Robot Learning

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Overview

Robot learning studies how robots can turn observations and experience into actions, from precise manipulation and locomotion to navigation and human-robot interaction. Common approaches include imitation learning from human or robot demonstrations, reinforcement learning through interaction, model-based control, and vision-language-action models that connect instructions and images to actions. Researchers also use reusable skills, structured physical representations, tactile sensing, and simulation or world models to improve transfer across tasks, objects, and robot bodies. A central challenge is making policies reliable beyond their training data: larger and more varied datasets can help, but physical feasibility, sim-to-real transfer, long-horizon recovery, and evaluation that predicts real-world success remain open concerns.

Latest papers

CardsList

321 papers75 papers in the last four weeks, up 79% on the four weeks before. 0.4% of all new papers.

  1. Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation

    Mar 3, 2026Senwei Xie, Yuntian Zhang, Ruiping Wang +1Robot Skill LearningRobot Learning

    Key Laboratory of AI Safety of CAS, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China · University of Chinese Academy of Sciences, Beijing, 100049, China

  2. FATE: Closed-Loop Feasibility-Aware Task Generation with Active Repair for Physically Grounded Robotic Curricula

    Mar 2, 2026Bingchuan Wei, Bingqi Huang, Jingheng Ma +2Synthetic Data Generation for RoboticsRobot Learning

    School of Aerospace Engineering, Tsinghua University, Beijing, China · School of Integrated Circuits, Tsinghua University, Beijing, China · State Key Laboratory of General Artificial Intelligence, Beijing Institute for General Artificial Intelligence (BIGAI), Beijing, China +1

  3. Towards Robot Skill Learning and Adaptation with Gaussian Processes

    Mar 2, 2026A K M Nadimul Haque, Fouad Sukkar, Sheila Sutjipto +3Robot Skill LearningRobot Learning

  4. LeRobot: An Open-Source Library for End-to-End Robot Learning

    Feb 26, 2026Remi Cadene, Simon Aliberts, Francesco Capuano +14Robot LearningRobotic Control

    Hugging Face · University of Oxford

  5. TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics

    Feb 22, 2026Shirui Chen, Cole Harrison, Ying-Chun Lee +6Robot Task Progress EstimationRobot Learning

    University of Washington · Allen Institute for AI · Amazon +1

  6. The Price Is Not Right: Neuro-Symbolic Methods Outperform VLAs on Structured Long-Horizon Manipulation Tasks with Significantly Lower Energy Consumption

    Feb 22, 2026Timothy Duggan, Pierrick Lorang, Hong Lu +1Long-Horizon Robotic ManipulationRobot Learning

    Human-Robot Interaction Lab, Tufts University, Medford, MA, USA. · AIT Austrian Institute of Technology GmbH, Center for Vision, Automation & Control, Vienna, Austria.

  7. Enhancing Goal Inference via Correction Timing

    Feb 20, 2026Anjiabei Wang, Shuangge Wang, Tesca FitzgeraldRobot LearningHuman-Robot Collaboration

    Yale University, New Haven, CT, United States

  8. EgoPush: Egocentric Multi-Object Rearrangement for Mobile Robots via Constrained Teacher Observability

    Feb 20, 2026Boyuan An, Zhexiong Wang, Yipeng Wang +4Robotic ManipulationRobot Learning

    New York University

  9. SparTa: Sparse Graphical Task Models from a Handful of Demonstrations

    Feb 18, 2026Adrian Röfer, Nick Heppert, Abhinav ValadaRobot LearningLearning from Demonstration

    University of Freiburg, Germany · Zuse School ELIZA

  10. EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data

    Feb 18, 2026Ruijie Zheng, Dantong Niu, Yuqi Xie +12Robotic ManipulationRobot Learning

    NVIDIA · University of California, Berkeley · University of Maryland

  11. Feasibility-aware Imitation Learning from Observation with Multimodal Feedback

    Feb 17, 2026Kei Takahashi, Hikaru Sasaki, Takamitsu MatsubaraImitation LearningRobot Imitation Learning

    Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology (NAIST), Ikoma-shi, Nara 630-0192, Japan

  12. BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames

    Feb 16, 2026Max Sobol Mark, Jacky Liang, Maria Attarian +4Robot Imitation LearningRobot Learning

    Carnegie Mellon University · Google DeepMind · Princeton University

  13. USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI

    Feb 8, 2026Hongzhi Zang, Shu'ang Yu, Hao Lin +14Robot Policy LearningReinforcement Learning

    Tsinghua University · Shanghai AI Laboratory · Infinigence AI +3

  14. World In Your Hands: A Large-Scale and Open-Source Ecosystem for Learning Human-Centric Manipulation in the Wild

    Dec 30, 2025Yupeng Zheng, Jichao Peng, Weize Li +22Human-Object InteractionRobot Skill Learning

    TARS Robotics

  15. Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation

    Dec 20, 2025Yihang Zhu, Weiqing Wang, Shijie Wu +2Long-Horizon Robotic ManipulationRobot Skill Learning

    ShanghaiTech University, Shanghai, China · InstAdapt

  16. METIS: Multi-Source Egocentric Training for Integrated Dexterous Vision-Language-Action Model

    Nov 21, 2025Yankai Fu, Ning Chen, Junkai Zhao +5Robotic ManipulationVLMs for Robotics

    State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University · Beijing Academy of Artificial Intelligence

  17. Model-Based Adaptive Precision Control for Tabletop Planar Pushing Under Uncertain Dynamics

    Oct 4, 2025Aydin Ahmadi, Baris AkgunContact-Rich ManipulationNon-Prehensile Manipulation

    Computer Engineering Department, Ko¸c University, Rumelifeneri Yolu, Istanbul, 34450, Istanbul, Turkey.

  18. Agentic Scene Policies

    Sep 23, 2025Sacha Morin, Kumaraditya Gupta, Mahtab Sandhu +4Robot Policy GeneralizationRobot Learning

    Université de Montréal · Mila - Quebec AI Institute · Sapienza University of Rome

  19. Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Robotic Peg Insertion

    Sep 15, 2025Zongyao Yi, Joachim Hertzberg, Martin AtzmuellerGraph Neural NetworksContact-Rich Robotic Manipulation

    German Research Center for Artificial Intelligence, DFKI Niedersachsen, Osnabrück, Germany · Osnabrück University, Institute of Computer Science, Osnabrück, Germany

  20. Prior Reinforce: Goal-Conditioned Dynamic Manipulation with Limited Trials

    May 28, 2025Yihang Hu, Pingyue Sheng, Yuyang Liu +2Robot Policy AdaptationRobot Skill Learning

    IIIS, Tsinghua University. · Shanghai Qi Zhi Institute. · Spirit AI.

  21. Data Scaling Laws in Imitation Learning for Robotic Manipulation

    Oct 24, 2024Fanqi Lin, Yingdong Hu, Pingyue Sheng +3Generalization in Robotic ManipulationRobotic Manipulation

    Tsinghua University · Shanghai Qi Zhi Institute · Shanghai Artificial Intelligence Laboratory