{"total":111,"rows":[{"id":"2109.12098","title":"CLIPort: What and Where Pathways for Robotic Manipulation","created":"2021-09-24","cited_by_count":622,"area":null},{"id":"2211.03726","title":"TAP-Vid: A Benchmark for Tracking Any Point in a Video","created":"2022-11-07","cited_by_count":263,"area":null},{"id":"2203.06173","title":"Masked Visual Pre-training for Motor Control","created":"2022-03-11","cited_by_count":248,"area":null},{"id":"2102.02915","title":"How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned","created":"2021-02-04","cited_by_count":213,"area":null},{"id":"2112.05124","title":"Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation","created":"2021-12-09","cited_by_count":209,"area":null},{"id":"2310.08576","title":"Learning to Act from Actionless Videos through Dense Correspondences","created":"2023-10-12","cited_by_count":164,"area":null},{"id":"2308.07931","title":"Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation","created":"2023-07-27","cited_by_count":130,"area":null},{"id":"2111.13489","title":"SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings","created":"2021-11-26","cited_by_count":95,"area":null},{"id":"2308.15975","title":"RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation","created":"2023-08-30","cited_by_count":90,"area":null},{"id":"2203.01913","title":"NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields","created":"2022-03-03","cited_by_count":86,"area":null},{"id":"2201.12716","title":"You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration","created":"2022-01-30","cited_by_count":81,"area":null},{"id":"2410.24091","title":"3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing","created":"2024-10-31","cited_by_count":72,"area":null},{"id":"2303.12076","title":"Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play","created":"2023-03-21","cited_by_count":62,"area":null},{"id":"2204.03635","title":"Zero-Shot Category-Level Object Pose Estimation","created":"2022-04-07","cited_by_count":57,"area":null},{"id":"2206.08321","title":"Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning","created":"2022-06-16","cited_by_count":56,"area":null},{"id":"2409.18121","title":"Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction","created":"2024-09-26","cited_by_count":54,"area":null},{"id":"2211.09786","title":"SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields","created":"2022-11-17","cited_by_count":51,"area":null},{"id":"2109.09163","title":"CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation","created":"2021-09-19","cited_by_count":49,"area":null},{"id":"2211.09325","title":"TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation","created":"2022-11-17","cited_by_count":47,"area":null},{"id":"2202.00732","title":"IFOR: Iterative Flow Minimization for Robotic Object Rearrangement","created":"2022-02-01","cited_by_count":42,"area":null},{"id":"2103.02184","title":"RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images","created":"2021-03-03","cited_by_count":39,"area":null},{"id":"2507.00990","title":"Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations","created":"2025-07-01","cited_by_count":38,"area":null},{"id":"2309.16118","title":"D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement","created":"2023-09-28","cited_by_count":35,"area":null},{"id":"2209.07147","title":"One-Shot Transfer of Affordance Regions? AffCorrs!","created":"2022-09-15","cited_by_count":31,"area":null},{"id":"2106.07643","title":"Unsupervised Learning of Visual 3D Keypoints for Control","created":"2021-06-14","cited_by_count":30,"area":null},{"id":"2209.13864","title":"USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation","created":"2022-09-28","cited_by_count":27,"area":null},{"id":"2103.03114","title":"Self-supervised Geometric Perception","created":"2021-03-04","cited_by_count":26,"area":null},{"id":"2303.11057","title":"Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation","created":"2023-03-20","cited_by_count":25,"area":null},{"id":"2405.06903","title":"UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence","created":"2024-05-11","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":"2205.06333","title":"Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations","created":"2022-05-12","cited_by_count":21,"area":null},{"id":"2302.03573","title":"Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation","created":"2023-02-07","cited_by_count":21,"area":null},{"id":"2307.12172","title":"Challenges for Monocular 6D Object Pose Estimation in Robotics","created":"2023-07-22","cited_by_count":21,"area":null},{"id":"2109.01097","title":"The Functional Correspondence Problem","created":"2021-09-02","cited_by_count":20,"area":null},{"id":"2104.03851","title":"CoCoNets: Continuous Contrastive 3D Scene Representations","created":"2021-04-08","cited_by_count":19,"area":null},{"id":"2211.11679","title":"Mean Shift Mask Transformer for Unseen Object Instance Segmentation","created":"2022-11-21","cited_by_count":19,"area":null},{"id":"2106.16118","title":"SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo","created":"2021-06-30","cited_by_count":18,"area":null},{"id":"2211.14648","title":"Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding","created":"2022-11-26","cited_by_count":15,"area":null},{"id":"2210.10947","title":"Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?","created":"2022-10-20","cited_by_count":12,"area":null},{"id":"2305.04718","title":"The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation","created":"2023-05-08","cited_by_count":12,"area":null},{"id":"2107.08942","title":"Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies","created":"2021-06-29","cited_by_count":11,"area":null},{"id":"2112.05068","title":"A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation","created":"2021-12-09","cited_by_count":11,"area":null},{"id":"2403.14526","title":"Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors","created":"2024-03-21","cited_by_count":11,"area":null},{"id":"2302.03793","title":"Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction","created":"2023-02-07","cited_by_count":10,"area":null},{"id":"2407.08722","title":"Controlling diverse robots by inferring Jacobian fields with deep networks","created":"2024-07-11","cited_by_count":10,"area":null},{"id":"2207.07813","title":"Autonomously Untangling Long Cables","created":"2022-07-16","cited_by_count":9,"area":null},{"id":"2212.06111","title":"Where To Start? Transferring Simple Skills to Complex Environments","created":"2022-12-12","cited_by_count":9,"area":null},{"id":"2109.07578","title":"Multi-Task Learning with Sequence-Conditioned Transporter Networks","created":"2021-09-15","cited_by_count":8,"area":null},{"id":"2202.00448","title":"Sim2Real Object-Centric Keypoint Detection and Description","created":"2022-02-01","cited_by_count":8,"area":null},{"id":"2207.07861","title":"TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance","created":"2022-07-16","cited_by_count":8,"area":null},{"id":"2305.12626","title":"You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example","created":"2023-05-22","cited_by_count":8,"area":null},{"id":"2311.01530","title":"NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors","created":"2023-11-02","cited_by_count":8,"area":null},{"id":"2106.02252","title":"Disentangling Dense Multi-Cable Knots","created":"2021-06-04","cited_by_count":7,"area":null},{"id":"2206.12498","title":"Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic Keypoints","created":"2022-06-24","cited_by_count":7,"area":null},{"id":"2303.04011","title":"One-4-All: Neural Potential Fields for Embodied Navigation","created":"2023-03-07","cited_by_count":7,"area":null},{"id":"2304.12405","title":"Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization","created":"2023-04-24","cited_by_count":7,"area":null},{"id":"2503.22462","title":"SemAlign3D: Semantic Correspondence between RGB-Images through Aligning 3D Object-Class Representations","created":"2025-03-28","cited_by_count":7,"area":null},{"id":"2211.15059","title":"Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization","created":"2022-11-28","cited_by_count":6,"area":null},{"id":"2309.05197","title":"Learning Sequential Acquisition Policies for Robot-Assisted Feeding","created":"2023-09-11","cited_by_count":6,"area":null},{"id":"2309.15110","title":"Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow","created":"2023-09-26","cited_by_count":6,"area":null},{"id":"2310.00887","title":"GRID: A Platform for General Robot Intelligence Development","created":"2023-10-02","cited_by_count":6,"area":null},{"id":"2402.05644","title":"FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object","created":"2024-02-08","cited_by_count":6,"area":null},{"id":"2104.13907","title":"Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations","created":"2021-04-28","cited_by_count":5,"area":null},{"id":"2202.13604","title":"Generalizable task representation learning from human demonstration videos: a geometric approach","created":"2022-02-28","cited_by_count":5,"area":null},{"id":"2209.13706","title":"SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception","created":"2022-09-27","cited_by_count":5,"area":null},{"id":"2302.03744","title":"3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation","created":"2023-02-07","cited_by_count":5,"area":null},{"id":"2409.12092","title":"IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition","created":"2024-09-18","cited_by_count":5,"area":null},{"id":"2410.23039","title":"Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping","created":"2024-10-30","cited_by_count":5,"area":null},{"id":"2102.08096","title":"Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications","created":"2021-02-16","cited_by_count":4,"area":null},{"id":"2210.10992","title":"NIFT: Neural Interaction Field and Template for Object Manipulation","created":"2022-10-20","cited_by_count":4,"area":null},{"id":"2411.08777","title":"LUDO: Low-Latency Understanding of Deformable Objects using Point Cloud Occupancy Functions","created":"2024-11-13","cited_by_count":4,"area":null},{"id":"2509.03889","title":"Reactive In-Air Clothing Manipulation with Confidence-Aware Dense Correspondence and Visuotactile Affordance","created":"2025-09-04","cited_by_count":4,"area":null},{"id":"2103.10524","title":"Generalizing Object-Centric Task-Axes Controllers using Keypoints","created":"2021-03-18","cited_by_count":3,"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":"2205.08316","title":"Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation","created":"2022-05-17","cited_by_count":3,"area":null},{"id":"2305.06305","title":"Self-Supervised Instance Segmentation by Grasping","created":"2023-05-10","cited_by_count":3,"area":null},{"id":"2505.02501","title":"Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions","created":"2025-05-05","cited_by_count":3,"area":null},{"id":"2510.01433","title":"AFFORD2ACT: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation","created":"2025-10-01","cited_by_count":3,"area":null},{"id":"2111.05318","title":"A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation","created":"2021-11-09","cited_by_count":2,"area":null},{"id":"2111.10817","title":"Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine","created":"2021-11-21","cited_by_count":2,"area":null},{"id":"2203.04566","title":"All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators","created":"2022-03-09","cited_by_count":2,"area":null},{"id":"2206.12145","title":"Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation","created":"2022-06-24","cited_by_count":2,"area":null},{"id":"2208.09829","title":"CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation","created":"2022-08-21","cited_by_count":2,"area":null},{"id":"2302.11827","title":"Open Challenges for Monocular Single-shot 6D Object Pose Estimation","created":"2023-02-23","cited_by_count":2,"area":null},{"id":"2304.08703","title":"Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation","created":"2023-04-18","cited_by_count":2,"area":null},{"id":"2308.07807","title":"Grasp Transfer based on Self-Aligning Implicit Representations of Local Surfaces","created":"2023-08-15","cited_by_count":2,"area":null},{"id":"2405.08996","title":"Learning Correspondence for Deformable Objects","created":"2024-05-14","cited_by_count":2,"area":null},{"id":"2407.12207","title":"NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models","created":"2024-07-16","cited_by_count":2,"area":null},{"id":"2410.19247","title":"Non-rigid Relative Placement through 3D Dense Diffusion","created":"2024-10-25","cited_by_count":2,"area":null},{"id":"2102.04136","title":"Points2Vec: Unsupervised Object-level Feature Learning from Point Clouds","created":"2021-02-08","cited_by_count":1,"area":null},{"id":"2204.10667","title":"DFAM-DETR: Deformable feature based attention mechanism DETR on slender object detection","created":"2022-04-22","cited_by_count":1,"area":null},{"id":"2304.10108","title":"Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors","created":"2023-04-20","cited_by_count":1,"area":null},{"id":"2309.06621","title":"A Reinforcement Learning Approach for Robotic Unloading from Visual Observations","created":"2023-09-12","cited_by_count":1,"area":null},{"id":"2309.15562","title":"Learning from SAM: Harnessing a Foundation Model for Sim2Real Adaptation by Regularization","created":"2023-09-27","cited_by_count":1,"area":null},{"id":"2406.12441","title":"Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images","created":"2024-06-18","cited_by_count":1,"area":null},{"id":"2510.10516","title":"Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control","created":"2025-10-12","cited_by_count":1,"area":null},{"id":"2209.12350","title":"Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario","created":"2022-09-25","cited_by_count":0,"area":null},{"id":"2301.11275","title":"A Review of Scene Representations for Robot Manipulators","created":"2022-12-22","cited_by_count":0,"area":null},{"id":"2304.09371","title":"3 Dimensional Dense Reconstruction: A Review of Algorithms and Dataset","created":"2023-04-19","cited_by_count":0,"area":null},{"id":"2309.08134","title":"AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT","created":"2023-09-15","cited_by_count":0,"area":null}],"next_cursor":"100"}