{"total":43,"rows":[{"id":"2604.15483","title":"${\\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities","created":"2026-04-16","cited_by_count":138,"area":null},{"id":"2602.09021","title":"$\\chi_{0}$: Resource-Aware Robust Manipulation via Taming Distributional Inconsistencies","created":"2026-02-09","cited_by_count":12,"area":null},{"id":"2603.13528","title":"Learning Actionable Manipulation Recovery via Counterfactual Failure Synthesis","created":"2026-03-13","cited_by_count":10,"area":null},{"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":"2605.25547","title":"TapSampling: Inference-Time Sampling with a Task-Progress-Understanding Verifier for Robotic Manipulation","created":"2026-05-25","cited_by_count":5,"area":null},{"id":"2607.01111","title":"FAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement","created":"2026-07-01","cited_by_count":5,"area":null},{"id":"2608.21204","title":"Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning","created":"2026-08-21","cited_by_count":5,"area":null},{"id":"2609.29166","title":"HarnessPAI: An Evolving Harness for Physical AI","created":"2026-09-24","cited_by_count":5,"area":null},{"id":"2512.00062","title":"SpeedAug: Policy Acceleration via Tempo-Enriched Policy and RL Fine-Tuning","created":"2025-11-24","cited_by_count":4,"area":null},{"id":"2602.09580","title":"SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows","created":"2026-02-10","cited_by_count":3,"area":null},{"id":"2608.04196","title":"SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation","created":"2026-08-04","cited_by_count":3,"area":null},{"id":"2603.02854","title":"CoFL: Continuous Flow Fields for Language-Conditioned Navigation","created":"2026-03-03","cited_by_count":2,"area":null},{"id":"2606.06627","title":"What Matters When Cotraining Robot Manipulation Policies on Everyday Human Videos?","created":"2026-06-04","cited_by_count":2,"area":null},{"id":"2606.14218","title":"Universal Manipulation Exoskeleton: Learning Compliant Whole-body Policies with Real-time Torque Feedback","created":"2026-06-12","cited_by_count":2,"area":null},{"id":"2606.21406","title":"Robot Self-Improvement via Human-Video Dynamics Models","created":"2026-06-19","cited_by_count":2,"area":null},{"id":"2609.01596","title":"Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation","created":"2026-09-01","cited_by_count":2,"area":null},{"id":"2603.18331","title":"Understanding the Theoretical Foundations of Deep Neural Networks through Differential Equations","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2605.00333","title":"Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B","created":"2026-05-01","cited_by_count":1,"area":null},{"id":"2605.18617","title":"ManiSoft: Towards Vision-Language Manipulation for Soft Continuum Robotics","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2606.17043","title":"Hierarchical Advantage Weighting for Online RL Fine-Tuning of VLAs from Sparse Episode Outcomes","created":"2026-06-15","cited_by_count":1,"area":null},{"id":"2606.17520","title":"GASE: Gaussian Splatting-Based Automated System for Reconstructing Embodied-Simulation Environments","created":"2026-06-16","cited_by_count":1,"area":null},{"id":"2606.32027","title":"Freeform Preference Learning for Robotic Manipulation","created":"2026-06-30","cited_by_count":1,"area":null},{"id":"2607.12892","title":"UR-VC: Unsupervised Robotic Value Correction for Time-Derived Progress Proxies","created":"2026-07-14","cited_by_count":1,"area":null},{"id":"2607.29172","title":"CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning","created":"2026-07-31","cited_by_count":1,"area":null},{"id":"2609.36012","title":"In-Context Learning for Robots: Methods and Applications","created":"2026-09-28","cited_by_count":1,"area":null},{"id":"2601.18963","title":"Fauna Sprout: A lightweight, approachable, developer-ready humanoid robot","created":"2026-01-26","cited_by_count":0,"area":null},{"id":"2603.12751","title":"Show, Don't Tell: Detecting Novel Objects by Watching Human Videos","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2605.11479","title":"Offline Policy Evaluation for Manipulation Policies via Discounted Liveness Formulation","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2606.00145","title":"Completion at the Boundary (CaB): Deployable Switching with Completion-Aware Control under Limited Calibration","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.03385","title":"Grasp-Then-Plan with Failure Attribution: A Closed Two-Stage Framework for Precise and Generalizable Robotic Manipulation","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2606.27163","title":"Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)","created":"2026-06-25","cited_by_count":0,"area":null},{"id":"2607.02338","title":"HNSW with Accuracy Guarantees Using Graph Spanners","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.05869","title":"GraspIT: A Dataset Bridging the Sim-to-Real gap and back for Validated Grasping SE(3) Pose Generation","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.11377","title":"A Glimpse into Long-term Physical Coexistence with Intelligent Robots","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.18236","title":"Patch Policy: Efficient Embodied Control via Dense Visual Representations","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2607.22877","title":"Towards Trustworthy Physical Intelligence: From Theory to Practice Across Life Cycle","created":"2026-07-24","cited_by_count":0,"area":null},{"id":"2608.25757","title":"LM-X: Explainable Vision--Language--Action Modeling via Progress, Event, and Uncertainty Prediction","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.09250","title":"No Free Checker: A Survey of Verifiers for Robot Policies","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.23997","title":"RoboTalk: Learning Multi-Robot Communication and Coordination from Multimodal Demonstrations","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.33872","title":"Robot-GST: geometry-aware spatial-temporal robot policy representation and evaluation","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.38178","title":"Skill-Space Shooting for Autonomous Robot Policy Improvement","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.17208","title":"DexNinja: Learning Robust Dexterous Cutting Policy with a Real-to-Sim-to-Real Data Engine","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.20607","title":"Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}