{"total":31,"rows":[{"id":"2304.12210","title":"A Cookbook of Self-Supervised Learning","created":"2023-04-24","cited_by_count":250,"area":null},{"id":"2408.11812","title":"Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation","created":"2024-08-21","cited_by_count":114,"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":"2509.19301","title":"Residual Off-Policy RL for Finetuning Behavior Cloning Policies","created":"2025-09-23","cited_by_count":55,"area":null},{"id":"2312.00775","title":"Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans","created":"2023-12-01","cited_by_count":52,"area":null},{"id":"2306.10007","title":"Robot Learning with Sensorimotor Pre-training","created":"2023-06-16","cited_by_count":51,"area":null},{"id":"2505.03738","title":"AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control","created":"2025-05-06","cited_by_count":51,"area":null},{"id":"2409.05865","title":"Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments","created":"2024-09-09","cited_by_count":44,"area":null},{"id":"2411.02704","title":"RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation","created":"2024-11-05","cited_by_count":43,"area":null},{"id":"2310.09971","title":"AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents","created":"2023-10-15","cited_by_count":41,"area":null},{"id":"2404.19664","title":"Towards Generalist Robot Learning from Internet Video: A Survey","created":"2024-04-30","cited_by_count":40,"area":null},{"id":"2401.12202","title":"OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics","created":"2024-01-22","cited_by_count":34,"area":null},{"id":"2305.16985","title":"Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation","created":"2023-05-26","cited_by_count":31,"area":null},{"id":"2410.23289","title":"Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards","created":"2024-10-30","cited_by_count":28,"area":null},{"id":"2412.06782","title":"CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction","created":"2024-12-09","cited_by_count":27,"area":null},{"id":"2412.06784","title":"P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies","created":"2024-12-09","cited_by_count":16,"area":null},{"id":"2401.08957","title":"Learning from Imperfect Demonstrations with Self-Supervision for Robotic Manipulation","created":"2024-01-17","cited_by_count":14,"area":null},{"id":"2210.13431","title":"Instruction-Following Agents with Multimodal Transformer","created":"2022-10-24","cited_by_count":13,"area":null},{"id":"2402.07127","title":"Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation","created":"2024-02-11","cited_by_count":11,"area":null},{"id":"2310.08549","title":"Cross-Episodic Curriculum for Transformer Agents","created":"2023-10-12","cited_by_count":10,"area":null},{"id":"2305.10455","title":"Towards Generalist Robots: A Promising Paradigm via Generative Simulation","created":"2023-05-17","cited_by_count":9,"area":null},{"id":"2604.28192","title":"LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning","created":"2026-04-30","cited_by_count":8,"area":null},{"id":"2604.03340","title":"Learning Additively Compositional Latent Actions for Embodied AI","created":"2026-04-03","cited_by_count":7,"area":null},{"id":"2408.07975","title":"Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Models","created":"2024-08-15","cited_by_count":6,"area":null},{"id":"2410.01529","title":"Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning","created":"2024-10-02","cited_by_count":6,"area":null},{"id":"2602.02259","title":"Segment to Focus: Guiding Latent Action Models in the Presence of Distractors","created":"2026-02-02","cited_by_count":6,"area":null},{"id":"2507.09041","title":"Behavioral Exploration: Learning to Explore via In-Context Adaptation","created":"2025-07-11","cited_by_count":5,"area":null},{"id":"2512.22208","title":"Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA","created":"2025-12-22","cited_by_count":5,"area":null},{"id":"2602.09017","title":"Contact-Anchored Policies: Contact Conditioning Creates Strong Robot Utility Models","created":"2026-02-09","cited_by_count":4,"area":null},{"id":"2307.08471","title":"Clarifying the Half Full or Half Empty Question: Multimodal Container Classification","created":"2023-07-17","cited_by_count":1,"area":null},{"id":"2607.18236","title":"Patch Policy: Efficient Embodied Control via Dense Visual Representations","created":"2026-07-20","cited_by_count":0,"area":null}],"next_cursor":null}