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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2802 result(s) for “Deep Learning for Visual Perception” Page 19 of 57
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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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Real-Time Motion Segmentation with Event-Based Normal Flow AI summary
Sheng Zhong, Zhongyang Ren, Xiya Zhu, Dehao Yuan, Cornelia Fermuller, Yi Zhou
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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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DiSPo: Diffusion-SSM Based Policy Learning for Coarse-To-Fine Action Discretization AI summary
Nayoung Oh, Jaehyeong Jang, Moonkyeong Jung, Daehyung Park
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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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Heterogeneous Skill Learning for Asynchronous Multi-Robot Relay Pushing in Complex Environments AI summary
Hui Zhi, David Navarro-Alarcon
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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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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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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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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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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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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 Collision-Free Object Goal Pushing for Quadruped Robots with Safe Corridors AI summary
Gabriel Lai, Yi Wong, Chung Yui Yeung, Shaohang Xu, Zhi Chen, Chin Pang Ho
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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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Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning Via Normalizing Flows AI summary
Shaswat Garg, Matin Moezzi, Brandon Da Silva
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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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An Alignment-Based Approach to Learning Motions from Demonstrations AI summary
Alex Cuellar, Christopher K Fourie, Julie A. Shah
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Kaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot Interaction AI summary
Shuo Jiang, haonan Li, Ruochen Ren, yanmin Zhou, Zhipeng Wang, Bin He
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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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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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SPLC: Social Preference Learning for Crowd Robot Navigation AI summary
Zixuan Chen, Hao Fu, Haiwen Hu, Shiquan Zheng
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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 Observer for Coupled Disturbance AI summary
Jindou Jia, Meng Wang, Zihan Yang, Bin Yang, Yuhang Liu, Kexin Guo, Xiang Yu
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Beyond the Majority: Long-Tail Imitation Learning for Robotic Manipulation AI summary
Junhong Zhu, Ji Zhang, Jingkuan Song, Lianli Gao, Heng Tao Shen
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Connectivity-Aware Representations for Constrained Motion Planning Via Multi-Scale Contrastive Learning AI summary
Suhyun Jeon, Yumin Lim, Woo-Jeong Baek, Hyeonseo Kim, Suhan Park, Jaeheung Park
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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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