{"total":175,"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":"2503.06669","title":"AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems","created":"2025-03-09","cited_by_count":405,"area":null},{"id":"2601.21998","title":"Causal World Modeling for Robot Control","created":"2026-01-29","cited_by_count":321,"area":"wm"},{"id":"2510.10274","title":"X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model","created":"2025-10-11","cited_by_count":303,"area":"vla"},{"id":"2512.13030","title":"Motus: A Unified Latent Action World Model","created":"2025-12-15","cited_by_count":251,"area":"wm"},{"id":"2511.00062","title":"World Simulation with Video Foundation Models for Physical AI","created":"2025-10-28","cited_by_count":200,"area":null},{"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":"2603.17240","title":"GigaWorld-Policy: An Efficient Action-Centered World--Action Model","created":"2026-03-18","cited_by_count":139,"area":"wm"},{"id":"2604.05014","title":"StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing","created":"2026-04-06","cited_by_count":112,"area":"wm"},{"id":"2602.11236","title":"ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning","created":"2026-02-11","cited_by_count":103,"area":null},{"id":"2507.01925","title":"A Survey on Vision-Language-Action Models: An Action Tokenization Perspective","created":"2025-07-02","cited_by_count":96,"area":"vla"},{"id":"2509.00576","title":"Galaxea Open-World Dataset and G0 Dual-System VLA Model","created":"2025-08-30","cited_by_count":92,"area":"vla"},{"id":"2507.16746","title":"Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning","created":"2025-07-22","cited_by_count":84,"area":"lr"},{"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":"2510.13778","title":"InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy","created":"2025-10-15","cited_by_count":84,"area":"vla"},{"id":"2505.19017","title":"WorldEval: World Model as Real-World Robot Policies Evaluator","created":"2025-05-25","cited_by_count":68,"area":"wm"},{"id":"2509.22642","title":"WoW: Towards a World omniscient World model Through Embodied Interaction","created":"2025-09-26","cited_by_count":67,"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":"2507.12898","title":"Vidar: Embodied Video Diffusion Model for Generalist Manipulation","created":"2025-07-17","cited_by_count":62,"area":"diffusion"},{"id":"2511.19861","title":"GigaWorld-0: World Models as Data Engine to Empower Embodied AI","created":"2025-11-25","cited_by_count":62,"area":"wm"},{"id":"2511.16651","title":"InternData-A1: Pioneering High-Fidelity Synthetic Data for Pre-training Generalist Policy","created":"2025-11-20","cited_by_count":50,"area":"vla"},{"id":"2601.02456","title":"InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation","created":"2026-01-05","cited_by_count":50,"area":"mllm"},{"id":"2606.17846","title":"Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models","created":"2026-06-16","cited_by_count":50,"area":null},{"id":"2505.21906","title":"ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge","created":"2025-05-28","cited_by_count":49,"area":"lr"},{"id":"2507.23523","title":"H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation","created":"2025-07-31","cited_by_count":45,"area":"diffusion"},{"id":"2510.19430","title":"GigaBrain-0: A World Model-Powered Vision-Language-Action Model","created":"2025-10-22","cited_by_count":44,"area":"wm"},{"id":"2605.30280","title":"Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments","created":"2026-05-28","cited_by_count":44,"area":"vla"},{"id":"2506.14697","title":"AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions","created":"2025-06-17","cited_by_count":38,"area":"mllm"},{"id":"2607.08639","title":"Native Video-Action Pretraining for Generalizable Robot Control","created":"2026-07-09","cited_by_count":36,"area":null},{"id":"2601.22153","title":"DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation","created":"2026-01-29","cited_by_count":34,"area":"vla"},{"id":"2601.15282","title":"Rethinking Video Generation Model for the Embodied World","created":"2026-01-21","cited_by_count":33,"area":null},{"id":"2506.01953","title":"Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning","created":"2025-06-02","cited_by_count":31,"area":"lr"},{"id":"2508.06426","title":"Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation","created":"2025-08-08","cited_by_count":31,"area":"vla"},{"id":"2508.21112","title":"EO-1: An Open Unified Embodied Foundation Model for General Robot Control","created":"2025-08-28","cited_by_count":31,"area":"lr"},{"id":"2604.11757","title":"StarVLA-$\\alpha$: Reducing Complexity in Vision-Language-Action Systems","created":"2026-04-13","cited_by_count":31,"area":"vla"},{"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":"2607.00678","title":"ABot-M0.5: Unified Mobility-and-Manipulation World Action Model","created":"2026-07-01","cited_by_count":30,"area":"wm"},{"id":"2603.23376","title":"ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment","created":"2026-03-24","cited_by_count":29,"area":"wm"},{"id":"2510.07181","title":"TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics","created":"2025-10-08","cited_by_count":27,"area":"lr"},{"id":"2512.00903","title":"SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead","created":"2025-11-30","cited_by_count":26,"area":"mllm"},{"id":"2510.17801","title":"Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain","created":"2025-10-20","cited_by_count":25,"area":"mllm"},{"id":"2506.17639","title":"RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models","created":"2025-06-21","cited_by_count":23,"area":"vla"},{"id":"2507.12768","title":"AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation","created":"2025-07-17","cited_by_count":23,"area":null},{"id":"2509.26642","title":"MLA: A Multisensory Language-Action Model for Multimodal Understanding and Forecasting in Robotic Manipulation","created":"2025-09-30","cited_by_count":23,"area":"mllm"},{"id":"2602.06556","title":"LIBERO-X: Robustness Litmus for Vision-Language-Action Models","created":"2026-02-06","cited_by_count":22,"area":"vla"},{"id":"2512.02834","title":"Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach","created":"2025-12-02","cited_by_count":21,"area":"lr"},{"id":"2507.06219","title":"Is Diversity All You Need for Scalable Robotic Manipulation?","created":"2025-07-08","cited_by_count":20,"area":null},{"id":"2603.15620","title":"Towards Generalizable Robotic Manipulation in Dynamic Environments","created":"2026-03-16","cited_by_count":20,"area":"vla"},{"id":"2503.03081","title":"AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons","created":"2025-03-05","cited_by_count":18,"area":"offlinerl"},{"id":"2510.23571","title":"RobotArena $\\infty$: Scalable Robot Benchmarking via Real-to-Sim Translation","created":"2025-10-27","cited_by_count":18,"area":"vla"},{"id":"2511.01571","title":"PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model","created":"2025-11-03","cited_by_count":18,"area":"vla"},{"id":"2511.15669","title":"DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models","created":"2025-10-31","cited_by_count":18,"area":"lr"},{"id":"2512.21970","title":"StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision","created":"2025-12-26","cited_by_count":18,"area":"vla"},{"id":"2602.10556","title":"LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer","created":"2026-02-11","cited_by_count":18,"area":"vla"},{"id":"2604.07430","title":"HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents","created":"2026-04-08","cited_by_count":18,"area":"agents"},{"id":"2505.01458","title":"A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI","created":"2025-05-01","cited_by_count":16,"area":null},{"id":"2511.02776","title":"XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations","created":"2025-11-04","cited_by_count":15,"area":"mllm"},{"id":"2512.17661","title":"Vidarc: Embodied Video Diffusion Model for Closed-loop Control","created":"2025-12-19","cited_by_count":15,"area":"diffusion"},{"id":"2511.19859","title":"Unifying Perception and Action: A Hybrid-Modality Pipeline with Implicit Visual Chain-of-Thought for Robotic Action Generation","created":"2025-11-25","cited_by_count":14,"area":"lr"},{"id":"2602.09973","title":"RoboInter: A Holistic Intermediate Representation Suite Towards Robotic Manipulation","created":"2026-02-10","cited_by_count":14,"area":"mllm"},{"id":"2606.17030","title":"Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation","created":"2026-06-15","cited_by_count":14,"area":"wm"},{"id":"2506.18897","title":"MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis","created":"2025-06-23","cited_by_count":13,"area":"wm"},{"id":"2507.00833","title":"HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning","created":"2025-07-01","cited_by_count":13,"area":"lr"},{"id":"2601.04137","title":"Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test","created":"2026-01-07","cited_by_count":13,"area":"wm"},{"id":"2606.13674","title":"RepWAM: World Action Modeling with Representation Visual-Action Tokenizers","created":"2026-06-11","cited_by_count":13,"area":"wm"},{"id":"2510.23511","title":"Dexbotic: Open-Source Vision-Language-Action Toolbox","created":"2025-10-27","cited_by_count":12,"area":"vla"},{"id":"2602.14974","title":"DM0: An Embodied-Native Vision-Language-Action Model towards Physical AI","created":"2026-02-16","cited_by_count":12,"area":"vla"},{"id":"2605.30877","title":"Wall-OSS-0.5 Technical Report","created":"2026-05-29","cited_by_count":12,"area":"vla"},{"id":"2607.02642","title":"GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation","created":"2026-07-02","cited_by_count":11,"area":"wm"},{"id":"2607.13960","title":"GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch","created":"2026-07-15","cited_by_count":11,"area":"wm"},{"id":"2503.11089","title":"EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks","created":"2025-03-14","cited_by_count":10,"area":"lr"},{"id":"2511.00108","title":"Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence","created":"2025-10-30","cited_by_count":10,"area":null},{"id":"2511.17366","title":"METIS: Multi-Source Egocentric Training for Integrated Dexterous Vision-Language-Action Model","created":"2025-11-21","cited_by_count":10,"area":"vla"},{"id":"2604.03037","title":"ARM: Advantage Reward Modeling for Long-Horizon Manipulation","created":"2026-04-03","cited_by_count":10,"area":"alignment"},{"id":"2604.07993","title":"HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation","created":"2026-04-09","cited_by_count":10,"area":"vla"},{"id":"2605.10942","title":"HarmoWAM: Harmonizing Generalizable and Precise Manipulation via Adaptive World Action Models","created":"2026-05-11","cited_by_count":10,"area":"wm"},{"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":"2602.10109","title":"ST4VLA: Spatially Guided Training for Vision-Language-Action Models","created":"2026-02-10","cited_by_count":9,"area":"mllm"},{"id":"2604.27472","title":"PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations","created":"2026-04-30","cited_by_count":9,"area":"vla"},{"id":"2605.07308","title":"AT-VLA: Adaptive Tactile Injection for Enhanced Feedback Reaction in Vision-Language-Action Models","created":"2026-05-08","cited_by_count":9,"area":"vla"},{"id":"2605.08774","title":"ProcVLM: Learning Procedure-Grounded Progress Rewards for Robotic Manipulation","created":"2026-05-09","cited_by_count":9,"area":"alignment"},{"id":"2503.24070","title":"HACTS: a Human-As-Copilot Teleoperation System for Robot Learning","created":"2025-03-31","cited_by_count":8,"area":null},{"id":"2508.17230","title":"4D Visual Pre-training for Robot Learning","created":"2025-08-24","cited_by_count":8,"area":"diffusion"},{"id":"2509.14932","title":"Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale","created":"2025-09-18","cited_by_count":8,"area":"vla"},{"id":"2602.12322","title":"ForeAct: Steering Your VLA with Efficient Visual Foresight Planning","created":"2026-02-12","cited_by_count":8,"area":"vla"},{"id":"2603.12193","title":"SaPaVe: Towards Active Perception and Manipulation in Vision-Language-Action Models for Robotics","created":"2026-03-12","cited_by_count":8,"area":"vla"},{"id":"2604.05672","title":"A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model","created":"2026-04-07","cited_by_count":8,"area":"vla"},{"id":"2604.28192","title":"LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning","created":"2026-04-30","cited_by_count":8,"area":null},{"id":"2605.13403","title":"RotVLA: Rotational Latent Action for Vision-Language-Action Model","created":"2026-05-13","cited_by_count":8,"area":"vla"},{"id":"2605.21414","title":"PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction","created":"2026-05-20","cited_by_count":8,"area":"vla"},{"id":"2503.12466","title":"Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition","created":"2025-03-16","cited_by_count":7,"area":"diffusion"},{"id":"2505.18793","title":"Genie Centurion: Accelerating Scalable Real-World Robot Training with Human Rewind-and-Refine Guidance","created":"2025-05-24","cited_by_count":7,"area":"vla"},{"id":"2508.15201","title":"Survey of Vision-Language-Action Models for Embodied Manipulation","created":"2025-08-21","cited_by_count":7,"area":"vla"},{"id":"2602.09722","title":"Rethinking Visual-Language-Action Model Scaling: Alignment, Mixture, and Regularization","created":"2026-02-10","cited_by_count":7,"area":"vla"},{"id":"2606.14752","title":"X-Tokenizer: A Multimodal Action Tokenizer for Vision-Language-Action Pretraining","created":"2026-06-07","cited_by_count":7,"area":"vla"},{"id":"2607.06559","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","created":"2026-07-07","cited_by_count":7,"area":"wm"},{"id":"2608.09853","title":"RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance","created":"2026-08-10","cited_by_count":7,"area":"alignment"},{"id":"2506.05523","title":"MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning","created":"2025-06-05","cited_by_count":6,"area":"lr"},{"id":"2602.00919","title":"Green-VLA: Staged Vision-Language-Action Model for Generalist Robots","created":"2026-01-31","cited_by_count":6,"area":"vla"},{"id":"2605.28548","title":"GEM: Generative Supervision Helps Embodied Intelligence","created":"2026-05-27","cited_by_count":6,"area":"mllm"}],"next_cursor":"100"}