{"total":64,"rows":[{"id":"2209.05451","title":"Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation","created":"2022-09-12","cited_by_count":551,"area":null},{"id":"2210.03109","title":"Real-World Robot Learning with Masked Visual Pre-training","created":"2022-10-06","cited_by_count":245,"area":null},{"id":"2306.14896","title":"RVT: Robotic View Transformer for 3D Object Manipulation","created":"2023-06-26","cited_by_count":225,"area":null},{"id":"2302.12766","title":"Language-Driven Representation Learning for Robotics","created":"2023-02-24","cited_by_count":165,"area":null},{"id":"2306.17817","title":"Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation","created":"2023-06-30","cited_by_count":138,"area":null},{"id":"2406.08545","title":"RVT-2: Learning Precise Manipulation from Few Demonstrations","created":"2024-06-12","cited_by_count":137,"area":null},{"id":"2402.08191","title":"THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation","created":"2024-02-13","cited_by_count":133,"area":null},{"id":"2403.08321","title":"ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation","created":"2024-03-13","cited_by_count":108,"area":null},{"id":"2308.16891","title":"GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields","created":"2023-08-31","cited_by_count":99,"area":null},{"id":"2209.04899","title":"Instruction-driven history-aware policies for robotic manipulations","created":"2022-09-11","cited_by_count":94,"area":null},{"id":"2309.15596","title":"PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation","created":"2023-09-27","cited_by_count":56,"area":null},{"id":"2405.01534","title":"Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks","created":"2024-05-02","cited_by_count":52,"area":null},{"id":"2201.07779","title":"Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation","created":"2022-01-19","cited_by_count":49,"area":null},{"id":"2302.14435","title":"ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with Missing Part Sensitive Transformer","created":"2023-02-28","cited_by_count":43,"area":null},{"id":"2410.01345","title":"Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy","created":"2024-10-02","cited_by_count":38,"area":null},{"id":"2401.12046","title":"Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D","created":"2024-01-22","cited_by_count":33,"area":null},{"id":"2503.08950","title":"FP3: A 3D Foundation Policy for Robotic Manipulation","created":"2025-03-11","cited_by_count":32,"area":null},{"id":"2407.07788","title":"BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark","created":"2024-07-10","cited_by_count":30,"area":null},{"id":"2307.04751","title":"Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement","created":"2023-07-10","cited_by_count":29,"area":null},{"id":"2306.13818","title":"AR2-D2:Training a Robot Without a Robot","created":"2023-06-23","cited_by_count":27,"area":null},{"id":"2410.03132","title":"Autoregressive Action Sequence Learning for Robotic Manipulation","created":"2024-10-04","cited_by_count":27,"area":null},{"id":"2502.13142","title":"Pre-training Auto-regressive Robotic Models with 4D Representations","created":"2025-02-18","cited_by_count":27,"area":null},{"id":"2404.01491","title":"SUGAR: Pre-training 3D Visual Representations for Robotics","created":"2024-04-01","cited_by_count":26,"area":null},{"id":"2403.04115","title":"DNAct: Diffusion Guided Multi-Task 3D Policy Learning","created":"2024-03-07","cited_by_count":23,"area":null},{"id":"2506.09284","title":"UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation","created":"2025-06-10","cited_by_count":23,"area":null},{"id":"2407.04152","title":"VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation","created":"2024-07-04","cited_by_count":21,"area":null},{"id":"2405.18196","title":"Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning","created":"2024-05-28","cited_by_count":20,"area":null},{"id":"2206.03271","title":"On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning","created":"2022-06-07","cited_by_count":19,"area":null},{"id":"2405.19586","title":"SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation","created":"2024-05-30","cited_by_count":18,"area":null},{"id":"2306.10474","title":"A Universal Semantic-Geometric Representation for Robotic Manipulation","created":"2023-06-18","cited_by_count":16,"area":null},{"id":"2204.01571","title":"Coarse-to-Fine Q-attention with Learned Path Ranking","created":"2022-04-04","cited_by_count":13,"area":null},{"id":"2406.10615","title":"Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation","created":"2024-06-15","cited_by_count":13,"area":null},{"id":"2306.06799","title":"On the Efficacy of 3D Point Cloud Reinforcement Learning","created":"2023-06-11","cited_by_count":11,"area":null},{"id":"2407.07868","title":"Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation","created":"2024-07-10","cited_by_count":11,"area":null},{"id":"2502.04531","title":"AnyPlace: Learning Generalized Object Placement for Robot Manipulation","created":"2025-02-06","cited_by_count":11,"area":null},{"id":"2202.11092","title":"ReorientBot: Learning Object Reorientation for Specific-Posed Placement","created":"2022-02-22","cited_by_count":10,"area":null},{"id":"2403.00336","title":"Never-Ending Behavior-Cloning Agent for Robotic Manipulation","created":"2024-03-01","cited_by_count":10,"area":null},{"id":"2406.07398","title":"Visual Representation Learning with Stochastic Frame Prediction","created":"2024-06-11","cited_by_count":10,"area":null},{"id":"2406.18158","title":"3D-MVP: 3D Multiview Pretraining for Robotic Manipulation","created":"2024-06-26","cited_by_count":10,"area":null},{"id":"2204.12471","title":"Coarse-to-fine Q-attention with Tree Expansion","created":"2022-04-26","cited_by_count":9,"area":null},{"id":"2202.03957","title":"Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning","created":"2022-02-08","cited_by_count":8,"area":null},{"id":"2309.12312","title":"ForceSight: Text-Guided Mobile Manipulation with Visual-Force Goals","created":"2023-09-21","cited_by_count":8,"area":null},{"id":"2306.02413","title":"Evaluating Continual Learning on a Home Robot","created":"2023-06-04","cited_by_count":5,"area":null},{"id":"2311.00462","title":"Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design","created":"2023-11-01","cited_by_count":5,"area":null},{"id":"2406.04144","title":"Redundancy-aware Action Spaces for Robot Learning","created":"2024-06-06","cited_by_count":5,"area":null},{"id":"2409.14891","title":"Observe Then Act: Asynchronous Active Vision-Action Model for Robotic Manipulation","created":"2024-09-23","cited_by_count":5,"area":null},{"id":"2511.09555","title":"SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation","created":"2025-11-12","cited_by_count":5,"area":null},{"id":"2202.05832","title":"SafePicking: Learning Safe Object Extraction via Object-Level Mapping","created":"2022-02-11","cited_by_count":3,"area":null},{"id":"2410.18964","title":"Learning to Look: Seeking Information for Decision Making via Policy Factorization","created":"2024-10-24","cited_by_count":3,"area":null},{"id":"2511.22777","title":"Improving Robotic Manipulation Robustness via NICE Scene Surgery","created":"2025-11-27","cited_by_count":3,"area":null},{"id":"2601.18923","title":"DeFM: Learning Foundation Representations from Depth for Robotics","created":"2026-01-26","cited_by_count":3,"area":null},{"id":"2512.16724","title":"VERM: Leveraging Foundation Models to Create a Virtual Eye for Efficient 3D Robotic Manipulation","created":"2025-12-18","cited_by_count":2,"area":null},{"id":"2506.11261","title":"Gondola: Grounded Vision Language Planning for Robotic Manipulation","created":"2025-06-12","cited_by_count":1,"area":null},{"id":"2507.14485","title":"Benefit from Reference: Retrieval-Augmented Cross-modal Point Cloud Completion","created":"2025-07-19","cited_by_count":1,"area":null},{"id":"2509.20579","title":"Large Pre-Trained Models for Bimanual Manipulation in 3D","created":"2025-09-24","cited_by_count":1,"area":null},{"id":"2509.21136","title":"Embodied Representation Alignment with Mirror Neurons","created":"2025-09-25","cited_by_count":1,"area":null},{"id":"2510.24261","title":"DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation","created":"2025-10-28","cited_by_count":1,"area":null},{"id":"2306.00975","title":"Active Vision Reinforcement Learning under Limited Visual Observability","created":"2023-06-01","cited_by_count":0,"area":null},{"id":"2405.17047","title":"Interpretable Robotic Manipulation from Language","created":"2024-05-27","cited_by_count":0,"area":null},{"id":"2409.00499","title":"DAP: Diffusion-based Affordance Prediction for Multi-modality Storage","created":"2024-08-31","cited_by_count":0,"area":null},{"id":"2505.11467","title":"Exploiting Radiance Fields for Grasp Generation on Novel Synthetic Views","created":"2025-05-16","cited_by_count":0,"area":null},{"id":"2607.02845","title":"Differential Amplifier-Inspired AmpAttention for Multi-View Robotic Manipulation","created":"2026-07-03","cited_by_count":0,"area":null},{"id":"2607.04714","title":"Geometry-Aware Motion Latents for Learning Robust Manipulation Policies","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2609.38443","title":"BIND: Binding 3D Robot Actions to 2D Image Features","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}