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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2888 result(s) for “Deep Learning in Grasping and Manipulation” Page 17 of 58
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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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PIMBS: Efficient Body Schema Learning for Musculoskeletal Humanoids with Physics-Informed Neural Networks AI summary
Kento Kawaharazuka, Takahiro Hattori, Keita Yoneda, Kei Okada
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Two-Time-Scale Composite Learning Online Identification and Control for Compliant-Joint Robots AI summary
Tian Shi, Lin Liu, Qian Wang, Jinya Su, Shihua Li, Yongping Pan
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Learning Visuomotor Policy for Multi-Robot Laser Tag Game AI summary
Kai Li, Shiyu Zhao
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Quadrotor Navigation Using Reinforcement Learning with Privileged Information AI summary
Jonathan Lee, Abhishek Rathod, Kshitij Goel, John Stecklein, Wennie Tabib
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Informed Federated Learning to Train a Robotic Arm Inverse Dynamic Model AI summary
Gabriel Jimenez-Perera, Brayan Valencia-Vidal, Niceto R. Luque, Eduardo Ros, Francisco Barranco
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Zero-Shot Exocentric Viewpoint-Robust Imitation Learning (VIL): Bridging Handheld Gripper and Exocentric Views AI summary
Boyan Li, Peilin Meng, Chang Liu, Yulin Chen, Qi Zhou, Youyi Bi
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Learning to Drive by Imitating Surrounding Vehicles AI summary
Yasin Sonmez, Hanna Krasowski, Murat Arcak
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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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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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Physically-Grounded Data Generation Via Video Diffusion Models AI summary
Sriram Yenamandra, Dorsa Sadigh
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M2oE: Modular Mixture of Experts for Multi-Morphology Reinforcement Learning of Modular Robots AI summary
Chang Liu, Qinchao Xu, Satoshi Yagi, Satoshi Yamamori, Yaonan Zhu, Yusuke Iwasawa, Kazuya Yoshida, Jun Morimoto
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The Impact of Motor Action on Language Acquisition and Action-Verb Learning in a Robot AI summary
Zakaria LEMHAOURI, Laura Cohen, Ann Nowé, Lola Canamero
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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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CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving AI summary
Hamidreza Mirkhani, Behzad Khamidehi, Ehsan Ahmadi, mohammed elmahgiubi, Weize Zhang, Fazel Arasteh, Umar Rajguru, Kasra Rezaee, Dongfeng Bai
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Preference-Conditioned Reinforcement Learning for Space-Time Efficient Online 3D Bin Packing AI summary
Nikita Sarawgi, Omey Mohan Manyar, Fan Wang, Thinh Nguyen, Daniel Seita, Satyandra K. Gupta
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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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CoTaP: Compliant Task Pipeline and Reinforcement Learning of Its Controller with Compliance Modulation AI summary
Zewen He, Chen Chenyuan, Dilshod Azizov, Yoshihiko Nakamura
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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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GSAT: Geometric Traversability Estimation Using Self-Supervised Learning with Anomaly Detection for Diverse Terrains AI summary
Dongjin Cho, Miryeong Park, Juhui Lee, Geonmo Yang, Younggun Cho
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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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Integration and Continual Learning-Based Modeling of a Soft Robotic Sensor for Social Robot Proprioception AI summary
Pak Chuen Hau, Seshagopalan Thorapalli Muralidharan, Randy Gomez, Georgios Andrikopoulos
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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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An Alignment-Based Approach to Learning Motions from Demonstrations AI summary
Alex Cuellar, Christopher K Fourie, Julie A. Shah
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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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Unlocking the Potential of Soft Actor-Critic for Imitation Learning AI summary
Nayari Marie Lessa, Melya Boukheddimi, Frank Kirchner
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Learning from Planned Data to Improve Robotic Pick-And-Place Planning Efficiency AI summary
Liang Qin, Weiwei Wan, Jun Takahashi, Ryo Negishi, Masaki Matsushita, Kensuke Harada
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MTIL: Encoding Full History with Mamba for Temporal Imitation Learning AI summary
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Reinforcement Learning-Based Robust Wall Climbing Locomotion Controller in Ferromagnetic Environment AI summary
Yong Um, Young-Ha Shin, Joon-Ha Kim, Soonpyo Kwon, Hae-Won Park
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Agile Hauler Curriculum: Learning High-Speed Locomotion for Robots under Demanding Payloads AI summary
Yawen Zhou, Haopeng Tang, Huiqiao Fu, Peng Li
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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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SPILL: Size, Pose, and Internal Liquid Level Estimation of Transparent Glassware for Robotic Bartending AI summary
Louis Adriaens, Thomas Lips, Mathieu De Coster, Andreas Verleysen, Francis wyffels
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TOLEBI: Learning Fault-Tolerant Bipedal Locomotion Via Online Status Estimation and Fallibility Rewards AI summary
Hokyun Lee, Woo-Jeong Baek, Junhyeok Cha, Jaeheung Park
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Accelerating Residual Reinforcement Learning with Uncertainty Estimation AI summary
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
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Lightweight Learning-Based Feature Selection for Real-Time Optical Flow Navigation on a Quadrotor Platform AI summary
Ali Abosaad, Jinjun Shan
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Beyond the Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning AI summary
Saharsh Saharsh, Shubham Sonkar, Pushpak Jagtap, Ravi Prakash
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Learning-Based Fusion for Robust Multi-Spectral Visual Servoing AI summary
Enrico Fiasche, Siddharth Singh Savner, Ezio Malis, Philippe Martinet
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SPLC: Social Preference Learning for Crowd Robot Navigation AI summary
Zixuan Chen, Hao Fu, Haiwen Hu, Shiquan Zheng
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Learning-Based Observer for Coupled Disturbance AI summary
Jindou Jia, Meng Wang, Zihan Yang, Bin Yang, Yuhang Liu, Kexin Guo, Xiang Yu
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Multi-Task Reinforcement Learning of Drone Aerobatics by Exploiting Geometric Symmetries AI summary
Zhanyu Guo,, Zikang Yin,, Guobin Zhu,, Shiliang Guo, and Shiyu Zhao∗
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Quantum Machine Learning and Grover�s Algorithm for Quantum Optimization of Robotic Manipulators AI summary
Hassen Nigatu Sirag, Gaokun Shi, Jituo Li, Jin Wang, GuoDong Lu, Howard Li
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Reinforcement Learning for Active Perception in Autonomous Navigation AI summary
Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis
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Robust Monocular Visual Odometry Via Dual-Paradigm Curriculum Learning AI summary
Assaf Lahiany, Oren Gal
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Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion AI summary
Yuanhong Zeng, Anushri Dixit
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A Self-Supervised Learning Approach with Differentiable Optimization for UAV Trajectory Planning AI summary
Yufei Jiang, Yuanzhu Zhan, Harsh vardhan Gupta, Chinmay Mahendra Borde, Junyi Geng
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Swimming under Constraints: A Safe Reinforcement Learning Framework for Quadrupedal Bio-Inspired Propulsion AI summary
Xinyu Cui, Fei Han, Hang Xu, Yongcheng Zeng, Luoyang Sun, RuiZhi Zhang, Jian Zhao, Haifeng Zhang, Weikun Li, Hao Chen, Jun Wang, Dixia Fan
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SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks AI summary
Zirui Zang, Ahmad Amine, Nick-Marios Kokolakis, Truong Xuan Nghiem, Ugo Rosolia, Rahul Mangharam
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