{"total":142,"rows":[{"id":"2102.02915","title":"How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned","created":"2021-02-04","cited_by_count":213,"area":null},{"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":"2509.09674","title":"SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning","created":"2025-09-11","cited_by_count":151,"area":"vla"},{"id":"2109.08273","title":"ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning","created":"2021-09-17","cited_by_count":108,"area":"offlinerl"},{"id":"2211.09423","title":"DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation","created":"2022-11-17","cited_by_count":84,"area":null},{"id":"2411.13587","title":"Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics","created":"2024-11-18","cited_by_count":73,"area":"vla"},{"id":"2508.13073","title":"Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey","created":"2025-08-18","cited_by_count":69,"area":"vla"},{"id":"2212.03858","title":"See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation","created":"2022-12-07","cited_by_count":68,"area":null},{"id":"2402.02500","title":"Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning","created":"2024-02-04","cited_by_count":45,"area":null},{"id":"2103.10534","title":"Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation","created":"2021-03-18","cited_by_count":44,"area":null},{"id":"2303.08268","title":"Chat with the Environment: Interactive Multimodal Perception Using Large Language Models","created":"2023-03-14","cited_by_count":43,"area":null},{"id":"2502.16707","title":"Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation","created":"2025-02-23","cited_by_count":42,"area":"mllm"},{"id":"2309.01087","title":"Stabilize to Act: Learning to Coordinate for Bimanual Manipulation","created":"2023-09-03","cited_by_count":39,"area":null},{"id":"2009.13649","title":"The EMPATHIC Framework for Task Learning from Implicit Human Feedback","created":"2020-09-28","cited_by_count":38,"area":"alignment"},{"id":"2408.11537","title":"A Survey of Embodied Learning for Object-Centric Robotic Manipulation","created":"2024-08-21","cited_by_count":35,"area":null},{"id":"2008.07682","title":"Residual Learning from Demonstration: Adapting DMPs for Contact-rich Manipulation","created":"2020-08-18","cited_by_count":28,"area":"offlinerl"},{"id":"2511.09516","title":"MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation","created":"2025-11-12","cited_by_count":28,"area":"vla"},{"id":"2202.07152","title":"L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning","created":"2022-02-15","cited_by_count":27,"area":null},{"id":"2410.03132","title":"Autoregressive Action Sequence Learning for Robotic Manipulation","created":"2024-10-04","cited_by_count":27,"area":null},{"id":"2208.00596","title":"A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies","created":"2022-08-01","cited_by_count":26,"area":"offlinerl"},{"id":"2305.04701","title":"Differentially Private Attention Computation","created":"2023-05-08","cited_by_count":25,"area":null},{"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":"2204.13661","title":"Toward Compositional Generalization in Object-Oriented World Modeling","created":"2022-04-28","cited_by_count":22,"area":"wm"},{"id":"2106.14070","title":"Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks","created":"2021-06-26","cited_by_count":18,"area":null},{"id":"2210.06479","title":"Real World Offline Reinforcement Learning with Realistic Data Source","created":"2022-10-12","cited_by_count":17,"area":"offlinerl"},{"id":"2304.09831","title":"FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing","created":"2023-04-19","cited_by_count":17,"area":"driving"},{"id":"2106.02972","title":"Zero-shot Task Adaptation using Natural Language","created":"2021-06-05","cited_by_count":15,"area":"offlinerl"},{"id":"2302.13137","title":"A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors","created":"2023-02-25","cited_by_count":15,"area":null},{"id":"2512.17661","title":"Vidarc: Embodied Video Diffusion Model for Closed-loop Control","created":"2025-12-19","cited_by_count":15,"area":"diffusion"},{"id":"2404.05249","title":"SAFE-GIL: SAFEty Guided Imitation Learning for Robotic Systems","created":"2024-04-08","cited_by_count":14,"area":"offlinerl"},{"id":"2506.13498","title":"A Survey on Imitation Learning for Contact-Rich Tasks in Robotics","created":"2025-06-16","cited_by_count":14,"area":"offlinerl"},{"id":"2506.13762","title":"Touch begins where vision ends: Generalizable policies for contact-rich manipulation","created":"2025-06-16","cited_by_count":14,"area":"offlinerl"},{"id":"2406.14990","title":"Learning Variable Compliance Control From a Few Demonstrations for Bimanual Robot with Haptic Feedback Teleoperation System","created":"2024-06-21","cited_by_count":13,"area":null},{"id":"2306.16857","title":"ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch","created":"2023-06-29","cited_by_count":11,"area":null},{"id":"2402.07127","title":"Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation","created":"2024-02-11","cited_by_count":11,"area":null},{"id":"2507.08416","title":"InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes","created":"2025-07-11","cited_by_count":11,"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":"2110.07911","title":"Learning to Infer Kinematic Hierarchies for Novel Object Instances","created":"2021-10-15","cited_by_count":10,"area":null},{"id":"2210.12806","title":"Active Exploration for Robotic Manipulation","created":"2022-10-23","cited_by_count":10,"area":null},{"id":"2404.02018","title":"Large Language Models for Orchestrating Bimanual Robots","created":"2024-04-02","cited_by_count":10,"area":null},{"id":"2509.14138","title":"SeqVLA: Sequential Task Execution for Long-Horizon Manipulation with Completion-Aware Vision-Language-Action Model","created":"2025-09-17","cited_by_count":10,"area":"vla"},{"id":"2303.06710","title":"Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning","created":"2023-03-12","cited_by_count":9,"area":null},{"id":"2404.06645","title":"GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks","created":"2024-04-09","cited_by_count":9,"area":null},{"id":"2410.13979","title":"RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation","created":"2024-10-17","cited_by_count":9,"area":null},{"id":"2412.05515","title":"Video2Reward: Generating Reward Function from Videos for Legged Robot Behavior Learning","created":"2024-12-07","cited_by_count":9,"area":null},{"id":"2512.01946","title":"Guardian: Detecting Robotic Planning and Execution Errors with Vision-Language Models","created":"2025-12-01","cited_by_count":9,"area":"mllm"},{"id":"2508.13103","title":"Grounding Actions in Camera Space: Observation-Centric Vision-Language-Action Policy","created":"2025-08-18","cited_by_count":8,"area":"vla"},{"id":"2509.19524","title":"Score the Steps, Not Just the Goal: VLM-Based Subgoal Evaluation for Robotic Manipulation","created":"2025-09-23","cited_by_count":8,"area":null},{"id":"1911.02725","title":"Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance","created":"2019-11-07","cited_by_count":7,"area":"offlinerl"},{"id":"2403.13365","title":"ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics","created":"2024-03-20","cited_by_count":7,"area":null},{"id":"2406.14655","title":"HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation","created":"2024-06-20","cited_by_count":7,"area":null},{"id":"1907.03976","title":"Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations","created":"2019-07-09","cited_by_count":6,"area":"offlinerl"},{"id":"2208.00818","title":"Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning","created":"2022-08-01","cited_by_count":6,"area":null},{"id":"2211.08368","title":"A Survey on the Integration of Machine Learning with Sampling-based Motion Planning","created":"2022-11-15","cited_by_count":6,"area":null},{"id":"2306.09509","title":"Granger Causal Interaction Skill Chains","created":"2023-06-15","cited_by_count":6,"area":null},{"id":"2409.17641","title":"Scene Exploration by Vision-Language Models","created":"2024-09-26","cited_by_count":6,"area":"mllm"},{"id":"2411.00554","title":"Differentiable Physics-based System Identification for Robotic Manipulation of Elastoplastic Materials","created":"2024-11-01","cited_by_count":6,"area":null},{"id":"2505.11563","title":"Object-Centric Representations Improve Policy Generalization in Robot Manipulation","created":"2025-05-16","cited_by_count":6,"area":null},{"id":"2603.04910","title":"VPWEM: Non-Markovian Visuomotor Policy with Working and Episodic Memory","created":"2026-03-05","cited_by_count":6,"area":"diffusion"},{"id":"2202.12504","title":"Consolidated Adaptive T-soft Update for Deep Reinforcement Learning","created":"2022-02-25","cited_by_count":5,"area":null},{"id":"2207.05800","title":"Long-Horizon Planning and Execution with Functional Object-Oriented Networks","created":"2022-07-12","cited_by_count":5,"area":null},{"id":"2306.07392","title":"Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering","created":"2023-06-12","cited_by_count":5,"area":null},{"id":"2508.07626","title":"AR-VRM: Imitating Human Motions for Visual Robot Manipulation with Analogical Reasoning","created":"2025-08-11","cited_by_count":5,"area":"lr"},{"id":"2601.19969","title":"E2HiL: Entropy-Guided Sample Selection for Efficient Real-World Human-in-the-Loop Reinforcement Learning","created":"2026-01-27","cited_by_count":5,"area":"deeprl"},{"id":"2309.08925","title":"DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning","created":"2023-09-16","cited_by_count":4,"area":"offlinerl"},{"id":"2310.07207","title":"Robust Safe Reinforcement Learning under Adversarial Disturbances","created":"2023-10-11","cited_by_count":4,"area":null},{"id":"2404.04219","title":"Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation","created":"2024-04-05","cited_by_count":4,"area":"deeprl"},{"id":"2407.01302","title":"Robot Instance Segmentation with Few Annotations for Grasping","created":"2024-07-01","cited_by_count":4,"area":null},{"id":"2504.13618","title":"On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting","created":"2025-04-18","cited_by_count":4,"area":"offlinerl"},{"id":"2512.04770","title":"Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges","created":"2025-12-04","cited_by_count":4,"area":null},{"id":"2602.19372","title":"Seeing Farther and Smarter: Value-Guided Multi-Path Reflection for VLM Policy Optimization","created":"2026-02-22","cited_by_count":4,"area":null},{"id":"2101.04736","title":"Bootstrapping Motor Skill Learning with Motion Planning","created":"2021-01-12","cited_by_count":3,"area":null},{"id":"2201.05242","title":"Neural Circuit Architectural Priors for Embodied Control","created":"2022-01-13","cited_by_count":3,"area":null},{"id":"2205.08441","title":"Conditional Visual Servoing for Multi-Step Tasks","created":"2022-05-17","cited_by_count":3,"area":null},{"id":"2402.02551","title":"Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks","created":"2024-02-04","cited_by_count":3,"area":null},{"id":"2402.08424","title":"Conditional Neural Expert Processes for Learning Movement Primitives from Demonstration","created":"2024-02-13","cited_by_count":3,"area":"offlinerl"},{"id":"2504.13179","title":"ViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation","created":"2025-04-17","cited_by_count":3,"area":null},{"id":"2506.19408","title":"Is an object-centric representation beneficial for robotic manipulation ?","created":"2025-06-24","cited_by_count":3,"area":null},{"id":"2508.17449","title":"Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges","created":"2025-08-24","cited_by_count":3,"area":"offlinerl"},{"id":"2106.14829","title":"Dataset Bias Mitigation Through Analysis of CNN Training Scores","created":"2021-06-28","cited_by_count":2,"area":null},{"id":"2301.09770","title":"Language-guided Task Adaptation for Imitation Learning","created":"2023-01-24","cited_by_count":2,"area":"offlinerl"},{"id":"2303.04016","title":"Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation","created":"2023-03-07","cited_by_count":2,"area":"offlinerl"},{"id":"2308.04867","title":"Learning Type-Generalized Actions for Symbolic Planning","created":"2023-08-09","cited_by_count":2,"area":null},{"id":"2309.12560","title":"Machine Learning Meets Advanced Robotic Manipulation","created":"2023-09-22","cited_by_count":2,"area":null},{"id":"2312.17605","title":"Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints","created":"2023-12-29","cited_by_count":2,"area":null},{"id":"2503.13418","title":"FLEX: A Framework for Learning Robot-Agnostic Force-based Skills Involving Sustained Contact Object Manipulation","created":"2025-03-17","cited_by_count":2,"area":null},{"id":"2503.15368","title":"Online Imitation Learning for Manipulation via Decaying Relative Correction through Teleoperation","created":"2025-03-19","cited_by_count":2,"area":"offlinerl"},{"id":"2503.22249","title":"FLAM: Foundation Model-Based Body Stabilization for Humanoid Locomotion and Manipulation","created":"2025-03-28","cited_by_count":2,"area":null},{"id":"2506.08639","title":"Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators","created":"2025-06-10","cited_by_count":2,"area":"deeprl"},{"id":"2506.21628","title":"Ark: An Open-source Python-based Framework for Robot Learning","created":"2025-06-24","cited_by_count":2,"area":null},{"id":"2507.16038","title":"Discovering and using Spelke segments","created":"2025-07-21","cited_by_count":2,"area":null},{"id":"2511.15194","title":"Eq.Bot: Enhance Robotic Manipulation Learning via Group Equivariant Canonicalization","created":"2025-11-19","cited_by_count":2,"area":null},{"id":"2603.13315","title":"Bi-HIL: Bilateral Control-Based Multimodal Hierarchical Imitation Learning via Subtask-Level Progress Rate and Keyframe Memory for Long-Horizon Contact-Rich Robotic Manipulation","created":"2026-03-04","cited_by_count":2,"area":"offlinerl"},{"id":"2603.18284","title":"Offload or Overload: A Platform Measurement Study of Mobile Robotic Manipulation Workloads","created":"2026-03-18","cited_by_count":2,"area":null},{"id":"2605.10485","title":"VEGA: Visual Encoder Grounding Alignment for Spatially-Aware Vision-Language-Action Models","created":"2026-05-11","cited_by_count":2,"area":"lr"},{"id":"2605.17486","title":"DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization","created":"2026-05-17","cited_by_count":2,"area":"vla"},{"id":"2103.14256","title":"Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models","created":"2021-03-26","cited_by_count":1,"area":null},{"id":"2212.08961","title":"Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning","created":"2022-12-17","cited_by_count":1,"area":null},{"id":"2404.13652","title":"BANSAI: Towards Bridging the AI Adoption Gap in Industrial Robotics with Neurosymbolic Programming","created":"2024-04-21","cited_by_count":1,"area":null},{"id":"2411.11714","title":"Semantic-Geometric-Physical-Driven Robot Manipulation Skill Transfer via Skill Library and Tactile Representation","created":"2024-11-18","cited_by_count":1,"area":null}],"next_cursor":"100"}