Research Analyzer

ICRA 2026

2898 papers · 2898 AI summaries · 2026

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1605 result(s) for “Stable Dynamical System Learning” Page 15 of 33
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EasyMimic: A Low-Cost Framework for Robot Imitation Learning from Human Videos AI summary
Tao Zhang, Song Xia, Ye Wang, Qin Jin
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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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BIM-Informed Visual SLAM for Construction Monitoring AI summary
Asier Bikandi-Noya, Miguel Fernandez-Cortizas, Muhammad Shaheer, Ali Tourani, Holger Voos, Jose Luis Sanchez-Lopez
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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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Deep Reinforcement Learning for Hip Exoskeleton Control Via Predictive Simulation of Reflex-Based Human Gait AI summary
Hossein Barati, Sangdo Kim, Thanh Xuan Nguyen, Jongwon Lee, Young Jin Park
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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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Multi-Quadruped Cooperative Object Transport: Learning Decentralized Pinch-Lift-Move AI summary
Bikram Pandit, Aayam Shrestha, Alan Fern
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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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Robotic Relay of Free-Space Optical Beams for Medical Applications AI summary
Guangshen Ma, Patrick Codd, Mark Draelos
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Learning Multiple Initial Solutions to Optimization Problems AI summary
Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Peter Karkus
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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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ViSA-Flow: Accelerating Robot Skill Learning Via Large-Scale Video Semantic Action Flow AI summary
Changhe Chen, Quantao Yang, Xiaohao Xu, Nima Fazeli, Olov Andersson
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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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Touch with Insight: Physics-Aware Data-Driven Learning for EIT-Based Tactile Sensing AI summary
Kiyanoush Nazari, Yunqi Huang, David Hardman, Fumiya Iida, Thomas George Thuruthel
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Learning Unified Probabilistic Spatial Relation Representation from Visual Demonstrations AI summary
Paul Emil Hannuschka, Jianfeng Gao, Tamim Asfour
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FT-CPG: Learning Central Pattern Generators for Fault-Tolerant Quadruped Locomotion under Multi-Joint Failures AI summary
Pei Zhang, Zhaobo Hua, Qiyu Qiu, Jinliang Ding
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Adaptive Legged Locomotion Via Online Learning for Model Predictive Control AI summary
Hongyu Zhou, Xiaoyu Zhang, Vasileios Tzoumas
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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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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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Dribble Master: Learning Agile Humanoid Dribbling through Legged Locomotion AI summary
Zhuoheng Wang, Jinyin Zhou, Qi Wu
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PLOP: Particle Filtering for Learning Object Physics from Robot Interaction Videos AI summary
Junyu Nan, Sergey Zakharov, Kris Kitani
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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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Sce2DriveX: A Generalized MLLM Framework for Scene-To-Drive Learning AI summary
Zhao Rui, Yuan Qirui, li jinyu, Hu Haofeng, Li Yun, Gao Zhenhai, Gao Fei
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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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Field Calibration of Hyperspectral Cameras for Terrain Inference AI summary
Nathaniel Hanson, Benjamin Pyatski, Sam Hibbard, Gary Lvov, Oscar De La Garza, Charles A DiMarzio, Kristen Dorsey, Taskin Padir
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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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Distributed AI for Robotics AI summary
Satyabhama Singh, Lars Wulfert, Hendrik Woehrle
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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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PDLNet: Learning Point Cloud Distortion for Unsupervised Cross-Domain Point Cloud Segmentation in Adverse Weather AI summary
Shuhua Dong, Minxian Li, Haofeng Zhang
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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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Best of Sim and Real: Decoupled Visuomotor Manipulation Via Learning Control in Simulation and Perception in Real AI summary
Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Shuo Wang, Xingyu Lin, Yang Gao
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Learning Affordances at Inference-Time for Vision-Language-Action Models AI summary
Ameesh Shah, William Chen, Adwait Godbole, Federico Mora, Sanjit A. Seshia, Sergey Levine
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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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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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NaviGait: Navigating Dynamically Feasible Gait Libraries Using Deep Reinforcement Learning AI summary
Neil Janwani, Varun Madabushi, Maegan Tucker
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Teaching to Individual Needs: Bidirectional Teacher-Student Learning for Wheeled-Legged Locomotion AI summary
Guangsheng Li, Charles Wu, XinHua Zheng, shiyu zhu, Shenglan Liu
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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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Tiny-DroNeRF: Tiny Neural Radiance Fields Aboard Federated Learning-Enabled Nano-Drones AI summary
Ilenia Carboni, Elia Cereda, Lorenzo Lamberti, Daniele Malpetti, Francesco Conti, Daniele Palossi
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DRL-SFM: Learning Social Navigation from Costmaps and Social Forces for Mobile Robots and Intelligent Wheelchairs AI summary
Matthias Kalenberg, Kilian Gerhard Probst, Andreas Gründer, Christopher May, Jonas Walter, Jörg Franke
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Learning to Grasp by Integrating Human Preferences and Success Feedback AI summary
Juyeol Park, Byungjin Ko, Jong-Wan Yoon, Taejoon Park, Homin Park
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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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Deep Photonic Reservoir Computer Meets UAV Control: An Ultra-Fast Learning-Based Compensator for Agile Flight in Confined Space AI summary
Qinxiao Ma, Ruiqian Li, Cheng Wang, Yang Wang
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MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos AI summary
Rutav Shah, Shuijing Liu, Qi Wang, Zhenyu Jiang, Sateesh Kumar, Mingyo Seo, Roberto Martín-Martín, Yuke Zhu
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Reward Evolution with Graph-Of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning AI summary
Changwei Yao, Xinzi Liu, Chen Li, Marios Savvides
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Learning to Anchor Visual Odometry: KAN-Based Pose Regression for Planetary Landing AI summary
Leizheng Shu
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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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