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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2888 result(s) for “Deep Learning in Grasping and Manipulation” Page 18 of 58
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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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Full-Scale Autonomous Highway Inspection with Quadruped Robot: Multi-Level Locomotion Learning in Complex Environments AI summary
Chenxiang Ma, Chengcheng Xu, Feng Wang
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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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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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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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Cross-Embodiment Imitation: Learning a Unified Latent Space for Multi-Robot Control AI summary
Yashuai Yan, Dongheui Lee
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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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SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning AI summary
Yu Zhang, Yuqi Xie, Huihan Liu, Rutav Shah, Michael Wan, Linxi Fan, Yuke Zhu
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Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation AI summary
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Robust Task Planning Via Failure Detection Using Scene Graph from Multi-View Images AI summary
Haechan Chong, Jongwon Lee, Hyemin Ahn
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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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Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning AI summary
Dwait Bhatt, Shih-Chieh Chou, Nikolay Atanasov
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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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KiRAS: Keyframe Guided Self-Imitation for Robust and Adaptive Skill Learning in Quadruped Robots AI summary
Xiaoyi Wei, Peng Zhai, Jiaxin Tu, Yueqi ZHang, Yuqi LI, Zonghao ZHang, Hu Zhou, Lihua ZHang
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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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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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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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Observer�Actor: Active Vision Imitation Learning with Sparse-View Gaussian Splatting AI summary
Yilong Wang, Cheng Qian, Ruomeng Fan, Edward Johns
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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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T2S: Tokenized Skill Scaling for Lifelong Imitation Learning AI summary
Hongquan Zhang, Jingyu Gong, Zhang Zhizhong, Xin TAN, Yuan Xie
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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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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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Traversability-Aware Legged Navigation by Learning from Real-World Visual Data AI summary
Hongbo Zhang, Zhongyu Li, Xuanqi Zeng, Laura Smith, Kyle Stachowicz, Dhruv Shah, Linzhu Yue, Zhitao Song, Weipeng Xia, Sergey Levine, Koushil Sreenath, Yunhui Liu
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Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation AI summary
Fabian Flürenbrock, Yanick Büchel, Johannes Köhler, Marianne Schmid Daners, Melanie N. Zeilinger
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Scalable Multi-Agent Reinforcement Learning Framework for Multi-Machine Tending AI summary
Abdalwhab Bakheet Mohamed Abdalwhab, Giovanni Beltrame, David St-Onge
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Placeit! a Framework for Learning Robot Object Placement Skills AI summary
Amina Ferrad, Johann Huber, François Hélénon, Julien Gleyze, Mahdi Khoramshahi, Stéphane Doncieux
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Impact of Different Failures on a Robot�s Perceived Reliability AI summary
Andrew Violette, Zhanxin Wu, Haruki Nishimura, Masha Itkina, Leticia Priebe Rocha, Mark Zolotas, Guy Hoffman, Hadas Kress-Gazit
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Receding Horizon Reinforcement Learning with Autoregressive Model for Motion Control of Autonomous Vehicles AI summary
Xin Yin, Haotian CAO, Xinglong Zhang, Qingwen Ma, Xin Xu, Haibin Xie
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Learning Maximal Safe Sets Using Hypernetworks for MPC-Based Local Trajectory Planning in Unknown Environments AI summary
Bojan Derajic, Mohamed-Khalil Bouzidi, Sebastian Bernhard, Wolfgang Hoenig
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Transformer-Based Hierarchical Reinforcement Learning for Sequential Decision-Making in Swarm Confrontation AI summary
Ruozhai Sun, Qizhen Wu, Lei Chen
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Air Compressor Control Optimization in Commercial Vehicles Using Reinforcement Learning AI summary
Fabian Schuppert,,∗, Raul Gorek,, Bodo Rosenhahn and Timo von Marcard
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Adaptor: Advancing Assistive Teleoperation with Few-Shot Learning and Cross-Operator Generalization AI summary
Yu Liu, Yihang Yin, Tianlv Huang, Fei Yan, Yuan Xu, Weinan Hong, Wei Han, Yue Cao, Xiangyu Chen, Zipei Fan, Xuan Song
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Failure Identification in Imitation Learning Via Statistical and Semantic Filtering AI summary
Quentin Rolland,, Fabrice Mayran de Chamisso, Jean-Baptiste Mouret
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Robust Robot Navigation through Failure-Aversion Learning AI summary
Zhifeng Yu, Xuyang Li, Jianwu Fang, Guangliang Li, Jianru Xue
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Scaling Multi-Agent Reinforcement Learning for Underwater Acoustic Tracking Via Autonomous Vehicles AI summary
Matteo Gallici, Ivan Masmitja, Mario Martin
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