Research Analyzer

ICRA 2026

2898 papers · 2898 AI summaries · 2026

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1140 result(s) for “Representation Learning” Page 10 of 23
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Global End-Effector Pose Control of an Underactuated Aerial Manipulator via Reinforcement Learning AI summary
Shlok Deshmukh, Javier Alonso-Mora, Sihao Sun
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Transferring Policy of Offline Reinforcement Learning from Hybrid Dataset to Real World Via Progressive Neural Network AI summary
Pengyu Zhao, Zheng Fang, Tongxu Ai, Eric Nichols, Randy Gomez, Bo He, Guangliang Li
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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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A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7 AI summary
Hojoon Lee, Takuma Seno, Jun Jet Tai, Kaushik Subramanian, Kenta Kawamoto, Peter Stone, Peter Wurman
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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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EDAIL: Adversarial Imitation Learning Via Exploration-Driven Data Augmentation AI summary
Pengcheng Li, qiang fang, Xin Xu
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Learning Dexterous Manipulation with Quantized Hand State AI summary
Ying Feng, Hongjie Fang, Yinong He, Jingjing Chen, Chenxi Wang, Zihao He, Ruonan Liu, Cewu Lu
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X-Nav: Learning End-To-End Cross-Embodiment Navigation for Mobile Robots AI summary
Haitong Wang, Aaron Hao Tan, Angus Fung, Goldie Nejat
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Environment-Aware Learning of Smooth GNSS Covariance Dynamics for Autonomous Racing AI summary
Y. Deemo Chen, Arion Zimmermann, Thomas Berrueta, Soon-Jo Chung
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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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Bi-Hap: A Bi-Directional Learning-Based Control and Momentum-Based Haptic Feedback System for Dexterous In-Hand Telemanipulation AI summary
Haoyang Wang, Haoran Guo, Zhengxiong Li, Lingfeng Tao
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DynDLO: Learning-Based Trajectory Planning for Dynamic Robotic Manipulation of Deformable Linear Objects AI summary
Daniele Maria Liuni, Alessandro Bartesaghi, Andrea Monguzzi, Alessandra Miuccio, Andrea Maria Zanchettin, Paolo Rocco
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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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UniDoorManip: Learning Universal Door Manipulation Policy Over Large-Scale and Diverse Door Manipulation Environments AI summary
Yu Li, Xiaojie Zhang, Ruihai Wu, zilong zhang, Yiran Geng, Hao Dong, Zhaofeng He
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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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A Computationally Efficient Nonparametric Approach for Robot Imitation Learning AI summary
Yijin Wang, Shaokang Wu, Chen Liu, Chuankai Zhang, João Silvério, Yanlong Huang
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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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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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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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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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MIMO: A Multimodal Imitation Learning Framework for Mobile Manipulation with Exoskeleton-VR Teleoperation AI summary
Jie Mei, Xinkai Wu, Yue Zhang, Tao Song, Zhongxia Xiong
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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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Flow before Imitation: Learning Dexterous In-Hand Manipulation with Dynamic Visuotactile Shortcut Policy AI summary
Yijin Chen, Wenqiang Xu, Zhenjun Yu, Tutian Tang, Yutong Li, Siqiong Yao, Cewu Lu
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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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HMC: Learning Heterogeneous Meta-Control for Contact-Rich Loco-Manipulation AI summary
whiteboard; pulling open a door; opening a microwave; tightening a nut and lifting a trash can.)
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Trajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning AI summary
Wencan Mao, Quanxi Zhou, Tomás Couso Coddou, Manabu Tsukada, Liu Yunling, Yusheng Ji
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AMPLIFY: Actionless Motion Priors for Robot Learning from Videos AI summary
Jeremy Collins, Lorand Cheng, Kunal Aneja, Albert Wilcox, Benjamin Joffe, Animesh Garg
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Safe and Optimal Variable Impedance Control Via Certified Reinforcement Learning AI summary
Shreyas Kumar, Ravi Prakash
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NavDP: Learning Sim-To-Real Navigation Diffusion Policy with Privileged Information Guidance AI summary
Wenzhe Cai, Jiaqi Peng, Yuqiang Yang, Yujian Zhang, MENG WEI, Hanqing Wang, Yilun Chen, Tai Wang, Jiangmiao Pang
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Intent Recognition in Gait Transition Using Muscle Volume Sensors with Deep Learning AI summary
Geonwoo Park, MooJin Woo, Jiwoo Oh, Hyeon Chan Chei, Keonyoung Oh
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Multi-Robot Learning-Informed Task Planning under Uncertainty AI summary
Abhish Khanal, Abhishek Paudel, Hung Pham, Gregory Stein
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Planning-Guided Diffusion Policy Learning for Contact-Rich Bimanual Object Reorientation AI summary
Xuanlin Li, Tong Zhao, Bo Ai, Xinghao Zhu, Jiuguang Wang, Tao Pang, Kuan Fang
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Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation AI summary
Hang Yu, Christophe De Wagter, Guido de Croon
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Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning AI summary
Haeone Lee, Taywon Min, Junsu Kim, Sinjae Kang, Fangchen Liu, Lerrel Pinto, Kimin Lee
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ActivePusher: Active Learning and Planning with Residual Physics for Nonprehensile Manipulation AI summary
Zhuoyun Zhong, Seyedali Golestaneh, Constantinos Chamzas
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Denoising Particle Filters: Learning State Estimation with Single-Step Objectives AI summary
Lennart Röstel, Berthold Bäuml
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Distributed First-Order and Second-Order Adaptive Hybrid Optimization for Multi-Robot Learning AI summary
Yilun Zhang, Xianghua Xie, Lu Zhang
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Fast Exploration Planning with Learning-Based Motion Time Prediction for Aerial Robots AI summary
Ziyu Wang, Qianli Dong, Xuebo Zhang, Shiyong Zhang, Haobo Xi, Zhe Ma, Mingxing Yuan
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Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies AI summary
Chinmay Samak, Tanmay Samak, Venkat Krovi
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MoE-Powered Fast VLMs Via Curriculum Learning-Based Knowledge Distillation: Taming Regular and Corner Cases in Autonomous Driving AI summary
Xue Zhao, Zhou Fang
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