{"total":20,"rows":[{"id":"2405.05941","title":"Evaluating Real-World Robot Manipulation Policies in Simulation","created":"2024-05-09","cited_by_count":495,"area":null},{"id":"2309.01918","title":"RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking","created":"2023-09-05","cited_by_count":169,"area":null},{"id":"2207.09450","title":"Human-to-Robot Imitation in the Wild","created":"2022-07-19","cited_by_count":161,"area":null},{"id":"2212.04498","title":"VideoDex: Learning Dexterity from Internet Videos","created":"2022-12-08","cited_by_count":106,"area":null},{"id":"2306.11565","title":"HomeRobot: Open-Vocabulary Mobile Manipulation","created":"2023-06-20","cited_by_count":106,"area":null},{"id":"2309.06440","title":"LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning","created":"2023-09-12","cited_by_count":79,"area":null},{"id":"2305.05706","title":"DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects","created":"2023-05-09","cited_by_count":66,"area":null},{"id":"2506.18123","title":"RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies","created":"2025-06-22","cited_by_count":64,"area":null},{"id":"2306.00942","title":"Train Offline, Test Online: A Real Robot Learning Benchmark","created":"2023-06-01","cited_by_count":47,"area":null},{"id":"2407.18911","title":"HRP: Human Affordances for Robotic Pre-Training","created":"2024-07-26","cited_by_count":44,"area":null},{"id":"2310.09289","title":"An Unbiased Look at Datasets for Visuo-Motor Pre-Training","created":"2023-10-13","cited_by_count":42,"area":null},{"id":"2407.00278","title":"PerAct2: Benchmarking and Learning for Robotic Bimanual Manipulation Tasks","created":"2024-06-29","cited_by_count":37,"area":null},{"id":"2507.00435","title":"RoboEval: Where Robotic Manipulation Meets Structured and Scalable Evaluation","created":"2025-07-01","cited_by_count":32,"area":null},{"id":"2511.04665","title":"Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions","created":"2025-11-06","cited_by_count":30,"area":null},{"id":"2410.17246","title":"Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins","created":"2024-10-22","cited_by_count":12,"area":null},{"id":"2306.15620","title":"SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes","created":"2023-06-27","cited_by_count":9,"area":null},{"id":"2407.06939","title":"Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge","created":"2024-07-09","cited_by_count":9,"area":null},{"id":"2210.11262","title":"RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control","created":"2022-10-20","cited_by_count":5,"area":null},{"id":"2505.12748","title":"TeleOpBench: A Simulator-Centric Benchmark for Dual-Arm Dexterous Teleoperation","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2609.06930","title":"Distributed Dexterous Manipulation with Spatially Conditioned Multi-Agent Transformers","created":"2026-09-07","cited_by_count":0,"area":null}],"next_cursor":null}