{"total":89,"rows":[{"id":"2501.03575","title":"Cosmos World Foundation Model Platform for Physical AI","created":"2025-01-07","cited_by_count":864,"area":"wm"},{"id":"2503.19757","title":"Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy","created":"2025-03-25","cited_by_count":74,"area":"vla"},{"id":"2510.14830","title":"RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning","created":"2025-10-16","cited_by_count":59,"area":"deeprl"},{"id":"2412.03293","title":"Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning","created":"2024-12-04","cited_by_count":57,"area":"diffusion"},{"id":"2505.08712","title":"NavDP: Learning Sim-to-Real Navigation Diffusion Policy with Privileged Information Guidance","created":"2025-05-13","cited_by_count":49,"area":"diffusion"},{"id":"2503.05652","title":"BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities","created":"2025-03-07","cited_by_count":31,"area":null},{"id":"2602.03310","title":"RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization","created":"2026-02-03","cited_by_count":30,"area":"vla"},{"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":"2603.19199","title":"FASTER: Rethinking Real-Time Flow VLAs","created":"2026-03-19","cited_by_count":21,"area":"vla"},{"id":"2412.10855","title":"Fast and Robust Visuomotor Riemannian Flow Matching Policy","created":"2024-12-14","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":"2503.00339","title":"Falcon: Fast Visuomotor Policies via Partial Denoising","created":"2025-03-01","cited_by_count":15,"area":"diffusion"},{"id":"2607.01804","title":"VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon","created":"2026-07-02","cited_by_count":15,"area":"vla"},{"id":"2412.09265","title":"Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillation","created":"2024-12-12","cited_by_count":13,"area":null},{"id":"2506.08822","title":"FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency","created":"2025-06-10","cited_by_count":13,"area":null},{"id":"2508.06804","title":"D3P: Dynamic Denoising Diffusion Policy via Reinforcement Learning","created":"2025-08-09","cited_by_count":10,"area":"diffusion"},{"id":"2505.01179","title":"Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings","created":"2025-05-02","cited_by_count":9,"area":"diffusion"},{"id":"2508.01622","title":"VFP: Variational Flow-Matching Policy for Multi-Modal Robot Manipulation","created":"2025-08-03","cited_by_count":9,"area":"diffusion"},{"id":"2602.13810","title":"Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation","created":"2026-02-14","cited_by_count":9,"area":"deeprl"},{"id":"2603.16952","title":"Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies","created":"2026-03-16","cited_by_count":9,"area":null},{"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":"2510.07865","title":"DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation","created":"2025-10-09","cited_by_count":8,"area":null},{"id":"2605.13778","title":"Realtime-VLA FLASH: Speculative Inference Framework for Diffusion-based VLAs","created":"2026-05-13","cited_by_count":8,"area":"vla"},{"id":"2502.03822","title":"Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training","created":"2025-02-06","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":"2603.12480","title":"One-Step Flow Policy: Self-Distillation for Fast Visuomotor Policies","created":"2026-03-12","cited_by_count":7,"area":"diffusion"},{"id":"2510.08547","title":"R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation","created":"2025-10-09","cited_by_count":6,"area":null},{"id":"2512.15773","title":"TS-DP: Reinforcement Speculative Decoding For Temporal Adaptive Diffusion Policy Acceleration","created":"2025-12-13","cited_by_count":6,"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":"2601.12894","title":"Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning","created":"2026-01-19","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":"2605.22894","title":"SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-Based Humanoid Control","created":"2026-05-21","cited_by_count":5,"area":"diffusion"},{"id":"2606.20905","title":"Vesta: A Generalist Embodied Reasoning Model","created":"2026-06-18","cited_by_count":5,"area":"lr"},{"id":"2512.19347","title":"OMP: One-step Meanflow Policy with Directional Alignment","created":"2025-12-22","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":"2604.19730","title":"FASTER: Value-Guided Sampling for Fast RL","created":"2026-04-21","cited_by_count":4,"area":"lr"},{"id":"2605.13959","title":"WarmPrior: Straightening Flow-Matching Policies with Temporal Priors","created":"2026-05-13","cited_by_count":4,"area":"diffusion"},{"id":"2608.11605","title":"Foresight Without Seeing: Latent Futures for World Action Models","created":"2026-08-12","cited_by_count":4,"area":"wm"},{"id":"2504.09927","title":"Efficient Task-specific Conditional Diffusion Policies: Shortcut Model Acceleration and SO(3) Optimization","created":"2025-04-14","cited_by_count":3,"area":"diffusion"},{"id":"2504.19652","title":"Robot Motion Planning using One-Step Diffusion with Noise-Optimized Approximate Motions","created":"2025-04-28","cited_by_count":3,"area":"diffusion"},{"id":"2506.07822","title":"Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation","created":"2025-06-09","cited_by_count":3,"area":"diffusion"},{"id":"2510.12483","title":"Fast Visuomotor Policy for Robotic Manipulation","created":"2025-10-14","cited_by_count":3,"area":null},{"id":"2605.01581","title":"Hyper-DP3: Frequency-Aware Right-Sizing of 3D Diffusion Policies for Visuomotor Control","created":"2026-05-02","cited_by_count":3,"area":"diffusion"},{"id":"2412.20368","title":"Subconscious Robotic Imitation Learning","created":"2024-12-29","cited_by_count":2,"area":"offlinerl"},{"id":"2511.17898","title":"L1 Sample Flow for Efficient Visuomotor Learning","created":"2025-11-22","cited_by_count":2,"area":"diffusion"},{"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":"2608.04396","title":"CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention","created":"2026-08-05","cited_by_count":2,"area":"vla"},{"id":"2608.29749","title":"DriftingVLA: Native One-Step Vision-Language-Action Generation via Per-Dimension Temporal Drifting","created":"2026-08-30","cited_by_count":2,"area":"vla"},{"id":"2502.09649","title":"ImitDiff: Transferring Foundation-Model Priors for Distraction Robust Visuomotor Policy","created":"2025-02-11","cited_by_count":1,"area":"offlinerl"},{"id":"2507.21452","title":"Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training","created":"2025-07-29","cited_by_count":1,"area":"diffusion"},{"id":"2511.00555","title":"Improving Robustness to Out-of-Distribution States in Imitation Learning via Deep Koopman-Boosted Diffusion Policy","created":"2025-11-01","cited_by_count":1,"area":"diffusion"},{"id":"2511.16233","title":"FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models","created":"2025-11-20","cited_by_count":1,"area":"vla"},{"id":"2601.01003","title":"Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations","created":"2026-01-02","cited_by_count":1,"area":"diffusion"},{"id":"2601.22018","title":"PocketDP3: Efficient Pocket-Scale 3D Visuomotor Policy","created":"2026-01-29","cited_by_count":1,"area":"diffusion"},{"id":"2605.26006","title":"MIND: Multi-Scale Intent Diffusion for Text-Driven Physics-Based Humanoid Control","created":"2026-05-25","cited_by_count":1,"area":null},{"id":"2606.01098","title":"Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry","created":"2026-05-31","cited_by_count":1,"area":"diffusion"},{"id":"2606.28529","title":"The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks","created":"2026-06-26","cited_by_count":1,"area":null},{"id":"2607.03865","title":"High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching","created":"2026-07-04","cited_by_count":1,"area":"diffusion"},{"id":"2607.20293","title":"Evolving Cache Schedules for Fast Diffusion Policy Inference","created":"2026-07-22","cited_by_count":1,"area":"diffusion"},{"id":"2608.13924","title":"BICPO-VLA: Behavior-Identified Continuation Preference Optimization for Smooth Asynchronous Vision-Language-Action Control","created":"2026-08-14","cited_by_count":1,"area":"vla"},{"id":"2602.13718","title":"HybridFlow: A 2-NFE Generative Policy for Real-Time Robotic Manipulation","created":"2026-02-14","cited_by_count":0,"area":null},{"id":"2603.27058","title":"Liquid Networks with Mixture Density Heads for Efficient Imitation Learning","created":"2026-03-28","cited_by_count":0,"area":"diffusion"},{"id":"2604.15938","title":"VADF: Vision-Adaptive Diffusion Policy Framework for Efficient Robotic Manipulation","created":"2026-04-17","cited_by_count":0,"area":"diffusion"},{"id":"2605.09999","title":"Muninn: Your Trajectory Diffusion Model But Faster","created":"2026-05-11","cited_by_count":0,"area":"diffusion"},{"id":"2605.10051","title":"Guided Streaming Stochastic Interpolant Policy","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.13316","title":"Test-time Sparsity for Extreme Fast Action Diffusion","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2605.15944","title":"FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy","created":"2026-05-15","cited_by_count":0,"area":"diffusion"},{"id":"2605.24924","title":"Dynamic Neural Koopman Distillation for Real-Time Robot Control Using Diffusion Models","created":"2026-05-24","cited_by_count":0,"area":"diffusion"},{"id":"2606.10371","title":"Test-time Adversarial Takeover: A Real-time Hijacking Interface against Robotic Diffusion Policies","created":"2026-06-09","cited_by_count":0,"area":"diffusion"},{"id":"2606.29934","title":"RoamFlow: Reinforcement-Aligned One-Step Action MeanFlow Policy for Image-Goal Navigation","created":"2026-06-29","cited_by_count":0,"area":"deeprl"},{"id":"2607.04739","title":"Spatial Attention: Adapting Execution Horizons for Diffusion Policies via Observation Sensitivity","created":"2026-07-06","cited_by_count":0,"area":"diffusion"},{"id":"2607.06018","title":"RoboTALES: Learning Reasoning-Guided Robot Policies via Task-Aligned Simulated Futures","created":"2026-07-07","cited_by_count":0,"area":"lr"},{"id":"2607.06262","title":"Optimal Transport Q-Learning for Flow Policy Steering and Acceleration","created":"2026-07-07","cited_by_count":0,"area":"vla"},{"id":"2607.14643","title":"NavCMPO: Critic-Guided MeanFlow Policy Optimization for Adaptive Navigation","created":"2026-07-16","cited_by_count":0,"area":"deeprl"},{"id":"2609.10915","title":"IMLE-VLA: Fast Single-Step Action Generation for Vision-Language-Action Policies","created":"2026-09-10","cited_by_count":0,"area":"vla"},{"id":"2609.18242","title":"ForceDelta-VLA: Distilling Force-Conditioned ActionCorrections for Contact-Rich Manipulation","created":"2026-09-16","cited_by_count":0,"area":"vla"},{"id":"2609.21022","title":"Catch Me If You Can: Real-Time Feedback Denoising for Responsive VLAs","created":"2026-09-17","cited_by_count":0,"area":"mllm"},{"id":"2609.24840","title":"PredActor: Predictive Action Diffusion for Steerable Onboard Humanoid Control","created":"2026-09-21","cited_by_count":0,"area":"diffusion"},{"id":"2609.34911","title":"Don't Throw Away the Tail: Action Upcycling for Policy Acceleration","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.36540","title":"Reactive Real-Time Flow Policies via Asynchronous Distribution Alignment","created":"2026-09-29","cited_by_count":0,"area":"vla"},{"id":"2609.37772","title":"Urgent Actions Go First: Urgency-Aware Denoising for Real-Time VLA Control","created":"2026-09-29","cited_by_count":0,"area":"vla"},{"id":"2609.39526","title":"Discrete Forcing: Infusing Discrete Guidance into Continuous Denoising for Few-Step Action Experts","created":"2026-09-30","cited_by_count":0,"area":"vla"},{"id":"2609.39822","title":"Toward Real-Time VLAs: Stage-Aware Two-Step Flow Denoising and System-Level Evaluation","created":"2026-09-30","cited_by_count":0,"area":"vla"},{"id":"2610.02832","title":"FastOPD: On-Policy Distillation for Lightweight VLA Deployment","created":"2026-10-02","cited_by_count":0,"area":"vla"},{"id":"2610.06089","title":"Adaptive Mean Flow for Responsive Closed-Loop Robot Control","created":"2026-10-05","cited_by_count":0,"area":"offlinerl"},{"id":"2610.11401","title":"WAM-Cache: Staleness-Bounded KV Reuse for Efficient World Action Models","created":"2026-10-08","cited_by_count":0,"area":"wm"},{"id":"2610.15625","title":"1Step-WAM: Your World Action Model but Faster using 1-Step Action Generation","created":"2026-10-11","cited_by_count":0,"area":"wm"},{"id":"2610.20604","title":"VITAL: From Visual Motion to Precise Action","created":"2026-10-14","cited_by_count":0,"area":"wm"}],"next_cursor":null}