{"list":"other","total":52,"rows":[{"id":"2306.03310","title":"LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning","created":"2023-06-05","cited_by_count":1410},{"id":"2503.14734","title":"GR00T N1: An Open Foundation Model for Generalist Humanoid Robots","created":"2025-03-18","cited_by_count":1225},{"id":"2410.07864","title":"RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation","created":"2024-10-10","cited_by_count":691},{"id":"2112.03227","title":"CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks","created":"2021-12-06","cited_by_count":584},{"id":"2302.00111","title":"Learning Universal Policies via Text-Guided Video Generation","created":"2023-01-31","cited_by_count":522},{"id":"2505.06111","title":"UniVLA: Learning to Act Anywhere with Task-centric Latent Actions","created":"2025-05-09","cited_by_count":410},{"id":"2312.13139","title":"Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation","created":"2023-12-20","cited_by_count":364},{"id":"2403.09631","title":"3D-VLA: A 3D Vision-Language-Action Generative World Model","created":"2024-03-14","cited_by_count":328},{"id":"2510.10274","title":"X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model","created":"2025-10-11","cited_by_count":303},{"id":"2412.14803","title":"Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations","created":"2024-12-19","cited_by_count":289},{"id":"2310.10639","title":"Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models","created":"2023-10-16","cited_by_count":269},{"id":"2504.02792","title":"Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets","created":"2025-04-03","cited_by_count":240},{"id":"2304.08488","title":"Affordances from Human Videos as a Versatile Representation for Robotics","created":"2023-04-17","cited_by_count":226},{"id":"2502.19417","title":"Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models","created":"2025-02-26","cited_by_count":221},{"id":"2507.04447","title":"DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge","created":"2025-07-06","cited_by_count":213},{"id":"2101.02692","title":"Where2Act: From Pixels to Actions for Articulated 3D Objects","created":"2021-01-07","cited_by_count":182},{"id":"2411.04996","title":"Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models","created":"2024-11-07","cited_by_count":163},{"id":"2412.15109","title":"Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation","created":"2024-12-19","cited_by_count":161},{"id":"2507.16815","title":"ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning","created":"2025-07-22","cited_by_count":156},{"id":"2604.15483","title":"${\\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities","created":"2026-04-16","cited_by_count":138},{"id":"2510.12276","title":"Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model","created":"2025-10-14","cited_by_count":134},{"id":"1710.01330","title":"Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching","created":"2017-10-03","cited_by_count":125},{"id":"2001.04583","title":"EGO-TOPO: Environment Affordances from Egocentric Video","created":"2020-01-14","cited_by_count":111},{"id":"1404.3785","title":"Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study","created":"2014-04-15","cited_by_count":89},{"id":"2509.06951","title":"F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions","created":"2025-09-08","cited_by_count":86},{"id":"2401.11439","title":"General Flow as Foundation Affordance for Scalable Robot Learning","created":"2024-01-21","cited_by_count":85},{"id":"2508.10333","title":"ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver","created":"2025-08-14","cited_by_count":81},{"id":"2106.14440","title":"VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects","created":"2021-06-28","cited_by_count":80},{"id":"2510.12798","title":"Detect Anything via Next Point Prediction","created":"2025-10-14","cited_by_count":73},{"id":"2401.07487","title":"Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation","created":"2024-01-15","cited_by_count":71},{"id":"2008.09241","title":"Learning Affordance Landscapes for Interaction Exploration in 3D Environments","created":"2020-08-21","cited_by_count":65},{"id":"2407.04689","title":"RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation","created":"2024-07-05","cited_by_count":58},{"id":"2412.03293","title":"Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning","created":"2024-12-04","cited_by_count":57},{"id":"2409.09016","title":"Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation","created":"2024-09-13","cited_by_count":53},{"id":"2508.18269","title":"FlowVLA: Visual Chain of Thought-based Motion Reasoning for Vision-Language-Action Models","created":"2025-08-25","cited_by_count":50},{"id":"2511.16651","title":"InternData-A1: Pioneering High-Fidelity Synthetic Data for Pre-training Generalist Policy","created":"2025-11-20","cited_by_count":50},{"id":"2105.01047","title":"Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery","created":"2021-05-03","cited_by_count":45},{"id":"2412.03142","title":"AffordDP: Generalizable Diffusion Policy with Transferable Affordance","created":"2024-12-04","cited_by_count":37},{"id":"2309.07473","title":"Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects","created":"2023-09-14","cited_by_count":35},{"id":"1910.11669","title":"Learning Task-Oriented Grasping from Human Activity Datasets","created":"2019-10-25","cited_by_count":32},{"id":"2412.20451","title":"CoA-VLA: Improving Vision-Language-Action Models via Visual-Textual Chain-of-Affordance","created":"2024-12-29","cited_by_count":31},{"id":"2411.03990","title":"ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy","created":"2024-11-06","cited_by_count":26},{"id":"2208.13196","title":"Grounded Affordance from Exocentric View","created":"2022-08-28","cited_by_count":22},{"id":"2207.01971","title":"DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation","created":"2022-07-05","cited_by_count":18},{"id":"2504.17784","title":"Gripper Keypose and Object Pointflow as Interfaces for Bimanual Robotic Manipulation","created":"2025-04-24","cited_by_count":16},{"id":"2505.11032","title":"DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy","created":"2025-05-16","cited_by_count":13},{"id":"2503.09243","title":"GarmentPile: Point-Level Visual Affordance Guided Retrieval and Adaptation for Cluttered Garments Manipulation","created":"2025-03-12","cited_by_count":9},{"id":"2505.13441","title":"GraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation","created":"2025-05-19","cited_by_count":9},{"id":"2408.01953","title":"EqvAfford: SE(3) Equivariance for Point-Level Affordance Learning","created":"2024-08-04","cited_by_count":6},{"id":"2602.14193","title":"Learning Part-Aware Dense 3D Feature Field for Generalizable Articulated Object Manipulation","created":"2026-02-15","cited_by_count":5},{"id":"2601.11076","title":"A3D: Adaptive Affordance Assembly with Dual-Arm Manipulation","created":"2026-01-16","cited_by_count":3},{"id":"2603.04158","title":"GarmentPile++: Affordance-Driven Cluttered Garments Retrieval with Vision-Language Reasoning","created":"2026-03-04","cited_by_count":1}],"next_cursor":null}