{"total":282,"rows":[{"id":"2506.18088","title":"RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation","created":"2025-06-22","cited_by_count":518,"area":null},{"id":"2410.06158","title":"GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation","created":"2024-10-08","cited_by_count":296,"area":null},{"id":"2405.14093","title":"A Survey on Vision-Language-Action Models for Embodied AI","created":"2024-05-23","cited_by_count":279,"area":"vla"},{"id":"2507.04447","title":"DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge","created":"2025-07-06","cited_by_count":213,"area":"vla"},{"id":"2502.05855","title":"DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control","created":"2025-02-09","cited_by_count":195,"area":"mllm"},{"id":"2503.10631","title":"HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model","created":"2025-03-13","cited_by_count":181,"area":"vla"},{"id":"2412.13877","title":"RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation","created":"2024-12-18","cited_by_count":175,"area":"offlinerl"},{"id":"2412.15109","title":"Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation","created":"2024-12-19","cited_by_count":161,"area":"wm"},{"id":"2502.05485","title":"HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation","created":"2025-02-08","cited_by_count":130,"area":"vla"},{"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":"2405.16173","title":"Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization","created":"2024-05-25","cited_by_count":110,"area":"diffusion"},{"id":"2503.07511","title":"PointVLA: Injecting the 3D World into Vision-Language-Action Models","created":"2025-03-10","cited_by_count":105,"area":"lr"},{"id":"2501.18867","title":"UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent","created":"2025-01-31","cited_by_count":102,"area":"mllm"},{"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":"2412.14058","title":"What Matters in Building Vision-Language-Action Models for Generalist Robots","created":"2024-12-18","cited_by_count":89,"area":"mllm"},{"id":"2510.07077","title":"Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications","created":"2025-10-08","cited_by_count":84,"area":"mllm"},{"id":"2505.03912","title":"OpenHelix: A Short Survey, Empirical Analysis, and Open-Source Dual-System VLA Model for Robotic Manipulation","created":"2025-05-06","cited_by_count":82,"area":"vla"},{"id":"2506.07961","title":"BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models","created":"2025-06-09","cited_by_count":80,"area":"mllm"},{"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":"2410.08001","title":"Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation","created":"2024-10-10","cited_by_count":73,"area":"vla"},{"id":"2410.10088","title":"The Ingredients for Robotic Diffusion Transformers","created":"2024-10-14","cited_by_count":73,"area":"diffusion"},{"id":"2502.00361","title":"Efficient Online Reinforcement Learning for Diffusion Policy","created":"2025-02-01","cited_by_count":71,"area":"diffusion"},{"id":"2412.04445","title":"Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos","created":"2024-12-05","cited_by_count":69,"area":null},{"id":"2505.19017","title":"WorldEval: World Model as Real-World Robot Policies Evaluator","created":"2025-05-25","cited_by_count":68,"area":"wm"},{"id":"2601.12993","title":"Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization","created":"2026-01-19","cited_by_count":66,"area":"vla"},{"id":"2501.01895","title":"EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation","created":"2025-01-03","cited_by_count":61,"area":"wm"},{"id":"2406.01586","title":"ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation","created":"2024-06-03","cited_by_count":57,"area":"diffusion"},{"id":"2407.01531","title":"Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning","created":"2024-07-01","cited_by_count":57,"area":"diffusion"},{"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":"2509.04996","title":"FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies","created":"2025-09-05","cited_by_count":57,"area":"vla"},{"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":"2509.01819","title":"ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training","created":"2025-09-01","cited_by_count":49,"area":"diffusion"},{"id":"2509.19012","title":"Pure Vision Language Action (VLA) Models: A Comprehensive Survey","created":"2025-09-23","cited_by_count":49,"area":"mllm"},{"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":"2510.18135","title":"World-in-World: World Models in a Closed-Loop World","created":"2025-10-20","cited_by_count":47,"area":"wm"},{"id":"2411.09153","title":"VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation","created":"2024-11-14","cited_by_count":46,"area":"diffusion"},{"id":"2411.18623","title":"Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation","created":"2024-11-27","cited_by_count":46,"area":null},{"id":"2411.17189","title":"PhysMotion: Physics-Grounded Dynamics From a Single Image","created":"2024-11-26","cited_by_count":45,"area":null},{"id":"2602.12684","title":"Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution","created":"2026-02-13","cited_by_count":45,"area":"vla"},{"id":"2412.08442","title":"From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons","created":"2024-12-11","cited_by_count":42,"area":"mllm"},{"id":"2410.15959","title":"Diffusion Transformer Policy","created":"2024-10-21","cited_by_count":41,"area":"vla"},{"id":"2504.08438","title":"Diffusion Models for Robotic Manipulation: A Survey","created":"2025-04-11","cited_by_count":41,"area":"diffusion"},{"id":"2408.14368","title":"GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned Policy","created":"2024-08-26","cited_by_count":39,"area":"deeprl"},{"id":"2410.01345","title":"Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy","created":"2024-10-02","cited_by_count":38,"area":null},{"id":"2506.17561","title":"VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models","created":"2025-06-21","cited_by_count":36,"area":"vla"},{"id":"2512.01809","title":"Much Ado About Noising: Dispelling the Myths of Generative Robotic Control","created":"2025-12-01","cited_by_count":36,"area":null},{"id":"2405.04798","title":"From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control","created":"2024-05-08","cited_by_count":35,"area":null},{"id":"2406.07904","title":"Grounding Multimodal Large Language Models in Actions","created":"2024-06-12","cited_by_count":35,"area":"mllm"},{"id":"2408.04380","title":"Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations","created":"2024-08-08","cited_by_count":35,"area":"offlinerl"},{"id":"2409.03685","title":"View-Invariant Policy Learning via Zero-Shot Novel View Synthesis","created":"2024-09-05","cited_by_count":35,"area":null},{"id":"2411.18369","title":"G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation","created":"2024-11-27","cited_by_count":35,"area":null},{"id":"2412.19948","title":"Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models","created":"2024-12-27","cited_by_count":33,"area":"diffusion"},{"id":"2503.08950","title":"FP3: A 3D Foundation Policy for Robotic Manipulation","created":"2025-03-11","cited_by_count":32,"area":null},{"id":"2507.13097","title":"GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training","created":"2025-07-17","cited_by_count":32,"area":null},{"id":"2509.06932","title":"LLaDA-VLA: Vision Language Diffusion Action Models","created":"2025-09-08","cited_by_count":30,"area":"mllm"},{"id":"2602.09849","title":"BagelVLA: Enhancing Long-Horizon Manipulation via Interleaved Vision-Language-Action Generation","created":"2026-02-10","cited_by_count":30,"area":"vla"},{"id":"2410.08208","title":"SPA: 3D Spatial-Awareness Enables Effective Embodied Representation","created":"2024-10-10","cited_by_count":28,"area":null},{"id":"2510.17439","title":"From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors","created":"2025-10-20","cited_by_count":28,"area":"lr"},{"id":"2410.03132","title":"Autoregressive Action Sequence Learning for Robotic Manipulation","created":"2024-10-04","cited_by_count":27,"area":null},{"id":"2410.11402","title":"M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes","created":"2024-10-15","cited_by_count":27,"area":"diffusion"},{"id":"2506.06072","title":"BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning","created":"2025-06-06","cited_by_count":27,"area":"offlinerl"},{"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":"2509.14117","title":"GeoAware-VLA: Implicit Geometry Aware Vision-Language-Action Model","created":"2025-09-17","cited_by_count":26,"area":"vla"},{"id":"2510.17111","title":"Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey","created":"2025-10-20","cited_by_count":26,"area":"mllm"},{"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":"2506.19816","title":"CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling","created":"2025-06-24","cited_by_count":25,"area":"mllm"},{"id":"2509.15212","title":"RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation","created":"2025-09-18","cited_by_count":25,"area":"vla"},{"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":"2409.07163","title":"Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models","created":"2024-09-11","cited_by_count":23,"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":"2407.04152","title":"VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation","created":"2024-07-04","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":"2504.03515","title":"Dexterous Manipulation through Imitation Learning: A Survey","created":"2025-04-04","cited_by_count":21,"area":"offlinerl"},{"id":"2507.23675","title":"One-Step Flow Policy Mirror Descent","created":"2025-07-31","cited_by_count":21,"area":"diffusion"},{"id":"2601.07060","title":"PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation","created":"2026-01-11","cited_by_count":21,"area":"vla"},{"id":"2602.12062","title":"HoloBrain-0 Technical Report","created":"2026-02-12","cited_by_count":21,"area":"vla"},{"id":"2406.18977","title":"RoboUniView: Visual-Language Model with Unified View Representation for Robotic Manipulation","created":"2024-06-27","cited_by_count":20,"area":"mllm"},{"id":"2410.23254","title":"Keypoint Abstraction using Large Models for Object-Relative Imitation Learning","created":"2024-10-30","cited_by_count":20,"area":"offlinerl"},{"id":"2505.19767","title":"RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal Feedback","created":"2025-05-26","cited_by_count":20,"area":"vla"},{"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":"2501.06605","title":"RoboHorizon: An LLM-Assisted Multi-View World Model for Long-Horizon Robotic Manipulation","created":"2025-01-11","cited_by_count":19,"area":"wm"},{"id":"2405.19424","title":"Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies","created":"2024-05-29","cited_by_count":18,"area":"diffusion"},{"id":"2406.11740","title":"Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies","created":"2024-06-17","cited_by_count":18,"area":null},{"id":"2407.07875","title":"Generative Image as Action Models","created":"2024-07-10","cited_by_count":18,"area":"diffusion"},{"id":"2512.11218","title":"Seeing to Act, Prompting to Specify: A Bayesian Factorization of Vision Language Action Policy","created":"2025-12-12","cited_by_count":18,"area":"mllm"},{"id":"2601.08325","title":"ActiveVLA: Injecting Active Perception into Vision-Language-Action Models for Precise 3D Robotic Manipulation","created":"2026-01-13","cited_by_count":18,"area":"mllm"},{"id":"2407.07787","title":"Continuous Control with Coarse-to-fine Reinforcement Learning","created":"2024-07-10","cited_by_count":17,"area":"deeprl"},{"id":"2503.04877","title":"Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning","created":"2025-03-06","cited_by_count":17,"area":"offlinerl"},{"id":"2506.09990","title":"Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation","created":"2025-06-11","cited_by_count":17,"area":null},{"id":"2412.06779","title":"AnyBimanual: Transferring Unimanual Policy for General Bimanual Manipulation","created":"2024-12-09","cited_by_count":16,"area":null},{"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":"2502.10040","title":"Diffusion Trajectory-guided Policy for Long-horizon Robot Manipulation","created":"2025-02-14","cited_by_count":15,"area":"vla"},{"id":"2503.00339","title":"Falcon: Fast Visuomotor Policies via Partial Denoising","created":"2025-03-01","cited_by_count":15,"area":"diffusion"},{"id":"2505.21981","title":"Learning Compositional Behaviors from Demonstration and Language","created":"2025-05-28","cited_by_count":15,"area":"offlinerl"},{"id":"2503.10370","title":"LUMOS: Language-Conditioned Imitation Learning with World Models","created":"2025-03-13","cited_by_count":14,"area":"wm"},{"id":"2510.02268","title":"Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning","created":"2025-10-02","cited_by_count":14,"area":"offlinerl"},{"id":"2602.15828","title":"Dex4D: Task-Agnostic Point Track Policy for Zero-Shot Dexterous Manipulation","created":"2026-02-17","cited_by_count":14,"area":null},{"id":"2604.05656","title":"SnapFlow: One-Step Action Generation for Flow-Matching VLAs via Progressive Self-Distillation","created":"2026-04-07","cited_by_count":14,"area":"vla"},{"id":"2406.10615","title":"Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation","created":"2024-06-15","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}],"next_cursor":"100"}