cited_by_count":1,"area":null},{"id":"2609.14878","title":"Real-World Reinforcement Learning with MPC Scaffolding for Dexterous Manipulation","created":"2026-09-14","cited_by_count":1,"area":"deeprl"},{"id":"2307.12983","title":"Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation","created":"2023-07-24","cited_by_count":0,"area":null},{"id":"2503.02738","title":"Variable-Friction In-Hand Manipulation for Arbitrary Objects via Diffusion-Based Imitation Learning","created":"2025-03-04","cited_by_count":0,"area":"offlinerl"},{"id":"2504.21585","title":"Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement Learning","created":"2025-04-30","cited_by_count":0,"area":"deeprl"},{"id":"2508.01082","title":"Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations","created":"2025-08-01","cited_by_count":0,"area":null},{"id":"2603.12120","title":"CRAFT: A Tendon-Driven Hand with Hybrid Hard-Soft Compliance","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2605.13117","title":"SECOND-Grasp: Semantic Contact-guided Dexterous Grasping","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.18727","title":"DexHoldem: Playing Texas Hold'em with Dexterous Embodied System","created":"2026-05-18","cited_by_count":0,"area":"agents"},{"id":"2605.23847","title":"Instrumentation for Imitation Learning: Enhancing Training Datasets for Clothes Hanger Insertion","created":"2026-05-22","cited_by_count":0,"area":"offlinerl"},{"id":"2605.28812","title":"Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2606.21788","title":"Rotation-Aware Point-Cloud Embeddings for Vision-Based In-Hand Reorientation","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2606.24450","title":"NoContactNoWorries: Estimating Contact through Vision and Proprioception for In-Hand Dexterous Manipulation","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2608.15917","title":"Pre-training Visual Dexterity in Simulation","created":"2026-08-16","cited_by_count":0,"area":null},{"id":"2609.08493","title":"AURORA: Active Uncertainty-Driven Re-Orientation for In-Hand Reconstruction","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.32064","title":"Grasp2Twist: Learning Bimanual Dexterous Jar Opening by Reinforcement Learning","created":"2026-09-25","cited_by_count":0,"area":"deeprl"},{"id":"2609.34018","title":"Estimate, Don't Imitate: Reusing Differentiable State-Based Policies for Visuomotor Control","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.35715","title":"X-Reset: Scaling Object-Centric Reinforcement Learning via Cross-Embodiment Resets","created":"2026-09-28","cited_by_count":0,"area":"deeprl"}],"next_cursor":"100"}