{"total":67,"rows":[{"id":"2407.06886","title":"Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI","created":"2024-07-09","cited_by_count":179,"area":null},{"id":"2401.18084","title":"Binding Touch to Everything: Learning Unified Multimodal Tactile Representations","created":"2024-01-31","cited_by_count":95,"area":null},{"id":"2211.12498","title":"Touch and Go: Learning from Human-Collected Vision and Touch","created":"2022-11-22","cited_by_count":87,"area":null},{"id":"2204.02389","title":"ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer","created":"2022-04-05","cited_by_count":75,"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":"2109.07991","title":"ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations","created":"2021-09-16","cited_by_count":68,"area":null},{"id":"2212.03858","title":"See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation","created":"2022-12-07","cited_by_count":68,"area":null},{"id":"2107.00646","title":"Learning to See before Learning to Act: Visual Pre-training for Manipulation","created":"2021-07-01","cited_by_count":51,"area":null},{"id":"2502.12191","title":"AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors","created":"2025-02-15","cited_by_count":48,"area":null},{"id":"2406.13640","title":"Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks","created":"2024-06-19","cited_by_count":45,"area":null},{"id":"2501.04693","title":"Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding","created":"2025-01-08","cited_by_count":42,"area":"vla"},{"id":"2306.00956","title":"The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects","created":"2023-06-01","cited_by_count":41,"area":null},{"id":"2401.08577","title":"MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World","created":"2024-01-16","cited_by_count":39,"area":null},{"id":"2103.12656","title":"Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification","created":"2021-03-23","cited_by_count":38,"area":null},{"id":"2111.00071","title":"ReSkin: versatile, replaceable, lasting tactile skins","created":"2021-10-29","cited_by_count":35,"area":null},{"id":"2408.11537","title":"A Survey of Embodied Learning for Object-Centric Robotic Manipulation","created":"2024-08-21","cited_by_count":35,"area":null},{"id":"2310.16917","title":"MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation","created":"2023-10-25","cited_by_count":34,"area":null},{"id":"2401.12024","title":"Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training","created":"2024-01-22","cited_by_count":31,"area":null},{"id":"2507.15062","title":"Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper","created":"2025-07-20","cited_by_count":29,"area":null},{"id":"2309.15117","title":"Generating Visual Scenes from Touch","created":"2023-09-26","cited_by_count":26,"area":null},{"id":"2405.04534","title":"Tactile-Augmented Radiance Fields","created":"2024-05-07","cited_by_count":26,"area":null},{"id":"2405.08576","title":"Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation","created":"2024-05-14","cited_by_count":14,"area":null},{"id":"2601.20321","title":"TaF-VLA: Tactile-Force Alignment in Vision-Language-Action Models for Force-aware Manipulation","created":"2026-01-28","cited_by_count":13,"area":"vla"},{"id":"2203.11544","title":"Visuo-Haptic Object Perception for Robots: An Overview","created":"2022-03-22","cited_by_count":12,"area":null},{"id":"2303.07997","title":"FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback","created":"2023-03-14","cited_by_count":12,"area":null},{"id":"2410.02048","title":"FeelAnyForce: Estimating Contact Force Feedback from Tactile Sensation for Vision-Based Tactile Sensors","created":"2024-10-02","cited_by_count":11,"area":null},{"id":"2305.03051","title":"Controllable Visual-Tactile Synthesis","created":"2023-05-04","cited_by_count":8,"area":null},{"id":"2401.17032","title":"M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation","created":"2024-01-30","cited_by_count":8,"area":"deeprl"},{"id":"2506.01944","title":"Feel the Force: Contact-Driven Learning from Humans","created":"2025-06-02","cited_by_count":8,"area":null},{"id":"2506.20757","title":"ConViTac: Aligning Visual-Tactile Fusion with Contrastive Representations","created":"2025-06-25","cited_by_count":8,"area":null},{"id":"2107.05468","title":"Visual-Tactile Cross-Modal Data Generation using Residue-Fusion GAN with Feature-Matching and Perceptual Losses","created":"2021-07-12","cited_by_count":6,"area":null},{"id":"2403.09813","title":"Towards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Dataset","created":"2024-03-14","cited_by_count":6,"area":null},{"id":"2507.02864","title":"The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio","created":"2025-07-03","cited_by_count":6,"area":null},{"id":"2604.28156","title":"FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems","created":"2026-04-30","cited_by_count":6,"area":null},{"id":"2101.04454","title":"Learning Intuitive Physics with Multimodal Generative Models","created":"2021-01-12","cited_by_count":4,"area":null},{"id":"2403.04934","title":"LeTac-MPC: Learning Model Predictive Control for Tactile-reactive Grasping","created":"2024-03-07","cited_by_count":4,"area":null},{"id":"2504.02318","title":"X-Capture: An Open-Source Portable Device for Multi-Sensory Learning","created":"2025-04-03","cited_by_count":4,"area":null},{"id":"2509.18830","title":"DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation","created":"2025-09-23","cited_by_count":4,"area":null},{"id":"2209.05022","title":"PoseIt: A Visual-Tactile Dataset of Holding Poses for Grasp Stability Analysis","created":"2022-09-12","cited_by_count":3,"area":null},{"id":"2109.11504","title":"Leveraging distributed contact force measurements for slip detection: a physics-based approach enabled by a data-driven tactile sensor","created":"2021-09-23","cited_by_count":2,"area":null},{"id":"2212.08604","title":"Planning Visual-Tactile Precision Grasps via Complementary Use of Vision and Touch","created":"2022-12-16","cited_by_count":2,"area":null},{"id":"2309.12856","title":"Robotic Handling of Compliant Food Objects by Robust Learning from Demonstration","created":"2023-09-22","cited_by_count":2,"area":null},{"id":"2503.07926","title":"Learning Gentle Grasping Using Vision, Sound, and Touch","created":"2025-03-11","cited_by_count":2,"area":null},{"id":"2505.14270","title":"RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Data","created":"2025-05-20","cited_by_count":2,"area":null},{"id":"2505.20032","title":"ViTaPEs: Visuotactile Position Encodings for Cross-Modal Alignment in Multimodal Transformers","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2511.11512","title":"Collaborative Representation Learning for Alignment of Tactile, Language, and Vision Modalities","created":"2025-11-14","cited_by_count":2,"area":null},{"id":"2604.11579","title":"Seeing Through Touch: Tactile-Driven Visual Localization of Material Regions","created":"2026-04-13","cited_by_count":2,"area":null},{"id":"2605.17336","title":"Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms","created":"2026-05-17","cited_by_count":2,"area":null},{"id":"2202.11503","title":"Visual-Tactile Sensing for Real-time Liquid Volume Estimation in Grasping","created":"2022-02-23","cited_by_count":1,"area":null},{"id":"2306.14437","title":"A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction","created":"2023-06-26","cited_by_count":1,"area":null},{"id":"2409.12273","title":"Improving Soft-Capture Phase Success in Space Debris Removal Missions: Leveraging Deep Reinforcement Learning and Tactile Feedback","created":"2024-09-18","cited_by_count":1,"area":"deeprl"},{"id":"2503.06860","title":"Towards Generalization of Tactile Image Generation: Reference-Free Evaluation in a Leakage-Free Setting","created":"2025-03-10","cited_by_count":1,"area":null},{"id":"2503.24270","title":"Visual Acoustic Fields","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2504.00017","title":"Enhance Vision-based Tactile Sensors via Dynamic Illumination and Image Fusion","created":"2025-03-27","cited_by_count":1,"area":null},{"id":"2505.14319","title":"RETRO: REthinking Tactile Representation Learning with Material PriOrs","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2603.08255","title":"FlowTouch: View-Invariant Visuo-Tactile Prediction","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2605.27154","title":"Touch-R1: Reinforcing Touch Reasoning in MLLMs","created":"2026-05-26","cited_by_count":1,"area":"lr"},{"id":"2606.12069","title":"Tac-DINO: Learning Vision-Tactile Features with Patch Alignment","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2403.15107","title":"PseudoTouch: Efficiently Imaging the Surface Feel of Objects for Robotic Manipulation","created":"2024-03-22","cited_by_count":0,"area":null},{"id":"2505.20498","title":"ControlTac: Scaling Tactile Data with Physically Controlled Tactile Image Generation","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2511.17988","title":"HyM-UNet: Synergizing Local Texture and Global Context via Hybrid CNN-Mamba Architecture for Medical Image Segmentation","created":"2025-11-22","cited_by_count":0,"area":"ssm"},{"id":"2606.08765","title":"Tac2Pix: Image-Space Visuo-Tactile Fusion for Dexterous Manipulation","created":"2026-06-07","cited_by_count":0,"area":null},{"id":"2606.14344","title":"More with LESS -- Local Scene Representations for Tactile Imaging","created":"2026-06-12","cited_by_count":0,"area":null},{"id":"2606.31694","title":"RCT: A Robot-Collected Touch-Vision-Language Dataset for Tactile Generalization","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2609.14783","title":"Language-Guided Representation Learning for Robust Cross-Sensor Material Recognition","created":"2026-09-13","cited_by_count":0,"area":null},{"id":"2609.34182","title":"Unified Visual-Tactile-Action Modeling from Human Demonstrations for Dexterous Manipulation","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.04741","title":"Robot Learning with Visual Predicted Force","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}