{"total":99,"rows":[{"id":"2212.08051","title":"Objaverse: A Universe of Annotated 3D Objects","created":"2022-12-15","cited_by_count":1540,"area":null},{"id":"2110.04994","title":"Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans","created":"2021-10-11","cited_by_count":336,"area":null},{"id":"2301.04195","title":"Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments","created":"2023-01-10","cited_by_count":295,"area":null},{"id":"2107.04649","title":"Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization","created":"2021-07-09","cited_by_count":249,"area":null},{"id":"2410.00425","title":"ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI","created":"2024-10-01","cited_by_count":229,"area":null},{"id":"2108.05877","title":"DexMV: Imitation Learning for Dexterous Manipulation from Human Videos","created":"2021-08-12","cited_by_count":206,"area":"offlinerl"},{"id":"2303.12538","title":"Affordance Diffusion: Synthesizing Hand-Object Interactions","created":"2023-03-21","cited_by_count":110,"area":"diffusion"},{"id":"2108.00516","title":"BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models","created":"2021-08-01","cited_by_count":87,"area":null},{"id":"2204.12490","title":"From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation","created":"2022-04-26","cited_by_count":82,"area":"offlinerl"},{"id":"2110.06192","title":"Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes","created":"2021-10-12","cited_by_count":71,"area":null},{"id":"2401.17807","title":"Advances in 3D Generation: A Survey","created":"2024-01-31","cited_by_count":63,"area":null},{"id":"2402.16117","title":"RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis","created":"2024-02-25","cited_by_count":58,"area":null},{"id":"2301.08556","title":"NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis","created":"2023-01-18","cited_by_count":57,"area":"offlinerl"},{"id":"2504.18904","title":"RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning","created":"2025-04-26","cited_by_count":54,"area":"offlinerl"},{"id":"2212.10428","title":"HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios","created":"2022-12-20","cited_by_count":53,"area":null},{"id":"2302.02011","title":"Zero-Shot Robot Manipulation from Passive Human Videos","created":"2023-02-03","cited_by_count":51,"area":null},{"id":"2503.24278","title":"AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World","created":"2025-03-31","cited_by_count":48,"area":null},{"id":"2205.08811","title":"PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects","created":"2022-05-18","cited_by_count":45,"area":null},{"id":"2412.14957","title":"Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination","created":"2024-12-19","cited_by_count":45,"area":"wm"},{"id":"2109.10115","title":"StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation","created":"2021-09-21","cited_by_count":40,"area":null},{"id":"2307.03135","title":"Distilling Large Vision-Language Model with Out-of-Distribution Generalizability","created":"2023-07-06","cited_by_count":33,"area":"mllm"},{"id":"2512.16881","title":"PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies","created":"2025-12-18","cited_by_count":33,"area":null},{"id":"2210.07442","title":"Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds","created":"2022-10-14","cited_by_count":32,"area":null},{"id":"2106.03805","title":"3DB: A Framework for Debugging Computer Vision Models","created":"2021-06-07","cited_by_count":31,"area":null},{"id":"2406.06843","title":"HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction","created":"2024-06-10","cited_by_count":29,"area":null},{"id":"2207.11368","title":"Neural-Sim: Learning to Generate Training Data with NeRF","created":"2022-07-22","cited_by_count":27,"area":null},{"id":"2402.14623","title":"RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation","created":"2024-02-22","cited_by_count":26,"area":null},{"id":"2503.12763","title":"A Survey on Human Interaction Motion Generation","created":"2025-03-17","cited_by_count":25,"area":null},{"id":"2307.15690","title":"Benchmarking Offline Reinforcement Learning on Real-Robot Hardware","created":"2023-07-28","cited_by_count":23,"area":"offlinerl"},{"id":"2310.16838","title":"SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation","created":"2023-10-25","cited_by_count":22,"area":"distill"},{"id":"2411.01200","title":"GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation","created":"2024-11-02","cited_by_count":22,"area":"deeprl"},{"id":"2412.13211","title":"ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks","created":"2024-12-09","cited_by_count":22,"area":null},{"id":"2406.05572","title":"Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction","created":"2024-06-08","cited_by_count":19,"area":null},{"id":"2502.02562","title":"Learning the RoPEs: Better 2D and 3D Position Encodings with STRING","created":"2025-02-04","cited_by_count":19,"area":null},{"id":"2303.14152","title":"Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts","created":"2023-03-24","cited_by_count":18,"area":null},{"id":"2309.10748","title":"SHOWMe: Benchmarking Object-agnostic Hand-Object 3D Reconstruction","created":"2023-09-19","cited_by_count":16,"area":null},{"id":"2210.11718","title":"CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers","created":"2022-10-21","cited_by_count":15,"area":null},{"id":"2602.15828","title":"Dex4D: Task-Agnostic Point Track Policy for Zero-Shot Dexterous Manipulation","created":"2026-02-17","cited_by_count":14,"area":null},{"id":"2401.02281","title":"PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset Generation","created":"2024-01-04","cited_by_count":13,"area":null},{"id":"2307.00206","title":"Rearrangement Planning for General Part Assembly","created":"2023-07-01","cited_by_count":12,"area":null},{"id":"2307.03073","title":"Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning","created":"2023-07-06","cited_by_count":12,"area":"mllm"},{"id":"2310.08745","title":"AcTExplore: Active Tactile Exploration of Unknown Objects","created":"2023-10-12","cited_by_count":12,"area":null},{"id":"2303.09165","title":"A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation","created":"2023-03-16","cited_by_count":11,"area":null},{"id":"2404.08844","title":"ContactDexNet: Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping","created":"2024-04-12","cited_by_count":11,"area":null},{"id":"2203.02069","title":"Sim2Real Instance-Level Style Transfer for 6D Pose Estimation","created":"2022-03-03","cited_by_count":10,"area":null},{"id":"2306.08748","title":"Multi-Object Manipulation via Object-Centric Neural Scattering Functions","created":"2023-06-14","cited_by_count":9,"area":null},{"id":"2310.04517","title":"Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets","created":"2023-10-06","cited_by_count":9,"area":null},{"id":"2312.06686","title":"Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset","created":"2023-12-09","cited_by_count":9,"area":null},{"id":"2410.05191","title":"LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation","created":"2024-10-07","cited_by_count":9,"area":"mllm"},{"id":"2602.18735","title":"LaS-Comp: Zero-shot 3D Completion with Latent-Spatial Consistency","created":"2026-02-21","cited_by_count":9,"area":null},{"id":"2106.08497","title":"GKNet: grasp keypoint network for grasp candidates detection","created":"2021-06-16","cited_by_count":8,"area":null},{"id":"2207.03333","title":"FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments","created":"2022-07-06","cited_by_count":8,"area":null},{"id":"2211.09382","title":"Planning Irregular Object Packing via Hierarchical Reinforcement Learning","created":"2022-11-17","cited_by_count":8,"area":null},{"id":"2408.08282","title":"Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model","created":"2024-08-15","cited_by_count":8,"area":null},{"id":"2304.12958","title":"A Closer Look at Reward Decomposition for High-Level Robotic Explanations","created":"2023-04-25","cited_by_count":7,"area":null},{"id":"2305.16378","title":"Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark","created":"2023-05-25","cited_by_count":7,"area":null},{"id":"2105.10396","title":"Language Understanding for Field and Service Robots in a Priori Unknown Environments","created":"2021-05-21","cited_by_count":6,"area":null},{"id":"2308.05483","title":"Quality Diversity under Sparse Reward and Sparse Interaction: Application to Grasping in Robotics","created":"2023-08-10","cited_by_count":6,"area":null},{"id":"2404.13923","title":"MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assets","created":"2024-04-22","cited_by_count":6,"area":"diffusion"},{"id":"2203.02767","title":"Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking","created":"2022-03-05","cited_by_count":5,"area":null},{"id":"2208.03496","title":"Smart Explorer: Recognizing Objects in Dense Clutter via Interactive Exploration","created":"2022-08-06","cited_by_count":5,"area":null},{"id":"2306.07392","title":"Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering","created":"2023-06-12","cited_by_count":5,"area":null},{"id":"2311.02749","title":"Fast Point Cloud to Mesh Reconstruction for Deformable Object Tracking","created":"2023-11-05","cited_by_count":5,"area":null},{"id":"2503.10110","title":"IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models","created":"2025-03-13","cited_by_count":5,"area":"mllm"},{"id":"2511.22780","title":"Distracted Robot: How Visual Clutter Undermine Robotic Manipulation","created":"2025-11-27","cited_by_count":5,"area":null},{"id":"2403.06173","title":"Speeding up 6-DoF Grasp Sampling with Quality-Diversity","created":"2024-03-10","cited_by_count":4,"area":null},{"id":"2112.04910","title":"Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings","created":"2021-12-09","cited_by_count":3,"area":null},{"id":"2209.10003","title":"Macro-Action-Based Multi-Agent/Robot Deep Reinforcement Learning under Partial Observability","created":"2022-09-20","cited_by_count":2,"area":null},{"id":"2310.04349","title":"Toward a Plug-and-Play Vision-Based Grasping Module for Robotics","created":"2023-10-06","cited_by_count":2,"area":null},{"id":"2403.05466","title":"Grasping Trajectory Optimization with Point Clouds","created":"2024-03-08","cited_by_count":2,"area":null},{"id":"2409.08351","title":"Bayesian Inverse Graphics for Few-Shot Concept Learning","created":"2024-09-12","cited_by_count":2,"area":null},{"id":"2410.02319","title":"QDGset: A Large Scale Grasping Dataset Generated with Quality-Diversity","created":"2024-10-03","cited_by_count":2,"area":null},{"id":"2502.17265","title":"Continuous Wrist Control on the Hannes Prosthesis: a Vision-based Shared Autonomy Framework","created":"2025-02-24","cited_by_count":2,"area":null},{"id":"2203.00384","title":"Data-efficient learning of object-centric grasp preferences","created":"2022-03-01","cited_by_count":1,"area":null},{"id":"2208.11079","title":"Robot Active Neural Sensing and Planning in Unknown Cluttered Environments","created":"2022-08-23","cited_by_count":1,"area":null},{"id":"2210.07887","title":"E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories","created":"2022-10-14","cited_by_count":1,"area":null},{"id":"2302.11983","title":"Category-level Shape Estimation for Densely Cluttered Objects","created":"2023-02-23","cited_by_count":1,"area":null},{"id":"2310.01404","title":"H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation","created":"2023-10-02","cited_by_count":1,"area":null},{"id":"2502.20606","title":"Map Space Belief Prediction for Manipulation-Enhanced Mapping","created":"2025-02-28","cited_by_count":1,"area":null},{"id":"2504.20969","title":"XPG-RL: Reinforcement Learning with Explainable Priority Guidance for Efficiency-Boosted Mechanical Search","created":"2025-04-29","cited_by_count":1,"area":"deeprl"},{"id":"2512.05953","title":"Correspondence-Oriented Imitation Learning: Flexible Visuomotor Control with 3D Conditioning","created":"2025-12-05","cited_by_count":1,"area":"offlinerl"},{"id":"2607.21071","title":"TransBiolab: A Real-World Multi-View Dataset of Cluttered Transparent Biomedical Objects","created":"2026-07-23","cited_by_count":1,"area":null},{"id":"2107.02069","title":"SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences","created":"2021-07-05","cited_by_count":0,"area":null},{"id":"2111.07986","title":"Nonprehensile Riemannian Motion Predictive Control","created":"2021-11-15","cited_by_count":0,"area":null},{"id":"2211.13572","title":"Physics-Based Object 6D-Pose Estimation during Non-Prehensile Manipulation","created":"2022-11-24","cited_by_count":0,"area":null},{"id":"2305.05778","title":"Multi-Object Self-Supervised Depth Denoising","created":"2023-05-09","cited_by_count":0,"area":null},{"id":"2305.10580","title":"Sim-MEES: Modular End-Effector System Grasping Dataset for Mobile Manipulators in Cluttered Environments","created":"2023-05-17","cited_by_count":0,"area":null},{"id":"2404.03067","title":"Self-supervised 6-DoF Robot Grasping by Demonstration via Augmented Reality Teleoperation System","created":"2024-04-03","cited_by_count":0,"area":null},{"id":"2412.10977","title":"Point Cloud to Mesh Reconstruction: Methods, Trade-offs, and Implementation Guide","created":"2024-12-14","cited_by_count":0,"area":null},{"id":"2506.22678","title":"3D Shape Generation: A Survey","created":"2025-06-27","cited_by_count":0,"area":null},{"id":"2509.11680","title":"IMD: A 6-DoF Pose Estimation Benchmark for Industrial Metallic Objects","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2509.20550","title":"GraspFactory: A Large Object-Centric Grasping Dataset","created":"2025-09-24","cited_by_count":0,"area":null},{"id":"2510.09267","title":"Placeit! A Framework for Learning Robot Object Placement Skills","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2512.22979","title":"PoseStreamer: A Multi-modal Framework for 3D Tracking of Unseen Moving Objects","created":"2025-12-28","cited_by_count":0,"area":null},{"id":"2602.13837","title":"A Causal Diffusion Model for Video Reconstruction from Ultra-Low-Bitrate Representations","created":"2026-02-14","cited_by_count":0,"area":"diffusion"},{"id":"2607.14341","title":"Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.26053","title":"$R^3$: Training Robots to Reason in Natural Language via Reinforcement Learning","created":"2026-08-26","cited_by_count":0,"area":"lr"},{"id":"2609.33982","title":"Test-Time Spatial Reasoning for Robot Manipulation Using Generative Real-to-Sim","created":"2026-09-27","cited_by_count":0,"area":"lr"},{"id":"2610.11221","title":"How Firm Should a Grasp Be?","created":"2026-10-08","cited_by_count":0,"area":null}],"next_cursor":null}