{"total":15,"rows":[{"id":"2607.04434","title":"RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies","created":"2026-07-05","cited_by_count":40,"area":null},{"id":"2607.08639","title":"Native Video-Action Pretraining for Generalizable Robot Control","created":"2026-07-09","cited_by_count":36,"area":null},{"id":"2605.06747","title":"HumanNet: Scaling Human-centric Video Learning to One Million Hours","created":"2026-05-07","cited_by_count":11,"area":null},{"id":"2605.15153","title":"Pelican-Unify 1.0: A Unified Embodied Intelligence Model for Understanding, Reasoning, Imagination and Action","created":"2026-05-14","cited_by_count":8,"area":null},{"id":"2607.24744","title":"Data Pyramid for Embodied Manipulation: A Survey","created":"2026-07-27","cited_by_count":6,"area":null},{"id":"2607.25895","title":"HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone","created":"2026-07-28","cited_by_count":4,"area":null},{"id":"2606.20521","title":"HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining","created":"2026-06-18","cited_by_count":3,"area":null},{"id":"2606.27153","title":"DMuon: Efficient Distributed Muon Training with Near-Adam Overhead","created":"2026-06-25","cited_by_count":3,"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":"2606.29941","title":"Seeing Touch from Motion: A Unified Modality-Aware Visuo-Tactile Policy with Tactile Motion Correlation","created":"2026-06-29","cited_by_count":2,"area":null},{"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":"2606.28133","title":"Translation as a Bridging Action: Transferring Manipulation Skills from Humans to Robots","created":"2026-06-26","cited_by_count":1,"area":null},{"id":"2609.18514","title":"ActiveScale: Scaling Active Perception for Robots across Model, Data, and Hardware","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2609.36808","title":"Spotter: Let the Embodied Model Lead, and the VLM Reflect for It","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38059","title":"WorldLine: Action-Driven Visual Simulation for Robotic Manipulation","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}