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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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1602 result(s) for “Deep Learning Methods” Page 12 of 33
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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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Proprioceptive Image: An Image Representation of Proprioceptive Data from Quadruped Robots for Contact Estimation Learning AI summary
Gabriel Fischer Abati, João Carlos Virgolino Soares, Giulio Turrisi, Victor Barasuol, Claudio Semini
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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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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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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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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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P3T: Prototypical Point-Level Prompt Tuning with Enhanced Generalization for 3D Vision-Language Models AI summary
Geunyoung Jung, Soohong Kim, Kyungwoo Song, Jiyoung Jung
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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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Learning Optimal Strategies for Needle Handover in Surgical Suturing AI summary
Cholin Kim, Jeonghyeon Yoon, Hakyun Lee, Sihyeoung Park, Hyojae Park, Seungjun Lee, Michael Yip, Minho Hwang
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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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AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability AI summary
Yuheng Qiu, CAN XU, Yutian Chen, Shibo Zhao, Junyi Geng, Sebastian Scherer
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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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SEG-Parking: Towards Safe, Efficient, and Generalizable Autonomous Parking Via End-To-End Offline Reinforcement Learning AI summary
Zewei Yang, Zengqi Peng, Jun Ma
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A Contrastive Few-Shot RGB-D Traversability Segmentation Framework for Indoor Robotic Navigation AI summary
Qiyuan An, Tuan Dang, Fillia Makedon
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Long-Term Mapping of the Douro River Plume with Multi-Agent Reinforcement Learning AI summary
Nicolo Dal Fabbro, Milad Mesbahi, Mendes Renato, João Sousa, George J. Pappas
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Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation AI summary
Hoseong Jung, Sungil Son, Daesol Cho, Jonghae Park, Changhyun Choi, H. Jin Kim
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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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OccLLaMA: A Unified Occupancy-Language-Action World Model for Enhancing Motion Planning Via Multi-Task Learning AI summary
Julong Wei, Shanshuai Yuan, Pengfei Li, Xinyi Quan, Lei Tai, Jieru Zhao, Zhongxue Gan, Wenchao Ding
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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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Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale AI summary
Tobias Thomas Jülg, Pierre Krack, Seongjin Bien, Yannik Blei, Khaled Gamal, Ken Nakahara, Johannes Hechtl, Roberto Calandra, Wolfram Burgard, Florian Walter
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Learning 6D Object Pose Estimation with Event Cameras Using Synthetic Data and Domain Randomization AI summary
Oussama Abdul Hay, Xiaoqian Huang, Muhammad Ahmed Humais, Abdulla Ayyad, Randa Almadhoun, Yahya Zweiri
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Onboard Mission Replanning for Adaptive Cooperative Multi-Robot Systems AI summary
Elim Kwan, Rehman Qureshi, Liam Fletcher, Colin Laganier, Victoria Nockles, Richard Walters
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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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OHMM-PA: A Learning from Demonstration Approach Using Online Hidden Markov Models with Path Planning AI summary
Jan Irsperger, Diego Fernandez Prado, and Eckehard Steinbach
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A Framework for Soft Robot Control: Integrating Physics-Based Modeling with Exploration Based Learning AI summary
Costanza Armanini, Anthony Tzes, Andrea Del Prete, Fares Abu-Dakka
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Robust Person Re-Identification for Service Robots Via One-Class Body-Part Transformer and Continual Learning AI summary
Enrique Aleman-Gallegos, Sven Wachsmuth
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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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Experimental Comparison of Kinematic Task-Priority Control Methods for an Articulated Intervention-AUV AI summary
Bjørn Kåre Sæbø, Markus H. Iversflaten, Kristin Y. Pettersen, Jan Tommy Gravdahl
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Iterative Learning-Based Centre-Of-Mass Impedance Control for Articulated-Soft Humanoid Robots AI summary
Yibin Wang, Lin Zhou, Sacha Morris, Shan Luo, Emmanouil Spyrakos-Papastavridis
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Self-Supervised Consistency Enhanced Disentangled Learning for Neural Decoding Generalization in Brain-Machine Interfaces AI summary
Jiyu Wei, Di Hong, Zhanjie Zhang, Dazhong Rong, Qinming He, Yueming Wang
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Pose Retargeting from a Single RGB Camera: Optimization-Based Hand Pose Retargeting and Wrist Pose Estimation AI summary
Longrui Chen, Lipeng Chen, Kunpeng Yao, Mehmet R Dogar
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Learning Neural Observer-Predictor Models for Limb-Level Sampling-Based Locomotion Planning AI summary
Abhijeet Mangesh Kulkarni, Ioannis Poulakakis, Guoquan (Paul) Huang
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Hybrid Model-Learning Decoupled Control for Tendon-Driven Multi-Segment Continuum Robotic Bronchoscope AI summary
Yawen Deng, Chao Guo, Wenhao He, Gui-Bin Bian
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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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PACE: Physics Augmentation for Coordinated End-to-end Reinforcement Learning toward Versatile Humanoid Table Tennis AI summary
Muqun Hu, Wenxi Chen, Wenjing Li, Falak Mandali, Zijian He, Renhong Zhang, Praveen Krisna, Katherine Christian, Leo Benaharon, Dizhi Ma, Karthik Ramani, Yan Gu
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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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The Price Is Not Right: Neuro-Symbolic Methods Outperform VLAs on Structured Long-Horizon Manipulation Tasks with Significantly Lower Energy Consumption AI summary
Timothy R. Duggan, Pierrick Lorang, Hong Lu, Matthias Scheutz
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