Robotic RL

RL: Reinforcement Learning

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28 papers in the last four weeks, up 180% on the four weeks before. 0.3% of all new papers.

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  1. HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation

    Jul 20, 2026Guanghu Xie, Mingxu Li, Shuo Zhang +5Contact-Rich Robotic ManipulationRobotic RL

    State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China

  2. When to Plan: Learning to Select Between Reactive Control and Deliberative Planning

    Jul 17, 2026Adam Labiosa, Josiah P. HannaRobot Policy LearningRobotic RL

    Department of Computer Sciences, University of Wisconsin–Madison, USA

  3. Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark

    Jul 17, 2026Jonas Weihing, Shahram EivaziRobotics SimulationRobotic RL

    *Tübingen university

  4. Semantic Audio-driven Understanding for Dynamic Humanoid Whole Body Control

    Jul 15, 2026J. M. A. Marcelo, M. Brienza, E. Bugli +4Robotic ControlHumanoid Robot Control

    Dept. of Computer, Control, and Management Engineering Sapienza University of Rome, Rome (Italy) · Dept. of International Humanities and Social Sciences, International University of Rome, Rome (Italy)

  5. Flow-aware Optimal Navigation in Unsteady Flows through Reinforcement Learning

    Jul 15, 2026Andrea Maria Braghin, Nicolò Botteghi, Matteo Tomasetto +2Partially Observable RLRobot Navigation

    Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy · MOX, Department of Mathematics, Politecnico di Milano, Milano, Italy

  6. Directional Constraints for Efficient Exploration in Safe Reinforcement Learning

    Jul 14, 2026Paolo Magliano, Puze Liu, Jan Peters +2Constrained RLRobotic RL

    Dipartimento di Automatica e Informatica, Politecnico di Torino, Turin, Italy · Tongji University, Shanghai Research Institute for Intelligent Autonomous Systems · German Research Center for AI (DFKI) +3

  7. Optimal Transport Q-Learning for Flow Policy Steering and Acceleration

    Jul 7, 2026Andreas Sochopoulos, Esmeralda S. Whitammer, Nikolaos Tsagkas +3Robot Policy AdaptationQ-Learning

    University of Edinburgh · 2Honda Research Institute Europe

  8. Intercepting an Agile Target with Net-Carrying Drones using Competitive Multi-Agent Reinforcement Learning

    Jul 7, 2026Timothée Gavin, Murat BronzRobotic RLCooperative MARL

    ENAC-LAB, LAAS-RIS · *IAS, Thales LAS, Rungis, France · †Dynamic Systems, OPTIM, Fédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse, Toulouse, France +2

  9. Diffusion-Guided Uncertainty-Aware Delayed Policy Optimization

    Jul 6, 2026Junqi Tu, Zejiao Liu, Fangfei Li +1Reinforcement LearningRobotic RL

    The Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China · The School of Mathematics, East China University of Science and Technology, Shanghai, China

  10. Closing the Reality Gap: Zero-Shot Sim-to-Real Deployment for Dexterous Force-Based Grasping and Manipulation

    Jul 6, 2026Zhe Zhao, Zhibin Li, Yilin Ou +1Robotic GraspingDexterous Manipulation

    State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications, China · University College London, United Kingdom

  11. HALO-WA: Hybrid-Attention Latent-Guided Online Reinforcement Learning for World-Action Models

    Jul 5, 2026Angen Ye, Weijie Ke, Xiaofeng Wang +7RL for RoboticsLong-Horizon Robotic Manipulation

    Institute of Automation, Chinese Academy of Sciences, Beijing, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · GigaAI, Beijing, China +1

  12. OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies

    Jul 4, 2026Kelin Yu, Haode Zhang, Harish Ravichandar +2Robot Policy AdaptationRobot Skill Learning

    University of Maryland, College Park · Georgia Institute of Technology

  13. WorldSample: Closed-loop Real-robot RL with World Modelling

    Jul 2, 2026Yuquan Xue, Le Xu, Zeyi Liu +5Robot Skill LearningWorld Models for Robotics

    1PINE Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore · Department of Electronic Engineering, Tsinghua University, Beijing, China · School of Automation, Central South University, Changsha, China +1

  14. CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning

    Jul 2, 2026Hexian Ni, Tao Lu, Yinghao CaiRobotic RLMultimodal Reward Modeling

    State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.

  15. One Demonstration Is Enough for Real-World Robotic Reinforcement Learning

    Jul 2, 2026Yuwan Liu, Hongze Yu, Song Liu +5Reinforcement LearningRobot Skill Learning

    National Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institution of Automation, Chinese Academy of Sciences, Beijing, China · Beijing Academy of Artificial Intelligence, Beijing, China · PKU-PsiBot Joint Lab, Beijing, China +2

  16. Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from Videos

    Jul 1, 2026Jinwen Wang, Youfang Lin, Xiaobo Hu +2Cross-Embodiment Robot LearningRobotic RL

    Beijing Jiaotong University, China · Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence, China

  17. Adapting Generalist Robot Policies with Semantic Reinforcement Learning

    Jun 30, 2026Jagdeep Singh Bhatia, Andrew Wagenmaker, William Chen +1Robot Policy LearningRobot Policy Adaptation

    U.C. Berkeley

  18. Warp RL: Reshaping Base Policy Distributions for Dynamics Adaptation

    Jun 30, 2026Ethan Hirschowitz, Fabio RamosRobot Policy AdaptationRobotic RL

    University of Sydney, Australia · NVIDIA, US

  19. CORE Planner: Contextual-memory Oriented Reinforcement-learning in Unknown Environments for Robot Navigation

    Jun 28, 2026Jintao Kong, Zhihao Zhang, Weihuang Chen +4Reinforcement LearningRobot Navigation

    State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University

  20. Learning Stable In-Grasp Manipulation in a Non-Dropping Action Space

    Jun 26, 2026Ha Thang Long Doan, Hikaru Arita, Kazuto Nakashima +1Robotic GraspingDexterous Manipulation

  21. Regularized Reward-Punishment Reinforcement Learning

    Jun 26, 2026Jiexin Wang, Eiji UchibeReinforcement LearningKL-Regularized RL

    Dept. of Brain Robot Interface, ATR Computational Neuroscience Laboratories, 2-2-2, Hikaridai, Seikacho, Soraku-gun, Kyoto, 619-0288, Japan

  22. SceneBot: Contact-Prompted General Humanoid Whole Body Tracking with Scene-Interaction

    Jun 25, 2026Sirui Chen, Shibo Zhao, Zhen Wu +3Robotic ControlHumanoid Robot Locomotion

    Stanford, Amazon FAR United States · Amazon FAR United States · CMU, Amazon FAR United States

  23. VibeAct: Vibration to Actions for Contact-Rich Reactive Robot Dexterity

    Jun 25, 2026Yuemin Mao, Uksang Yoo, Jean Oh +2Tactile SensingContact-Rich Robotic Manipulation

    1Carnegie Mellon University · 2Bosch Center for Artificial Intelligence

  24. Learning Robot Visual Navigation in Crowds via Intention-Aware Scene Representations

    Jun 24, 2026Han Bao, Bingyi Xia, Hanjing Ye +5Pedestrian Intention PredictionRobot Navigation

    Shenzhen Key Laboratory of Robotics Perception and Intelligence, Department of Electronic and Electrical Engineering, SUSTech, Shenzhen, China · Xiamen Key Laboratory of Visual Perception Technology and Application, and the Algorithm Research Center at Reconova Information Technology Co., Ltd. in Xiamen, China · Research Institute of MA&EI, Peng Cheng Laboratory, Shenzhen, China +1

  25. ROAD-VLA: Robust Online Adaptation via Self-Distillation for Vision-Language-Action Models

    Jun 24, 2026Kejing Wang, Toan Nguyen, Minh Hoang Nguyen +2Robot Policy AdaptationVLM Adaptation

    Applied Artificial Intelligence Initiative Deakin University Geelong, Australia · Air Force Research Laboratory USA

  26. RGB: RL Guided Whole-Body MPPI for Humanoid Control

    Jun 23, 2026Yunsoo Seo, Sol Choi, Euncheol Im +2Robot Trajectory TrackingHumanoid Robot Control

    Center for Humanoid Research, Korea Institute of Science and Technology (KIST), 02792 Seoul, South Korea · University of Texas at Austin, Austin, Texas 78712, USA · Department of Mechanical Engineering, Yonsei University, 03722, Seoul, South Korea +1

  27. LaGO: Latent Action Guidance for Online Reinforcement Learning

    Jun 23, 2026Kuan-Yen Liu, Ren-Jyun Huang, Ti-Rong WuLatent Action LearningLLM-Guided RL

    Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign, USA · Department of Computer Science, National Yang Ming Chiao Tung University, Taiwan · Institute of Information Science, Academia Sinica, Taiwan.

  28. Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries

    Jun 23, 2026Jannik Drotleff, Samuel Tovey, Paul Hohenberger +4Robotics SimulationRobot Navigation

    Institute for Computational Physics, University of Stuttgart, Allmandring 3, 70569 Stuttgart, Baden-Württemberg, Germany

  29. Learning Dexterous Manipulation Using Contact Wrench Guidance From Human Demonstration

    Jun 22, 2026Xinghao Zhu, Zixi Liu, Shalin Jain +17Contact-Rich Robotic ManipulationRobotic RL

    NVIDIA

  30. Learning Process Rewards via Success Visitation Matching for Efficient RL

    Jun 22, 2026Raymond Tsao, Andrew Wagenmaker, Sergey LevineProcess Reward ModelsCredit Assignment in RL

    UC Berkeley