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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2837 result(s) for “Data Sets for Robot Learning” Page 13 of 57
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FlightDiffusion: Revolutionizing Autonomous Drone Training with Diffusion Model Generating FPV Video AI summary
Valerii Serpiva, Artem Lykov, Faryal Batool, Vladislav Kozlovskiy, Miguel Altamirano Cabrera, Dzmitry Tsetserukou
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A Practical Multi-Body Model Enabling a Flexible-Wheeled Robot to Learn Blind Stair Climbing AI summary
Chan-Young Yoon, Baek-Kyu Cho
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Adaptive Dynamics Planning for Robot Navigation AI summary
Yuanjie Lu, Mingyang Mao, Linji Wang, Tong Xu, Xiaomin Lin, Xuesu Xiao
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State Estimation and Environment Recognition for Articulated Structures Via Proximity Sensors Distributed Over the Whole Body AI summary
Kengo Iwao, Hikaru Arita, Kenji Tahara
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Learning Contact Tasks Skills Based on DMP and Affordance Templates AI summary
Hunjo Lee, Gi-Hun Yang
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SpikeATac: A Multimodal Tactile Finger with Taxelized Dynamic Sensing for Dexterous Manipulation AI summary
Eric T. Chang, Peter Ballentine, Zhanpeng He, DoGon Kim, Kai Jiang, Hua Hsuan Liang, Joaquin Palacios, William Wang, Pedro Piacenza, Ioannis Kymissis, Matei Ciocarlie
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Beyond Waypoints: Semantic-Centric Autonomy with Unreliable Maps through Learned Abstractions AI summary
Akila Saravanan, Songyuan Zhang, Travis Manderson, Nicholas Roy, Chuchu Fan
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An Efficient Learning-Based Task Planning Approach Using a Bio-Inspired Action Context-Free Grammar for Bimanual Manipulation AI summary
Carmona David, Jun Yang, Haoyong Yu
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Privacy-Aware LLMs-Assisted Task Planning for Home Robots AI summary
Zhanjie Chen, Weihua Sheng
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Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom AI summary
Balazs Gyenes, Nikolai Franke, Paul Maria Scheikl, Pit Henrich, Rayan Younis, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich
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BOSS: Benchmark for Observation Space Shift in Long-Horizon Task AI summary
Yue Yang, Linfeng Zhao, Mingyu Ding, Gedas Bertasius, Daniel J. Szafir
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Global Tensor Motion Planning AI summary
An Thai Le, Kay Pompetzki, Joao Andre Mueller Carvalho, Joe Watson, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters
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MS-CRL: Multi-Scale Global Path Planning with Progressive Curriculum Reinforcement Learning AI summary
Nan Zhou, Xuqing Hu, Yixin Zhou, Rui Zhu, Fan Zhou, Ye Li, Guangqiang Yin
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Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation AI summary
Zimu Gong, Brian Zhaoning Zhang, Chris Zhang, Kelvin Wong, Raquel Urtasun
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Energy-Based Injury Protection Database: Including Shearing Contact Thresholds for Hand and Finger Using Porcine Surrogates AI summary
Dirk M ̈uller, Nader Rajaei, Rainer Burgkart and Sami Haddadin
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SurgCUT3R: Surgical Scene-Aware Continuous Understanding of Temporal 3D Representation AI summary
Kaiyuan Xu, Fangzhou Hong, Daniel Elson, Baoru Huang
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Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators AI summary
Amir Hossein Barjini, Seyed Adel Alizadeh Kolagar, Sadeq Yaqubi, Jouni Mattila
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Lagrangian Neural Network-Based Control: Improving Robotic Trajectory Tracking Via Linearized Feedback AI summary
Manuel Weiss, Alexander Pawluchin, Jan-Hendrik Ewering, Thomas Seel, Ivo Boblan
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InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning AI summary
Ji Zhang, Shihan Wu, Xu Luo, Hao Wu, Junlin Xie, Lianli Gao, Heng Tao Shen, Jingkuan Song
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Learning Problem Decomposition for Efficient Sequential Multi-Object Manipulation Planning (resubmitted) AI summary
Yan Zhang, Teng Xue, Amirreza Razmjoo, Sylvain Calinon
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Quasimetric Decision Transformers: Enhancing Goal-Conditioned Reinforcement Learning with Structured Distance Guidance AI summary
MADHAV GOYANI, Heidar Davoudi, Mehran Ebrahimi
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Understanding Lidar Variability: A Dataset and Comparative Study Featuring Dome-Shaped, Solid-State, and Spinning Lidars AI summary
Mawuto Koudjo Felix Doumegna, Xianjia Yu, Jiaqiang Zhang, Sier Ha, Zhuo Zou, Tomi Westerlund
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Task Generalization with Pathwise Conditioning of Gaussian Process for Learning from Demonstration AI summary
Adrian Prados, Gonzalo Espinoza, Alberto Mendez, Ramon Barber
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Complexity Reduction of the Three-Point Dubins Problem (3PDP) Via Symmetry Exploitation for Machine Learning Purposes AI summary
Marco Frego, Enrico Saccon, Davide De Martini, Luigi Palopoli
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Viper: Verifiable Imitation Learning Policy for Efficient Robotic Manipulation AI summary
Xianfeng Cheng, Qing Gao, Guangyu Chen, Rui Xiong, Junjie Hu, Yulan Guo, Zhaojie Ju
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Leveraging Embodied Mechanical Intelligence for Learning Decluttering Tasks AI summary
Enrico Turco, Valerio Bo, Chiara Castellani, Gionata Salvietti, Monica Malvezzi, Domenico Prattichizzo, Maria Pozzi
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Learning Conservative Neural Control Barrier Functions from Demonstrations AI summary
Ihab Tabbara, Hussein Sibai
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Learning-Based Torque Estimation for Harmonic Drive Actuators AI summary
Chun-Hung Huang, Chun Wei Chen, Chao-Chieh Lan
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SINGER: An Onboard Generalist Vision-Language Navigation Policy for Drones AI summary
Maximilian Adang, JunEn Low, Ola Shorinwa, Mac Schwager
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LeGO-MM: Learning Navigation for Goal-Oriented Mobile Manipulation Via Hierarchical Policy Distillation AI summary
Bolei Chen, Liangbai Liu, Shengsheng Yan, Haonan Yang, Ping Zhong, Jianxin Wang
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SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning AI summary
Kaushik Roy, Giovanni Salvatore D'urso, Nicholas Lawrance, Brendan Tidd, Peyman Moghadam
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Latent Representations for Visual Proprioception in Inexpensive Robots AI summary
Sahara Sheikholeslami, Ladislau Bölöni
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Efficient Learning of Object Placement with Intra-Category Transfer AI summary
Adrian Röfer, Russell Buchanan, Maximilian Argus, Sethu Vijayakumar, Abhinav Valada
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Imitation-BT: Automating Behavior Tree Generation by Echoing Reinforcement Learning Agents AI summary
Shailendra Sekhar Bathula, Ramviyas Parasuraman
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AutoPercep: A Pipeline for Onboard Neighbor Position Estimation Toward Large-Scale Swarm Robotics AI summary
Ruiheng Wu, Simay Atasoy Bingöl, Oliver Deussen, Heiko Hamann, Iain D. Couzin, Andreagiovanni Reina, Liang Li
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ADGaussian: Generalizable Gaussian Splatting for Autonomous Driving Via Multi-Modal Joint Learning AI summary
Qi Song, Chenghong Li, Haotong Lin, Sida Peng, Rui Huang
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Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention AI summary
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
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SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment AI summary
Rong Xue, Jiageng Mao, Mingtong Zhang, Yue Wang
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Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy AI summary
Shiyao Zhang, Liwei Deng, Shuyu Zhang, Weijie Yuan, Hong Zhang
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Learning to Drift with Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limits AI summary
Yihan Zhou, Yiwen Lu, Bo Yang, Jiayun Li, Yilin Mo
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TransLocNet: Cross-Modal Attention for Aerial-Ground Vehicle Localization with Contrastive Learning AI summary
Phu Pham, Damon Conover, Aniket Bera
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KAN Policy: Learning Efficient and Smooth Robotic Trajectories Via Kolmogorov-Arnold Networks AI summary
Zikang Chen, Fei Gao, Ziya Yu, and Peng Li
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FlightBench: Benchmarking Learning-Based Methods for Ego-Vision-Based Quadrotors Navigation AI summary
Shu'ang Yu, Chao Yu, Feng Gao, Yi Wu, Yu Wang
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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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When the Adversary Knows You Better: Adversarial Training for Learning-Based Legged Robots AI summary
Qinchao Xu, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
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DRO-EDL-MPC: Evidential Deep Learning-Based Distributionally Robust Model Predictive Control for Safe Autonomous Driving AI summary
Hyeongchan Ham, Heejin Ahn
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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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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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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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