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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2842 result(s) for “Model Learning for Control” Page 20 of 57
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AutoFocus-IL: VLM-Based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations AI summary
Litian Gong, Fatemeh Bahrani, Yutai Zhou, Amin Banayeeanzade, Jiachen Li, Erdem Bıyık
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Seeing the Bigger Picture: 3D Latent Mapping for Mobile Manipulation Policy Learning AI summary
Sunghwan Kim, Woojeh Chung, Zhirui Dai, Dwait Bhatt, Arth Shukla, Hao Su, Yulun Tian, Nikolay Atanasov
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Single-View 3D-Aware Representations for Reinforcement Learning by Cross-View Neural Radiance Fields AI summary
Daesol Cho, Seungyeon Yoo, Dongseok Shim, H. Jin Kim
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Mixed Reality-Based, Immersive, Semi-Autonomous Robotic Telemanipulation for the Execution of Peg-In-Hole Tasks AI summary
Shifei Duan, Francesco De Pace, Zhe Wang, Minas Liarokapis
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LEAR: Learning Edge-Aware Representations for Event-To-LiDAR Localization AI summary
Kuangyi Chen, Jun Zhang, Yuxi Hu, Yi Zhou, Friedrich Fraundorfer
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LLM-Guided Task and Affordance-Level Exploration in Reinforcement Learning AI summary
Jelle Douwe Luijkx, RUNYU MA, Zlatan Ajanovic, Jens Kober
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Active Scene Reconstruction with Topological Reasoning and Semantic-Augmented Reinforcement Learning AI summary
Yiqing Yuan, Zhi Li, Hao Ren, Kairao Zheng, Hui Cheng
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Contact-Safe Reinforcement Learning with ProMP Reparameterization and Energy Awareness AI summary
Bingkun Huang, Yuhe Gong, Zewen Yang, Tianyu REN, Luis Figueredo
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Squeezing the Last Drop of Accuracy: Hand-Eye Calibration Via Deep Reinforcement Learning-Guided Pose Tuning AI summary
Seunghui Shin, Daeho Kim, Hyoseok Hwang
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Scaling Single Human Demonstrations for Imitation Learning Using Generative Foundational Models AI summary
Nick Heppert, Minh Quang Nguyen, Abhinav Valada
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Manifold-Constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning AI summary
Qingyi Chen, Ruiqi Ni, Junyoung Kim, Ahmed H. Qureshi
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Toward Human-Like Assistance: Detecting Help-Seeking in Human�Robot Collaboration Via Implicit Signals AI summary
Ane San Martin∗, Ander Iriondo, Michael Hagenow, Julie Shah, Johan Kildal, and Elena Lazkano
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R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations AI summary
Connor Mattson, Varun Raveendra, Ellen Novoseller, Nicholas Waytowich, Vernon Lawhern, Daniel Brown
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CLOVER: Context-Aware Long-Term Object Viewpoint and Environment Invariant Representation Learning AI summary
Amanda Adkins, Dongmyeong Lee, Joydeep Biswas
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URPlanner: A Universal Paradigm for Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning AI summary
Fengkang Ying, Hanwen Zhang, Haozhe Wang, Huishi Huang, Marcelo H Ang Jr
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Influence of Gripper Design on Human Demonstration Quality for Robot Learning AI summary
Gina Georgadarellis, Natalija Beslic, Seonhun Lee, Frank Sup IV, Meghan Huber
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Drive in Corridors: Enhancing the Safety of End-To-End Autonomous Driving Via Corridor Learning and Planning AI summary
Zhiwei Zhang, Ruichen Yang, Ke Wu, Zijun Xu, Jingchu Liu, Lisen Mu, Zhongxue Gan, Wenchao Ding
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Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning AI summary
Xiatao Sun, Yuxuan Wang, Shuo Yang, Yinxing Chen, Daniel Rakita
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CRED: Counterfactual Reasoning and Environment Design for Active Preference Learning AI summary
Yi-Shiuan Tung, Gyanig Kumar, Wei Jiang, Bradley Hayes, Alessandro Roncone
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Agile and Controllable Omnidirectional Fast-Start Maneuvers of Robotic Fish Via Bio-Inspired Reinforcement Learning AI summary
Xu Huang, Xiaozhu Lin, Xiaopei Liu, Yang Wang
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DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation AI summary
Jiayuan Zhang, Ruihai Wu, Haojun Chen, Yuran Wang, Yifan Zhong, Ceyao Zhang, Yaodong Yang, Yuanpei Chen
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Learning Constraint-Aware Dynamical Systems from Human Demonstrations for Constrained Manipulation Tasks AI summary
Soyoun Sung, Keehoon Kim
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Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data AI summary
Tianyu Li, Yihan Li, Zizhe Zhang, Nadia Figueroa
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FUNCanon: Learning Pose-Aware Action Primitives Via Functional Object Canonicalization for Generalizable Robotic Manipulation AI summary
Hongli Xu, Lei Zhang, Xiaoyue Hu, Boyang Zhong, Kaixin Bai, Zoltan-Csaba Marton, Zhenshan Bing, Zhaopeng Chen, Alois Knoll, Jianwei Zhang
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TACC: Multi-Agent Reinforcement Learning for Task Allocation with Communication Coordination in UAV Swarms AI summary
Zehao Xiong, Yexun Xi, Yizhe Cao, Chuan Li, Rong Li, Lixian Shen and Jie Li∗
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SIGMA: An Agent-Based Modeling UAV Swarm Simulator for Swarm Intelligence Algorithms AI summary
Sheng Zhang, Juan Li, Chang Liu, Lei Fu, Zehao Bai, Jie Li
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Hierarchical DLO Routing with Reinforcement Learning and In-Context Vision-Language Models AI summary
Mingen Li, Houjian Yu, Yixuan Huang, Youngjin Hong, Hantao Ye, Changhyun Choi
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KISS-IMU: Self-Supervised Inertial Odometry with Motion-Balanced Learning and Uncertainty-Aware Inference AI summary
Jiwon Choi, Hogyun Kim, Geonmo Yang, Juhui Lee, Younggun Cho
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HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning AI summary
Lavanya Ratnabala,, Robinroy Peter,, Aleksey Fedoseev, and Dzmitry Tsetserukou
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PokeNet: Learning Kinematic Models of Articulated Objects from Human Observations AI summary
Anmol Gupta, Weiwei Gu, Omkar Deepak Patil, Jun Ki Lee, Nakul Gopalan
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Sight Over Site: Perception-Aware Reinforcement Learning for Efficient Robotic Inspection AI summary
Richard Kuhlmann, Jakob Wolfram, Boyang Sun, Jiaxu Xing, Davide Scaramuzza, Marc Pollefeys, Cesar Cadena
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Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors AI summary
Şebnem Sarıözkan, HÃ1⁄4rkan Şahin, Olaya Álvarez-TuñÃ3n, Erdal Kayacan
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Learning Social Navigation from Positive and Negative Demonstrations and Rule-Based Specifications AI summary
Chanwoo Kim, JiHwan Yoon, Hyeonseong Kim, Taemoon Jeong, Changwoo Yoo, Seungbeen Lee, SooHwan Byeon, Hoon Chung, Matthew Pan, Jean Oh, Kyungjae Lee, Sungjoon Choi
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Learning to Throw Objects Safely in Multi-Obstacle Environments AI summary
Mohammadreza Kasaei, Klemen Voncina, Hamidreza Kasaei
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Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation AI summary
Anran Zhang, Hanzhi Chen, Yannick Burkhardt, Yao Zhong, Johannes Betz, Helen Oleynikova, Stefan Leutenegger
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History-Aware Visuomotor Policy Learning Via Point Tracking AI summary
Jingjing Chen, Hongjie Fang, Chenxi Wang, Shiquan Wang, Cewu Lu
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Learning Adaptive Pseudo-Label Selection for Semi-Supervised 3D Object Detection AI summary
Taehun Kong, Tae-Kyun Kim
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Self-Organised Sequential Multi-Agent Reinforcement Learning for Closely Cooperation Tasks AI summary
Hao Fu, YOU MINGYU, Zhou Hongjun, Bin He
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Hydrodynamics Regularization in Reinforcement Learning for Navigating Crowded Scenarios AI summary
Lai Pingrui, Pan Renjie, Yu Jiaqi, Yang Hua
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RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying AI summary
Jiahui Zuo, Boyang Zhang, Fumin Zhang
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Physics-Informed Machine Learning for Efficient Sim-To-Real Data Augmentation in Micro-Object Pose Estimation AI summary
Tan Zongcai, Lan Wei, Dandan Zhang
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Learning a Shape-Adaptive Assist-As-Needed Rehabilitation Policy from Therapist-Informed Input AI summary
Zhimin Hou, Jiacheng Hou, Xiao Chen, Hamid Sadeghian, Tianyu REN, Sami Haddadin
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Pushing the Limits of Reactive Navigation: Learning to Escape Local Minima AI summary
Isar Meijer, Michael Pantic, Helen Oleynikova, Roland Siegwart
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Learning to Anchor Visual Odometry: KAN-Based Pose Regression for Planetary Landing AI summary
Leizheng Shu
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SICNav-Diffusion: Safe and Interactive Crowd Navigation with Diffusion Trajectory Predictions AI summary
Sepehr Samavi, Anthony Jia-Hao Lem, Fumiaki Sato, Sirui Chen, Qiao Gu, Keijiro Yano, Angela P. Schoellig, Florian Shkurti
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A Natural Language Interface for Multi-Constraint Spatiotemporal Planning Via LLM-Parameterized Mixed-Integer Scheduling and A* AI summary
Sean Ye, Matthew Luebbers, Matthew Gombolay
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Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving AI summary
Ahmed Abouelazm, Jonas Michel, Daniel Bogdoll, Philip Schörner, Johann Marius Zöllner
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VEGA: A Geometry-Aware Enveloping Layer-Based Path Planning Strategy for Accurate Robotic 3D Printing AI summary
Won Bin Choi, Wan Kyun Chung
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On the Computation of Sensitivity Tubes AI summary
Andrea Pupa, Tommaso Belvedere, Cristian Secchi, Paolo Robuffo Giordano
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RoboPCA: Pose-Centered Affordance Learning from Human Demonstrations for Robot Manipulation AI summary
Zhanqi Xiao, Ruiping Wang, Xilin Chen
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