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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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964 result(s) for “Reinforcement Learning” Page 10 of 20
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Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators AI summary
Gregory Campbell, Gentian Muhaxheri, Leonardo Ferreira Guilhoto, Christian Santangelo, Paris Perdikaris, James Pikul, Mark Yim
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User-Tailored Learning to Forecast Walking Modes for Exosuits AI summary
Gabriele Abbate, Enrica Tricomi, Nathalie Gierden, Alessandro Giusti, Lorenzo Masia, Antonio Paolillo
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Learning to Design Soft Hands Using Reward Models AI summary
Xueqian Bai, Nicklas Hansen, Adabhav Singh, Michael T. Tolley, Yan Duan, Pieter Abbeel, Xiaolong Wang, Sha Yi
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Tracing Energy Flow: Learning Tactile-Based Grasping Force Control to Reduce Slippage in Dynamic Object Interaction AI summary
Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
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Learning Forward Looking Adaptation to Dynamic Payloads for Quadruped Locomotion Via Physics-Informed Neural Networks AI summary
Oscar Youngquist, Hao Zhang
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UNIC: Learning Unified Multimodal Extrinsic Contact Estimation AI summary
Zhengtong Xu, Yuki Shirai
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Decentralized Triangulation Formation without Communication: A Vision Transformer Based Learning Approach AI summary
Xinchi Huang, Guang YANG, Yi Guo
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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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EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover AI summary
Ghadah Alosaimi, Maha Alsayyari, Yixin Sun, Stamos Katsigiannis, Amir Atapour-Abarghouei, Toby Breckon
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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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Emergent Co-Adaptive Strategies in Heterogeneous Multi-Robot Systems Via Meta-Learning AI summary
Hexiang Zheng, Xvchun He, Yuan Gao
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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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MotionTrans: Human VR Data Enable Motion-Level Learning for Robotic Manipulation Policies AI summary
Chengbo Yuan, Rui Zhou, Mengzhen Liu, Yingdong Hu, Shengjie Wang, Li Yi, Chuan Wen, Shanghang Zhang, Yang Gao
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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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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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Vision-Guided Robotic Grinding with Deep Learning-Based Bead Segmentation and Digital Twin Verification AI summary
Seong Hyeon Kim, Hyo-Young Kim
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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 Multiple Initial Solutions to Optimization Problems AI summary
Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Peter Karkus
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Non-Contact Tactile Perception in Human-Robot Interaction: Deep Learning-Enhanced Super-Resolution Spatial Sensing AI summary
Shuyao Zhou, Jikai Liang, Zhengjie Zhu, Kong Depeng, Zhiao He, Honghao Lyu, Geng Yang
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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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Learning Constraint-Aware Dynamical Systems from Human Demonstrations for Constrained Manipulation Tasks AI summary
Soyoun Sung, Keehoon Kim
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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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KALIKO: Kalman-Implicit Koopman Operator Learning for Prediction of Nonlinear Dynamical Systems AI summary
Albert H. Li, Ivan Dario Jimenez Rodriguez Rodriguez, Joel Burdick, Yisong Yue, Aaron Ames
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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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Learning Actuator-Aware Spectral Submanifolds for Precise Control of Continuum Robots AI summary
Paul Leonard Wolff, Hugo Buurmeijer, Luis Pabon, John Irvin Alora, Mark Leone, Roshan Kaundinya, Amirhossein Kazemipour, Robert Kevin Katzschmann, Marco Pavone
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Learning Autonomous and Safe Quadruped Traversal of Complex Terrains Using Multi-Layer Elevation Maps AI summary
Yeke Chen, Ji Ma, Zeren Luo, Yimin Han, YINZHAO DONG, Bowen Xu, Peng Lu
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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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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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COBALT: Crowdsourcing Robot Learning Via Cloud-Based Teleoperation with Smartphones AI summary
Ayush Agarwal, Ansh Gandhi, Jeremy Collins, Omar Rayyan, Aryan Sarswat, Ranjani Koushik, Masoud Moghani, Ajay Uday Mandlekar, Animesh Garg
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Learning on the Fly: Rapid Policy Adaptation Via Differentiable Simulation AI summary
Jiahe Pan, Jiaxu Xing, Rudolf Reiter, Yifan Zhai, Elie Aljalbout, Davide Scaramuzza
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Estimating Deformable-Rigid Contact Interactions for a Deformable Tool Via Learning and Model-Based Optimization AI summary
Mark Van der Merwe, Miquel Oller, Dmitry Berenson, Nima Fazeli
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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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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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Kungfubot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control AI summary
Jinrui Han, Weiji Xie, Jiakun Zheng, Jiyuan Shi, Weinan Zhang, Ting Xiao, Chenjia Bai
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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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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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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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