{"total":179,"rows":[{"id":"2603.22435","title":"CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation","created":"2026-03-23","cited_by_count":88,"area":"vla"},{"id":"2607.00272","title":"ASPIRE: Agentic /Skills Discovery for Robotics","created":"2026-06-30","cited_by_count":53,"area":"agents"},{"id":"2605.12090","title":"World Action Models: The Next Frontier in Embodied AI","created":"2026-05-12","cited_by_count":50,"area":"wm"},{"id":"2512.22539","title":"VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models","created":"2025-12-27","cited_by_count":31,"area":"vla"},{"id":"2604.04161","title":"Adaptive Action Chunking at Inference-time for Vision-Language-Action Models","created":"2026-04-05","cited_by_count":28,"area":"vla"},{"id":"2605.06481","title":"OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation","created":"2026-05-07","cited_by_count":28,"area":"wm"},{"id":"2604.09860","title":"RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies","created":"2026-04-10","cited_by_count":24,"area":null},{"id":"2603.08519","title":"AtomVLA: Scalable Post-Training for Robotic Manipulation via Predictive Latent World Models","created":"2026-03-09","cited_by_count":23,"area":"wm"},{"id":"2602.01067","title":"A Systematic Study of Data Modalities and Strategies for Co-training Large Behavior Models for Robot Manipulation","created":"2026-02-01","cited_by_count":22,"area":"vla"},{"id":"2602.06556","title":"LIBERO-X: Robustness Litmus for Vision-Language-Action Models","created":"2026-02-06","cited_by_count":22,"area":"vla"},{"id":"2606.19419","title":"Playful Agentic Robot Learning","created":"2026-06-17","cited_by_count":22,"area":"agents"},{"id":"2602.13193","title":"Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control","created":"2026-02-13","cited_by_count":20,"area":"lr"},{"id":"2606.16458","title":"RHO: Your Coding Agent is Secretly a Roboticist","created":"2026-06-15","cited_by_count":20,"area":"agents"},{"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":"2512.21970","title":"StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision","created":"2025-12-26","cited_by_count":18,"area":"vla"},{"id":"2603.22003","title":"VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models","created":"2026-03-23","cited_by_count":17,"area":"vla"},{"id":"2603.19183","title":"Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Models","created":"2026-03-19","cited_by_count":16,"area":"vla"},{"id":"2602.03973","title":"VLS: Steering Pretrained Robot Policies via Vision-Language Models","created":"2026-02-03","cited_by_count":15,"area":"mllm"},{"id":"2603.19233","title":"Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models","created":"2026-03-19","cited_by_count":15,"area":"vla"},{"id":"2601.04052","title":"Stable Language Guidance for Vision-Language-Action Models","created":"2026-01-07","cited_by_count":14,"area":"vla"},{"id":"2512.07472","title":"Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation","created":"2025-12-08","cited_by_count":13,"area":"vla"},{"id":"2604.23775","title":"Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms","created":"2026-04-26","cited_by_count":13,"area":"vla"},{"id":"2512.02902","title":"VLA Models Are More Generalizable Than You Think: Revisiting Physical and Spatial Modeling","created":"2025-12-02","cited_by_count":12,"area":"vla"},{"id":"2606.20781","title":"World Action Models: A Survey","created":"2026-06-18","cited_by_count":12,"area":"wm"},{"id":"2512.09619","title":"GLaD: Geometric Latent Distillation for Vision-Language-Action Models","created":"2025-12-10","cited_by_count":11,"area":"lr"},{"id":"2603.28301","title":"LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models","created":"2026-03-30","cited_by_count":11,"area":"vla"},{"id":"2602.18224","title":"SimVLA: A Simple VLA Baseline for Robotic Manipulation","created":"2026-02-20","cited_by_count":10,"area":"vla"},{"id":"2606.18363","title":"Guava: Distilling Frontier VLMs into a Compact Agent through a Robotic Manipulation Harness","created":"2026-06-16","cited_by_count":10,"area":null},{"id":"2606.23686","title":"LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models","created":"2026-06-22","cited_by_count":10,"area":"vla"},{"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":"2606.07687","title":"What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction","created":"2026-06-05","cited_by_count":9,"area":"wm"},{"id":"2604.23001","title":"Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines","created":"2026-04-24","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":"2603.13966","title":"vla-eval: A Unified Evaluation Harness for Vision-Language-Action Models","created":"2026-03-14","cited_by_count":7,"area":"vla"},{"id":"2603.25038","title":"$\\pi$, But Make It Fly: Physics-Guided Transfer of VLA Models to Aerial Manipulation","created":"2026-03-26","cited_by_count":7,"area":"vla"},{"id":"2608.03924","title":"ETA: A New Agentic Paradigm for Embodied Tasks","created":"2026-08-04","cited_by_count":7,"area":"agents"},{"id":"2602.01662","title":"PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation","created":"2026-02-02","cited_by_count":6,"area":"lr"},{"id":"2603.00592","title":"LangGap: Diagnosing and Closing the Language Gap in Vision-Language-Action Models","created":"2026-02-28","cited_by_count":6,"area":"vla"},{"id":"2603.07892","title":"RoboRouter: Training-Free Policy Routing for Robotic Manipulation","created":"2026-03-09","cited_by_count":6,"area":"vla"},{"id":"2604.23121","title":"Breaking Lock-In: Preserving Steerability under Low-Data VLA Post-Training","created":"2026-04-25","cited_by_count":6,"area":"vla"},{"id":"2607.13429","title":"Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment","created":"2026-07-15","cited_by_count":6,"area":"mllm"},{"id":"2603.28545","title":"ManipArena: Comprehensive Real-world Evaluation of Reasoning-Oriented Generalist Robot Manipulation","created":"2026-03-30","cited_by_count":5,"area":"wm"},{"id":"2606.12366","title":"APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies","created":"2026-06-10","cited_by_count":5,"area":"mllm"},{"id":"2606.13675","title":"Improving Robotic Generalist Policies via Flow Reversal Steering","created":"2026-06-11","cited_by_count":5,"area":"vla"},{"id":"2608.16889","title":"Don't Drop the BATON: Long-Horizon Robot Manipulation via Agentic Subtask Exploration and Transition-aware Memory","created":"2026-08-17","cited_by_count":5,"area":"agents"},{"id":"2609.29166","title":"HarnessPAI: An Evolving Harness for Physical AI","created":"2026-09-24","cited_by_count":5,"area":null},{"id":"2602.04208","title":"SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models","created":"2026-02-04","cited_by_count":4,"area":"lr"},{"id":"2606.08094","title":"vla.cpp: A Unified Inference Runtime for Vision-Language-Action Models","created":"2026-06-06","cited_by_count":4,"area":"vla"},{"id":"2608.11671","title":"StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models","created":"2026-08-12","cited_by_count":4,"area":"vla"},{"id":"2610.01939","title":"Fewer Tokens, Better Action: GPT-6 Astra Robot Agents with 14% Higher Success Rate but 65% Fewer Tokens","created":"2026-10-01","cited_by_count":4,"area":"mllm"},{"id":"2603.24060","title":"RoboHarness: A Memory-Augmented Policy Harness for Vision-Language-Action Model Robustness via In-Context Adaptation","created":"2026-03-25","cited_by_count":3,"area":"vla"},{"id":"2605.07943","title":"TAVIS: A Benchmark for Egocentric Active Vision and Anticipatory Gaze in Imitation Learning","created":"2026-05-08","cited_by_count":3,"area":"offlinerl"},{"id":"2605.12236","title":"TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning","created":"2026-05-12","cited_by_count":3,"area":"offlinerl"},{"id":"2606.05737","title":"Let It Be Simple: One-Step Action Generation for Vision-Language-Action Models","created":"2026-06-04","cited_by_count":3,"area":"vla"},{"id":"2606.10862","title":"LIBERO-Occ: Evaluating and Improving Vision-Language-Action Models under Scene-Induced Occlusion via Viewpoint Imagination","created":"2026-06-09","cited_by_count":3,"area":"vla"},{"id":"2607.00351","title":"Unleashing More Actions via Action Compositional Training for VLA Models","created":"2026-07-01","cited_by_count":3,"area":"vla"},{"id":"2607.08127","title":"Understanding and Mitigating the Video-Action Generalization Gap via Temporal Ratio","created":"2026-07-09","cited_by_count":3,"area":"wm"},{"id":"2608.03483","title":"Continue or Replan? Bernoulli-Continuation Policy Learning for Adaptive Horizon Execution","created":"2026-08-04","cited_by_count":3,"area":"vla"},{"id":"2608.06332","title":"GeniWorld: A Generalizable Interactive World Model for Robotic Manipulation via Visual Actions","created":"2026-08-06","cited_by_count":3,"area":"wm"},{"id":"2608.13474","title":"Decoding Task Progress from VLA Representations","created":"2026-08-13","cited_by_count":3,"area":"vla"},{"id":"2609.03715","title":"MINERVA: How Small Can a Manipulation Policy Be and Still Solve LIBERO?","created":"2026-09-03","cited_by_count":3,"area":"vla"},{"id":"2609.29389","title":"Robo-Harness K1: Harnessing Robot-Use Agents via Perception Augmentation","created":"2026-09-24","cited_by_count":3,"area":"mllm"},{"id":"2609.29394","title":"RACaP: Agentic Reasoning, Acting, and Coding as Policies for Evolvable Robot Learning","created":"2026-09-24","cited_by_count":3,"area":"agents"},{"id":"2603.24584","title":"TAG: Target-Agnostic Guidance for Stable Object-Centric Inference in Vision-Language-Action Models","created":"2026-03-25","cited_by_count":2,"area":"vla"},{"id":"2604.05595","title":"Uncovering Linguistic Fragility in Vision-Language-Action Models via Diversity-Aware Red Teaming","created":"2026-04-07","cited_by_count":2,"area":"vla"},{"id":"2604.18000","title":"Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models","created":"2026-04-20","cited_by_count":2,"area":"vla"},{"id":"2605.02757","title":"Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation","created":"2026-05-04","cited_by_count":2,"area":"vla"},{"id":"2605.24890","title":"QuoVLA: Quotient Space for Vision-Language-Action Models","created":"2026-05-24","cited_by_count":2,"area":"mllm"},{"id":"2606.00229","title":"Continuous Reasoning for Vision-Language-Action","created":"2026-05-29","cited_by_count":2,"area":"lr"},{"id":"2606.11901","title":"DuoBench: A Reproducible Benchmark for Bimanual Manipulation in Simulation and the Real World","created":"2026-06-10","cited_by_count":2,"area":null},{"id":"2606.26443","title":"WatchAct: A Benchmark for Behavior-Grounded Robot Manipulation","created":"2026-06-24","cited_by_count":2,"area":null},{"id":"2606.27663","title":"Direct Action-Head Injection of A Grounded 3D Point Unlocks Spatial and Task Generalization","created":"2026-06-26","cited_by_count":2,"area":"mllm"},{"id":"2606.30613","title":"Sequential Planning via Anchored Robotic Keypoints","created":"2026-06-29","cited_by_count":2,"area":"vla"},{"id":"2607.10504","title":"SUREFlow: State-space Uncertainty-aware REsidual Flow Matching for Robust Robot Manipulation","created":"2026-07-11","cited_by_count":2,"area":"vla"},{"id":"2607.18580","title":"STeP: Signal Temporal Logic for Precise Specifications for Action Generation with Vision Language Models","created":"2026-07-20","cited_by_count":2,"area":"mllm"},{"id":"2608.04396","title":"CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention","created":"2026-08-05","cited_by_count":2,"area":"vla"},{"id":"2608.07555","title":"You Don't Need To Stay in The Loop: An Agentic Robotics Loop for Robot-Policy Improvement","created":"2026-08-02","cited_by_count":2,"area":"agents"},{"id":"2608.24101","title":"TrAct: Bridging Robot Control and Visual Prediction with Visual Tracks","created":"2026-08-25","cited_by_count":2,"area":"wm"},{"id":"2609.15940","title":"Beyond Single-Axis Testing: Paired Evaluation of Compound Robustness in Vision-Language-Action Policies","created":"2026-09-14","cited_by_count":2,"area":"vla"},{"id":"2609.29964","title":"World Action Agent: Harnessing VLMs for Robot Manipulation via World Action Rehearsal","created":"2026-09-24","cited_by_count":2,"area":"lr"},{"id":"2609.30249","title":"RAPID: Robot Agentic Programming from Demonstrations","created":"2026-09-24","cited_by_count":2,"area":"agents"},{"id":"2610.10498","title":"EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution","created":"2026-10-07","cited_by_count":2,"area":null},{"id":"2604.11751","title":"Grounded World Model for Semantically Generalizable Planning","created":"2026-04-13","cited_by_count":1,"area":"wm"},{"id":"2604.22591","title":"RedVLA: Physical Red Teaming for Vision-Language-Action Models","created":"2026-04-24","cited_by_count":1,"area":"vla"},{"id":"2605.11205","title":"The Scaling Law of Evaluation Failure: Why Simple Averaging Collapses Under Data Sparsity and Item Difficulty Gaps, and How Item Response Theory Recovers Ground Truth Across Domains","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2605.29605","title":"VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models","created":"2026-05-28","cited_by_count":1,"area":"vla"},{"id":"2606.07217","title":"Robotic Policy Adaptation via Weight-Space Meta-Learning","created":"2026-06-05","cited_by_count":1,"area":"vla"},{"id":"2606.15568","title":"SAPS: Shared Autonomy for Policy Steering by Blending Teleoperation with a Pretrained VLA","created":"2026-06-14","cited_by_count":1,"area":"vla"},{"id":"2606.16826","title":"ATOM-Bench: A Real-World Benchmark for Atomic Skills and Compositional Generalization in Manipulation Policies","created":"2026-06-15","cited_by_count":1,"area":null},{"id":"2606.20118","title":"Pose6DAug: Physically Plausible Multi-view Object Swapping for Robot Data Augmentation","created":"2026-06-18","cited_by_count":1,"area":"vla"},{"id":"2606.21496","title":"Decoupling the Declarative from the Procedural in Vision-Language-Action Models","created":"2026-06-19","cited_by_count":1,"area":"vla"},{"id":"2606.23641","title":"Flatness Preserves Instruction Following in Vision-Language-Action Models","created":"2026-06-22","cited_by_count":1,"area":"vla"},{"id":"2607.14698","title":"Lights, Camera, Malfunction: When Illumination Robustness Leaves VLA Models Blind to Color","created":"2026-07-16","cited_by_count":1,"area":"vla"},{"id":"2608.01755","title":"Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs","created":"2026-08-03","cited_by_count":1,"area":"lr"},{"id":"2608.11363","title":"Adaptation of Generalist Robot Policies with Minimal Data","created":"2026-08-11","cited_by_count":1,"area":"vla"},{"id":"2608.21740","title":"CounterAlign: Counterfactual Supervision for Vision-Language-Action Models","created":"2026-08-22","cited_by_count":1,"area":"vla"},{"id":"2608.24959","title":"GaussVLA: Geometry-Aware Spatial Reasoning for Vision-Language-Action Model","created":"2026-08-25","cited_by_count":1,"area":"lr"},{"id":"2609.05178","title":"LIBERO-RECOVER: Beyond Task Success Towards Failure Recovery in Robotic Manipulation Models","created":"2026-09-04","cited_by_count":1,"area":"vla"},{"id":"2609.05324","title":"RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?","created":"2026-09-04","cited_by_count":1,"area":"vla"},{"id":"2609.24350","title":"LIBERO-VPro: Benchmarking Closed-Loop Visual Robustness of Robotic Foundation Models","created":"2026-09-21","cited_by_count":1,"area":null}],"next_cursor":"100"}