Research Analyzer

ICRA 2026

2898 papers · 2898 AI summaries · 2026

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1605 result(s) for “Stable Dynamical System Learning” Page 12 of 33
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Accelerating Residual Reinforcement Learning with Uncertainty Estimation AI summary
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
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Beyond the Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning AI summary
Saharsh Saharsh, Shubham Sonkar, Pushpak Jagtap, Ravi Prakash
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SPLC: Social Preference Learning for Crowd Robot Navigation AI summary
Zixuan Chen, Hao Fu, Haiwen Hu, Shiquan Zheng
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Beyond the Majority: Long-Tail Imitation Learning for Robotic Manipulation AI summary
Junhong Zhu, Ji Zhang, Jingkuan Song, Lianli Gao, Heng Tao Shen
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Connectivity-Aware Representations for Constrained Motion Planning Via Multi-Scale Contrastive Learning AI summary
Suhyun Jeon, Yumin Lim, Woo-Jeong Baek, Hyeonseo Kim, Suhan Park, Jaeheung Park
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Physics-Constrained Imitation Learning for Autonomous Racing AI summary
Haohan Yang, Haochen Liu, Zhou Yanxin, Shuge Wu, Chen Lv
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Learning Composable Skills by Discovering Spatial and Temporal Structure with Foundation Models AI summary
Neil Nie, Wenlong Huang, Jiayuan Mao, Li Fei-Fei, Weiyu Liu, Jiajun Wu
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Learning-Based Robust Control: Unifying Exploration and Distributional Robustness for Reliable Robotics Via Free Energy AI summary
Hozefa Jesawada, Giovanni Russo, Abdalla Swikir, Fares Abu-Dakka
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Quantum Machine Learning and Grover�s Algorithm for Quantum Optimization of Robotic Manipulators AI summary
Hassen Nigatu Sirag, Gaokun Shi, Jituo Li, Jin Wang, GuoDong Lu, Howard Li
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Reinforcement Learning for Active Perception in Autonomous Navigation AI summary
Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis
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CLAR: Learning 3D Representations for Robotic Manipulation by Fusing Masked Reconstruction with Multi-Level Contrastive Alignment AI summary
Wenbo Cui, Chengyang Zhao, Yuhui Chen, Haoran Li, Zhizheng Zhang, Dongbin Zhao, He Wang
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Parallel Heuristic Search As Inference for Actor-Critic Reinforcement Learning Models AI summary
Hanlan Yang, Itamar Mishani, Luca Pivetti, Zachary Kingston, Maxim Likhachev
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Robust Monocular Visual Odometry Via Dual-Paradigm Curriculum Learning AI summary
Assaf Lahiany, Oren Gal
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EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations AI summary
Justin Yu, Yide Shentu, Di Wu, Pieter Abbeel, Ken Goldberg, Shiyao Wu
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Demonstration-Augmented Deep Reinforcement Learning with Mixed Reality Human-In-The-Loop Guidance AI summary
Mohammad-Ehsan Matour, Alexander Winkler
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CDC-SLAM: Switchable Centralized and Distributed Collaborative LiDAR SLAM Framework for Robotic Swarms AI summary
Xiangnan Liu, Xiang Huo, Haifei Zhu, Xuefeng Zhou, Yisheng Guan, Hong Zhang, Weinan Chen∗
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Development of a 7-DOF Position-Orientation Decoupled Microsurgical Robot with Motorized Instruments for Microvascular Anastomosis AI summary
Dunfa Long, Chen Shaoan, Shuai Ao, Zhi-Qiang ZHANG, Chengzhi Hu, Chaoyang Shi
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Above and Below: Heterogeneous Multi-Robot SLAM across Surface and Underwater Domains AI summary
John McConnell, Armon Shariati, Paul Szenher, Yaxuan Li
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Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion AI summary
Yuanhong Zeng, Anushri Dixit
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Shifted Flow Policy: Uncertainty-Aware Time Reparameterization for Visuomotor Learning AI summary
Dasom Ahn, Chanhyuk Jung, Joonki Baek, Sungkeun Yoo, Byoung Chul Ko
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Simultaneous Deep Model-Based Reinforcement Learning and State Inference under Partial Observability AI summary
William Cong, Josiah Hanna
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Swimming under Constraints: A Safe Reinforcement Learning Framework for Quadrupedal Bio-Inspired Propulsion AI summary
Xinyu Cui, Fei Han, Hang Xu, Yongcheng Zeng, Luoyang Sun, RuiZhi Zhang, Jian Zhao, Haifeng Zhang, Weikun Li, Hao Chen, Jun Wang, Dixia Fan
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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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RM-RL: Role-Model Reinforcement Learning for Precise Robot Manipulation AI summary
Xiangyu Chen, Chuhao Zhou, Yuxi Liu, Jianfei Yang
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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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Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt AI summary
Xiang Zhu, Yichen Liu, Hezhong Li, Jianyu Chen
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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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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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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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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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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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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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TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning AI summary
Momchil Tomov, Sang Uk Lee, Hansford Hendargo, Jinwook Huh, Teawon Han, Forbes Howington, Rafael Rodrigues da Silva, Gianmarco Bernasconi, Marc Heim, Samuel Findler, Xiaonan Ji, Alexander Boule, Michael Napoli, Kuo Chen, Jesse Miller, Boaz Cornelis Floor, Yunqing Hu
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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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Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery AI summary
Yichang Liu, Tianyu Wang, Ziyi Ye, Yawei Li, Yu-Gang Jiang, Shouyan Wang, Yanwei Fu
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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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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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Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning AI summary
Tianchong Jiang, Jingtian Ji, Xiangshan Tan, Jiading Fang, Anand Bhattad, Vitor Guizilini, Matthew Walter
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