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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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964 result(s) for “Imitation Learning” Page 6 of 20
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SHaRe-RL: Structured, Interactive Reinforcement Learning for Contact-Rich Industrial Assembly Tasks AI summary
Jannick Stranghöner, Philipp Hartmann, Lisa-Marie Weigelt, Marco Braun, Sebastian Wrede, Klaus Neumann
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Precedence-Aware Multi-UAV Task Allocation with an Attention-Based Reinforcement Learning Framework AI summary
Xurui Liu
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Vision-Based Policy Learning for High-Speed Autonomous Racing AI summary
Haoran Xu, Xianwei Chen, Yilin Lang, Qinyuan Ren
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Proactive Risk-Aware Trajectory Planning for Autonomous Driving in Unstructured Environments Via Reinforcement Learning with Adaptive Reward Design AI summary
Jiawei Du, Weiming Qu, Shenghai Yuan, Jia Wang, qifei bai, chengguang li, Xihong Wu, Dingsheng Luo
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Overcoming Imperfect Kinematics in Surgical Robotics through Sim-To-Real Visuomotor Learning AI summary
Zhaoxuan Yan, Kaizhong Deng, Zhaoyang Jacopo Hu, George Mylonas, Daniel Elson
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Human2Nav: Learning Crowd Navigation from Human Videos across Robots Via Feasibility-Guided Flow Matching AI summary
Shenghong Zhang, JunJie Chen, Sichi Yan, Yutong Ban, Xiao Li
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OCRA: Object-Centric Learning with 3D and Tactile Priors for Human-To-Robot Action Transfer AI summary
Kuanning Wang, Ke Fan, Yuqian Fu, Siyu Lin, Hu Luo, Daniel Seita, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue
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SURF-Loco: Mastering Complex Industrial Terrains with 3D Surfel-Based Reinforcement Learning for Legged Robots AI summary
Bailin He, Xiting Zhao, Qiao Sun, Xiaoyi Hu, haojie Liu, Jiangwei Zhong, Wenqiang Zhang
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DAPPER: Discriminability-Aware Policy-To-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition AI summary
Yuki Kadokawa, Jonas Frey, Takahiro Miki, Takamitsu Matsubara, Marco Hutter
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Learning Motion Skills with Adaptive Assistive Curriculum Force in Humanoid Robots AI summary
Zhanxiang Cao, Yang Zhang, Buqing Nie, Huangxuan Lin, Haoyang Li, Yizhi Chen, Xiaokang Yang, Yue Gao
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Graph-Based Multi-Agent Reinforcement Learning for Scalable UAV Formation Control and Target Tracking AI summary
Haowen Wang, Shuting Zhang, Guangchen Li
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MILD: Tractable Terrain Modeling for Learning Improved Bipedal Locomotion on Deformable Surfaces AI summary
Zeren Luo, Jiahui ZHANG, Zhe Xu, Wanyue Li, Xinqi Li, Xuechao Chen, Zhangguo YU, Annan Tang, Peng Lu
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Robot Crash Course: Learning Soft and Stylized Falling AI summary
Pascal Strauch, David Müller, Sammy Christen, Agon Serifi, Ruben Grandia, Espen Knoop, Moritz Bächer
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GRATE: A Graph Transformer-Based Deep Reinforcement Learning Approach for Time-Efficient Autonomous Robot Exploration AI summary
Haozhan Ni, Jingsong Liang, Chenyu He, Yuhong Cao, Guillaume Adrien Sartoretti
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Efficient and Versatile Quadrupedal Skating: Optimal Co-Design Via Reinforcement Learning and Bayesian Optimization AI summary
Hanwen Wang, Zhenlong Fang, Josiah Hanna, Xiaobin Xiong
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TADPO: Reinforcement Learning Goes Off-Road AI summary
Zhouchonghao Wu, Raymond Song, Vedant Mundheda, Luis E. Navarro-Serment, Christof Schoenborn, Jeff Schneider
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Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation AI summary
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Policy Diversification through Representation Distinguishability Regularization for Multi-Actor Deep Reinforcement Learning AI summary
Meng XU, Xinhong Chen, Shuguang Wang, Guanyi Zhao, Jianping Wang
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Efficiently Learning Robust Torque-Based Locomotion through Reinforcement with Model-Based Supervision AI summary
Yashuai Yan, Tobias Egle, Christian Ott, Dongheui Lee
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Curriculum Reinforcement Learning for Quadrotor Racing with Random Obstacles AI summary
Fangyu Sun, Fanxing Li, Yu Hu, Linzuo Zhang, Yueqian Liu, Wenxian Yu, Danping Zou
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ORN-CBF: Learning Observation-Conditioned Residual Neural Control Barrier Functions Via Hypernetworks AI summary
Bojan Derajic, Sebastian Bernhard, Wolfgang Hoenig
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Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning AI summary
Dwait Bhatt, Shih-Chieh Chou, Nikolay Atanasov
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Deformable Cluster Manipulation Via Whole-Arm Policy Learning AI summary
Jayadeep Jacob, Wenzheng Zhang, Houston Warren, Paulo Vinicius Koerich Borges, Fabio Ramos, Tirthankar Bandyopadhyay
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DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Densely Cluttered Environments AI summary
Lixin Xu, Zixuan Liu, ZHEWEI GUI, Jingxiang Guo, Zeyu Jiang, Tongzhou Zhang, Zhixuan Xu, Chongkai Gao, Lin Shao
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Learning Push-Grasp Synergy for Occluded Objects in Cluttered Environments AI summary
Ziang Li, Haorui Wu, Zhiqi Chen, Haozhe Zhang, Yuzhe Huang, Changshui Zhang
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SafeFlowMPC: Predictive and Safe Trajectory Planning for Robot Manipulators with Learning-Based Policies AI summary
Thies Oelerich, Gerald Ebmer, Christian Hartl-Nesic, Andreas Kugi
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Constructing and Navigating Connected Air Roads: A Safety-Critical Reinforcement Learning Approach for Multi-UAV Systems AI summary
Qihan Qi, Haojie Xia, Xinsong Yang, Jianquan Lu, Xingxing Ju
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Multivariate Active Learning and Adaptive Sampling with Multi-Kernel Gaussian Processes AI summary
Thien Hoang Nguyen, Nathan Wallace, Nicholas Harrison, and Salah Sukkarieh
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SEAL: Towards Safe Autonomous Driving Via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation AI summary
Benjamin Stoler, Ingrid Navarro, Jonathan Francis, Jean Oh
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Tactile Recognition of Both Shapes and Materials with Automatic Feature Optimization-Enabled Meta Learning AI summary
Hongliang Zhao, Wenhui Yang, Yang Chen, Zhuorui Wang, Baiheng Liu, Longhui Qin
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ARMOR: Attack-Resilient Reinforcement Learning Control for UAVs AI summary
Pritam Dash, Ethan Chan, Nathan P. Lawrence, Karthik Pattabiraman
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Global End-Effector Pose Control of an Underactuated Aerial Manipulator via Reinforcement Learning AI summary
Shlok Deshmukh, Javier Alonso-Mora, Sihao Sun
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Transferring Policy of Offline Reinforcement Learning from Hybrid Dataset to Real World Via Progressive Neural Network AI summary
Pengyu Zhao, Zheng Fang, Tongxu Ai, Eric Nichols, Randy Gomez, Bo He, Guangliang Li
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Learning What Matters: Task Tailored Dynamics Models through Differentiable MPC AI summary
Jan Węgrzynowski, Piotr Kicki, Grzegorz Czechmanowski, Krzysztof, Tadeusz Walas
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Learning Dynamical System-Based Robot Motions from Demonstrations Via ODE-Driven Diffeomorphic Mappings AI summary
Haoyu Zhang, Long Cheng
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A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7 AI summary
Hojoon Lee, Takuma Seno, Jun Jet Tai, Kaushik Subramanian, Kenta Kawamoto, Peter Stone, Peter Wurman
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Supportive Relationships-Aware Hierarchical Reinforcement Learning for Efficient Ex-Situ Object Rearrangement AI summary
leibing xiao, Xuemei Wang, Zhao Zhongqiang, Yachao Wang, Jin Liu, Chaoqun Wang
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Hierarchical Online Learning for Adaptive Sampling of Discrete Species Distributions with an AUV AI summary
Jessica Todd, Seth McCammon, Dana Yoerger
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Learning Dexterous Manipulation with Quantized Hand State AI summary
Ying Feng, Hongjie Fang, Yinong He, Jingjing Chen, Chenxi Wang, Zihao He, Ruonan Liu, Cewu Lu
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X-Nav: Learning End-To-End Cross-Embodiment Navigation for Mobile Robots AI summary
Haitong Wang, Aaron Hao Tan, Angus Fung, Goldie Nejat
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Environment-Aware Learning of Smooth GNSS Covariance Dynamics for Autonomous Racing AI summary
Y. Deemo Chen, Arion Zimmermann, Thomas Berrueta, Soon-Jo Chung
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CLF-RL: Control Lyapunov Function Guided Reinforcement Learning AI summary
Kejun Li, Zachary Olkin, Yisong Yue, Aaron Ames
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FALCO: Foundation Model Guided Active Learning for Cost-Effective Off-Road Freespace Detection AI summary
Shuai Wang, Chenxin Li, Yintong Chen, Yaobo Jia, Hongze Li, Chen Min, Jilin Mei, Huijing Zhao
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Contrastive Learning on 3D Point Clouds for Robotic Geometric Defect Detection AI summary
Alexander Tarvo, Yusen Wan, Xu Chen
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LARVO-RRT*: Learning Guided Adaptive Reconfiguration with Vector Field Oriented RRT* AI summary
Wijenayaka Kankanamge Rishan Sachinthana, Bhagya Prasangi Samarakoon Samarakoon Mudiyanselage, Viraj Jagathpriya Muthugala Muthugala Arachchige, Mohan Rajesh Elara
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Learning Load-Balanced Distributed Coverage for Robot Swarms Via Graph Attention Networks AI summary
∗, Wenzong Ma , Hui Xiong , and Yiding Ji
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Weakly-Supervised Learning for Physics-Informed Neural Motion Planning Via Sparse Roadmap AI summary
Ruiqi Ni, Yuchen Liu, Ahmed H. Qureshi
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Bi-Hap: A Bi-Directional Learning-Based Control and Momentum-Based Haptic Feedback System for Dexterous In-Hand Telemanipulation AI summary
Haoyang Wang, Haoran Guo, Zhengxiong Li, Lingfeng Tao
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DynDLO: Learning-Based Trajectory Planning for Dynamic Robotic Manipulation of Deformable Linear Objects AI summary
Daniele Maria Liuni, Alessandro Bartesaghi, Andrea Monguzzi, Alessandra Miuccio, Andrea Maria Zanchettin, Paolo Rocco
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Proprioceptive Image: An Image Representation of Proprioceptive Data from Quadruped Robots for Contact Estimation Learning AI summary
Gabriel Fischer Abati, João Carlos Virgolino Soares, Giulio Turrisi, Victor Barasuol, Claudio Semini
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