{"total":166,"rows":[{"id":"2410.07864","title":"RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation","created":"2024-10-10","cited_by_count":691,"area":"diffusion"},{"id":"2601.16163","title":"Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning","created":"2026-01-22","cited_by_count":300,"area":"diffusion"},{"id":"2409.00588","title":"Diffusion Policy Policy Optimization","created":"2024-09-01","cited_by_count":280,"area":"diffusion"},{"id":"2506.15799","title":"Steering Your Diffusion Policy with Latent Space Reinforcement Learning","created":"2025-06-18","cited_by_count":169,"area":"diffusion"},{"id":"2403.03181","title":"Behavior Generation with Latent Actions","created":"2024-03-05","cited_by_count":160,"area":"diffusion"},{"id":"2407.05996","title":"Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals","created":"2024-07-08","cited_by_count":134,"area":"diffusion"},{"id":"2503.02881","title":"Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation","created":"2025-03-04","cited_by_count":108,"area":"diffusion"},{"id":"2403.03890","title":"Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation","created":"2024-03-06","cited_by_count":93,"area":"diffusion"},{"id":"2410.21257","title":"One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation","created":"2024-10-28","cited_by_count":89,"area":"diffusion"},{"id":"2407.01479","title":"EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning","created":"2024-07-01","cited_by_count":75,"area":"diffusion"},{"id":"2410.10088","title":"The Ingredients for Robotic Diffusion Transformers","created":"2024-10-14","cited_by_count":73,"area":"diffusion"},{"id":"2407.01812","title":"Equivariant Diffusion Policy","created":"2024-07-01","cited_by_count":66,"area":"diffusion"},{"id":"2409.07343","title":"Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching","created":"2024-09-11","cited_by_count":65,"area":"diffusion"},{"id":"2406.04806","title":"Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models","created":"2024-06-07","cited_by_count":56,"area":"diffusion"},{"id":"2410.10803","title":"Generalizable Humanoid Manipulation with 3D Diffusion Policies","created":"2024-10-14","cited_by_count":52,"area":"diffusion"},{"id":"2312.04549","title":"PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play","created":"2023-12-07","cited_by_count":50,"area":"diffusion"},{"id":"2309.11414","title":"EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning","created":"2023-09-20","cited_by_count":49,"area":"diffusion"},{"id":"2412.12953","title":"Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning","created":"2024-12-17","cited_by_count":48,"area":"diffusion"},{"id":"2507.23523","title":"H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation","created":"2025-07-31","cited_by_count":45,"area":"diffusion"},{"id":"2307.04726","title":"Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning","created":"2023-07-10","cited_by_count":42,"area":"diffusion"},{"id":"2510.09459","title":"Failure Prediction at Runtime for Generative Robot Policies","created":"2025-10-10","cited_by_count":42,"area":"diffusion"},{"id":"2406.09509","title":"CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making","created":"2024-06-13","cited_by_count":39,"area":"diffusion"},{"id":"2505.21851","title":"Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories","created":"2025-05-28","cited_by_count":39,"area":"diffusion"},{"id":"2409.14411","title":"Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation","created":"2024-09-22","cited_by_count":38,"area":"diffusion"},{"id":"2410.14868","title":"Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation","created":"2024-10-18","cited_by_count":33,"area":"diffusion"},{"id":"2505.09561","title":"Learning Long-Context Diffusion Policies via Past-Token Prediction","created":"2025-05-14","cited_by_count":30,"area":"diffusion"},{"id":"2503.11801","title":"Diffuse-CLoC: Guided Diffusion for Physics-based Character Look-ahead Control","created":"2025-03-14","cited_by_count":28,"area":"diffusion"},{"id":"2409.04576","title":"ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching","created":"2024-09-06","cited_by_count":26,"area":"diffusion"},{"id":"2504.16925","title":"Latent Diffusion Planning for Imitation Learning","created":"2025-04-23","cited_by_count":26,"area":"diffusion"},{"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":"2507.13231","title":"VITA: Vision-to-Action Flow Matching Policy","created":"2025-07-17","cited_by_count":25,"area":"diffusion"},{"id":"2503.10743","title":"Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation","created":"2025-03-13","cited_by_count":24,"area":"diffusion"},{"id":"2507.01961","title":"AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation","created":"2025-07-02","cited_by_count":23,"area":"diffusion"},{"id":"2405.16194","title":"Diffusion-Reward Adversarial Imitation Learning","created":"2024-05-25","cited_by_count":20,"area":"diffusion"},{"id":"2508.11002","title":"3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation","created":"2025-08-14","cited_by_count":20,"area":"diffusion"},{"id":"2407.07875","title":"Generative Image as Action Models","created":"2024-07-10","cited_by_count":18,"area":"diffusion"},{"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":"2506.22007","title":"RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation","created":"2025-06-27","cited_by_count":16,"area":"diffusion"},{"id":"2602.07322","title":"Action-to-Action Flow Matching","created":"2026-02-07","cited_by_count":16,"area":"diffusion"},{"id":"2502.12371","title":"IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation","created":"2025-02-17","cited_by_count":13,"area":"diffusion"},{"id":"2503.22634","title":"Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels","created":"2025-03-28","cited_by_count":13,"area":"diffusion"},{"id":"2506.16201","title":"FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation","created":"2025-06-19","cited_by_count":13,"area":"diffusion"},{"id":"2508.00697","title":"On-Device Diffusion Transformer Policy for Efficient Robot Manipulation","created":"2025-08-01","cited_by_count":13,"area":"diffusion"},{"id":"2512.03044","title":"Video2Act: A Dual-System Video Diffusion Policy with Robotic Spatio-Motional Modeling","created":"2025-12-02","cited_by_count":13,"area":"diffusion"},{"id":"2309.05803","title":"Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models","created":"2023-09-11","cited_by_count":10,"area":"diffusion"},{"id":"2508.06804","title":"D3P: Dynamic Denoising Diffusion Policy via Reinforcement Learning","created":"2025-08-09","cited_by_count":10,"area":"diffusion"},{"id":"2511.05007","title":"MoE-DP: An MoE-Enhanced Diffusion Policy for Robust Long-Horizon Robotic Manipulation with Skill Decomposition and Failure Recovery","created":"2025-11-07","cited_by_count":10,"area":"diffusion"},{"id":"2602.01789","title":"RFS: Reinforcement Learning with Residual Flow Steering for Dexterous Manipulation","created":"2026-02-02","cited_by_count":10,"area":"diffusion"},{"id":"2505.05787","title":"Demystifying Diffusion Policies: Action Memorization and Simple Lookup Table Alternatives","created":"2025-05-09","cited_by_count":9,"area":"diffusion"},{"id":"2512.10946","title":"ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast Learning","created":"2025-12-11","cited_by_count":9,"area":"diffusion"},{"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":"2506.16652","title":"CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity","created":"2025-06-19","cited_by_count":8,"area":"diffusion"},{"id":"2507.01723","title":"SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space","created":"2025-07-02","cited_by_count":8,"area":"diffusion"},{"id":"2508.17230","title":"4D Visual Pre-training for Robot Learning","created":"2025-08-24","cited_by_count":8,"area":"diffusion"},{"id":"2601.21251","title":"Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies","created":"2026-01-29","cited_by_count":8,"area":"diffusion"},{"id":"2403.10401","title":"SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy","created":"2024-03-15","cited_by_count":7,"area":"diffusion"},{"id":"2505.23171","title":"RoboTransfer: Controllable Geometry-Consistent Video Diffusion for Manipulation Policy Transfer","created":"2025-05-29","cited_by_count":7,"area":"diffusion"},{"id":"2510.12392","title":"Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking","created":"2025-10-14","cited_by_count":7,"area":"diffusion"},{"id":"2510.15530","title":"VO-DP: Semantic-Geometric Adaptive Diffusion Policy for Vision-Only Robotic Manipulation","created":"2025-10-17","cited_by_count":7,"area":"diffusion"},{"id":"2601.05241","title":"RoboVIP: Multi-View Video Generation with Visual Identity Prompting Augments Robot Manipulation","created":"2026-01-08","cited_by_count":7,"area":"diffusion"},{"id":"2602.08245","title":"STEP: Warm-Started Visuomotor Policies with Spatiotemporal Consistency Prediction","created":"2026-02-09","cited_by_count":7,"area":"diffusion"},{"id":"2410.19235","title":"Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation","created":"2024-10-25","cited_by_count":6,"area":"diffusion"},{"id":"2502.12631","title":"Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport","created":"2025-02-18","cited_by_count":6,"area":"diffusion"},{"id":"2511.04671","title":"X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations","created":"2025-11-06","cited_by_count":6,"area":"diffusion"},{"id":"2409.15528","title":"Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance","created":"2024-09-23","cited_by_count":5,"area":"diffusion"},{"id":"2505.13431","title":"A Practical Guide for Incorporating Symmetry in Diffusion Policy","created":"2025-05-19","cited_by_count":5,"area":"diffusion"},{"id":"2505.16969","title":"3D Equivariant Visuomotor Policy Learning via Spherical Projection","created":"2025-05-22","cited_by_count":5,"area":"diffusion"},{"id":"2506.09422","title":"Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation","created":"2025-06-11","cited_by_count":5,"area":"diffusion"},{"id":"2511.06385","title":"From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies","created":"2025-11-09","cited_by_count":5,"area":"diffusion"},{"id":"2512.07697","title":"Delay-Aware Diffusion Policy: Bridging the Observation-Execution Gap in Dynamic Tasks","created":"2025-12-08","cited_by_count":5,"area":"diffusion"},{"id":"2603.15757","title":"You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector","created":"2026-03-16","cited_by_count":5,"area":"diffusion"},{"id":"2604.03540","title":"Drift-Based Policy Optimization: Native One-Step Policy Learning for Online Robot Control","created":"2026-04-04","cited_by_count":5,"area":"diffusion"},{"id":"2605.11048","title":"ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching","created":"2026-05-11","cited_by_count":5,"area":"diffusion"},{"id":"2502.13406","title":"Generative Predictive Control: Flow Matching Policies for Dynamic and Difficult-to-Demonstrate Tasks","created":"2025-02-19","cited_by_count":4,"area":"diffusion"},{"id":"2510.23016","title":"ManiDP: Manipulability-Aware Diffusion Policy for Posture-Dependent Bimanual Manipulation","created":"2025-10-27","cited_by_count":4,"area":"diffusion"},{"id":"2512.19347","title":"OMP: One-step Meanflow Policy with Directional Alignment","created":"2025-12-22","cited_by_count":4,"area":"diffusion"},{"id":"2602.05513","title":"DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adapter","created":"2026-02-05","cited_by_count":4,"area":"diffusion"},{"id":"2603.05117","title":"SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation","created":"2026-03-05","cited_by_count":4,"area":"diffusion"},{"id":"2603.09415","title":"From Flow to One Step: Real-Time Multi-Modal Trajectory Policies via Implicit Maximum Likelihood Estimation-based Distribution Distillation","created":"2026-03-10","cited_by_count":4,"area":"diffusion"},{"id":"2604.03552","title":"CRAFT: Video Diffusion for Bimanual Robot Data Generation","created":"2026-04-04","cited_by_count":4,"area":"diffusion"},{"id":"2604.25050","title":"DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors","created":"2026-04-27","cited_by_count":4,"area":"diffusion"},{"id":"2605.13959","title":"WarmPrior: Straightening Flow-Matching Policies with Temporal Priors","created":"2026-05-13","cited_by_count":4,"area":"diffusion"},{"id":"2606.12365","title":"Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics","created":"2026-06-10","cited_by_count":4,"area":"diffusion"},{"id":"2606.22303","title":"FlowDPG: Deterministic Policy Gradient on Flow Matching Policies for Real-World Manipulation","created":"2026-06-21","cited_by_count":4,"area":"diffusion"},{"id":"2403.07312","title":"RoLD: Robot Latent Diffusion for Multi-task Policy Modeling","created":"2024-03-12","cited_by_count":3,"area":"diffusion"},{"id":"2506.06196","title":"Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization","created":"2025-06-06","cited_by_count":3,"area":"diffusion"},{"id":"2507.05674","title":"Integrating Diffusion-based Multi-task Learning with Online Reinforcement Learning for Robust Quadruped Robot Control","created":"2025-07-08","cited_by_count":3,"area":"diffusion"},{"id":"2509.11865","title":"Tenma: Robust Cross-Embodiment Robot Manipulation with Diffusion Transformer","created":"2025-09-15","cited_by_count":3,"area":"diffusion"},{"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":"2510.14643","title":"Generative Models From and For Sampling-Based MPC: A Bootstrapped Approach For Adaptive Contact-Rich Manipulation","created":"2025-10-16","cited_by_count":3,"area":"diffusion"},{"id":"2603.01953","title":"Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy","created":"2026-03-02","cited_by_count":3,"area":"diffusion"},{"id":"2603.17834","title":"Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control","created":"2026-03-18","cited_by_count":3,"area":"diffusion"},{"id":"2605.15492","title":"FLASH: Efficient Visuomotor Policy via Sparse Sampling","created":"2026-05-15","cited_by_count":3,"area":"diffusion"},{"id":"2607.28596","title":"FA-RDP: A Frequency-Adaptive Reactive Diffusion Policy for Contact-Rich Manipulation","created":"2026-07-30","cited_by_count":3,"area":"diffusion"},{"id":"2411.09953","title":"Brain-inspired Action Generation with Spiking Transformer Diffusion Policy Model","created":"2024-11-15","cited_by_count":2,"area":"diffusion"},{"id":"2509.13574","title":"Dense-Jump Flow Matching with Non-Uniform Time Scheduling for Robotic Policies: Mitigating Multi-Step Inference Degradation","created":"2025-09-16","cited_by_count":2,"area":"diffusion"},{"id":"2511.00998","title":"GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies","created":"2025-11-02","cited_by_count":2,"area":"diffusion"},{"id":"2511.17898","title":"L1 Sample Flow for Efficient Visuomotor Learning","created":"2025-11-22","cited_by_count":2,"area":"diffusion"},{"id":"2512.14217","title":"DRAW2ACT: Turning Depth-Encoded Trajectories into Robotic Demonstration Videos","created":"2025-12-16","cited_by_count":2,"area":"diffusion"},{"id":"2601.06133","title":"A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control","created":"2026-01-05","cited_by_count":2,"area":"diffusion"}],"next_cursor":"100"}