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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2880 result(s) for “Integrated Planning and Learning” Page 15 of 58
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The Temporal Trap: Entanglement in Pre-Trained Visual Representations for Visuomotor Policy Learning AI summary
Nikolaos Tsagkas, Andreas Sochopoulos, Duolikun Danier, Chris Xiaoxuan Lu, Oisin Mac Aodha
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An Alignment-Based Approach to Learning Motions from Demonstrations AI summary
Alex Cuellar, Christopher K Fourie, Julie A. Shah
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Progress Constraints for Reinforcement Learning in Behavior Trees AI summary
Finn Rietz, Mart Karta�ev, Petter Ogren, Johannes A. Stork
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Unlocking the Potential of Soft Actor-Critic for Imitation Learning AI summary
Nayari Marie Lessa, Melya Boukheddimi, Frank Kirchner
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OCLPlace: Online Continual Learning on LiDAR Streams for Place Recognition AI summary
BinHong Liu, Kaixiao Ye, YangWang Fang, Zhi Yan, Tao Yang
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MTIL: Encoding Full History with Mamba for Temporal Imitation Learning AI summary
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Multi-Dimensional Perturbation Strategies for Adversarial Attacks in Multi-Agent Deep Reinforcement Learning AI summary
Runwen Chen, shuo feng, Tianzhe Qi, yucheng shi, Xiaorong Hu, Yang Zhao, bo sun, Zhao Jin, Yizhe Luo, Mingliang Xu
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BodyGuards: Escorting by Multiple Robots in Unknown Environment under Limited Communication AI summary
Zhuoli Tian, Yanze Bao, Meng Guo
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A Closed-Chain Approach to Generating Affordance Joint Trajectories for Robotic Manipulators AI summary
Janak Panthi, Farshid Alambeigi, Mitchell Pryor
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Reinforcement Learning-Based Robust Wall Climbing Locomotion Controller in Ferromagnetic Environment AI summary
Yong Um, Young-Ha Shin, Joon-Ha Kim, Soonpyo Kwon, Hae-Won Park
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Decentralized Reinforcement Learning for Multi-Agent Multi-Resource Allocation Via Dynamic Cluster Agreements AI summary
Antonio Marino, Esteban Restrepo, Claudio Pacchierotti, Paolo Robuffo Giordano
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Agile Hauler Curriculum: Learning High-Speed Locomotion for Robots under Demanding Payloads AI summary
Yawen Zhou, Haopeng Tang, Huiqiao Fu, Peng Li
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TOLEBI: Learning Fault-Tolerant Bipedal Locomotion Via Online Status Estimation and Fallibility Rewards AI summary
Hokyun Lee, Woo-Jeong Baek, Junhyeok Cha, Jaeheung Park
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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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Learning-Based Observer for Coupled Disturbance AI summary
Jindou Jia, Meng Wang, Zihan Yang, Bin Yang, Yuhang Liu, Kexin Guo, Xiang Yu
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Lightweight Learning-Based Feature Selection for Real-Time Optical Flow Navigation on a Quadrotor Platform AI summary
Ali Abosaad, Jinjun Shan
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Learning-Based Fusion for Robust Multi-Spectral Visual Servoing AI summary
Enrico Fiasche, Siddharth Singh Savner, Ezio Malis, Philippe Martinet
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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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Multi-Task Reinforcement Learning of Drone Aerobatics by Exploiting Geometric Symmetries AI summary
Zhanyu Guo,, Zikang Yin,, Guobin Zhu,, Shiliang Guo, and Shiyu Zhao∗
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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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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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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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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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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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Learning Dexterous Manipulation Skills from Imperfect Simulations AI summary
Elvis Hsieh, Wen-Han Hsieh, Yen-Jen Wang, Toru Lin, Jitendra Malik, Koushil Sreenath, Haozhi Qi
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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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SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks AI summary
Zirui Zang, Ahmad Amine, Nick-Marios Kokolakis, Truong Xuan Nghiem, Ugo Rosolia, Rahul Mangharam
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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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RM-RL: Role-Model Reinforcement Learning for Precise Robot Manipulation AI summary
Xiangyu Chen, Chuhao Zhou, Yuxi Liu, Jianfei Yang
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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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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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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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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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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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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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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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