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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 19 of 58
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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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Diverse Skill Discovery in Fourier Latent Space Via Unsupervised Learning AI summary
Ruopeng Cui, Yucong Sun, Xizhou Bu, Wang Chao, Wei Li
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NavDP: Learning Sim-To-Real Navigation Diffusion Policy with Privileged Information Guidance AI summary
Wenzhe Cai, Jiaqi Peng, Yuqiang Yang, Yujian Zhang, MENG WEI, Hanqing Wang, Yilun Chen, Tai Wang, Jiangmiao Pang
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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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Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning AI summary
Haeone Lee, Taywon Min, Junsu Kim, Sinjae Kang, Fangchen Liu, Lerrel Pinto, Kimin Lee
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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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Denoising Particle Filters: Learning State Estimation with Single-Step Objectives AI summary
Lennart Röstel, Berthold Bäuml
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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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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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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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A Differential Dynamic Programming Framework for Inverse Reinforcement Learning AI summary
Kun Cao, Xinhang Xu, Wanxin Jin, Karl H. Johansson, Lihua Xie
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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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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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Single-View 3D-Aware Representations for Reinforcement Learning by Cross-View Neural Radiance Fields AI summary
Daesol Cho, Seungyeon Yoo, Dongseok Shim, H. Jin Kim
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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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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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How Bumpy Is It? Incremental Online Learning of Terrain-Induced Bumpiness Costs for Off-Road Vehicles AI summary
Haoyu Yuan, Tianwei Niu, Shengshan Ma, Runjiao Bao, Shoukun Wang
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Neural Internal Model Control: Learning a Robust Control Policy Via Predictive Error Feedback AI summary
Feng Gao, Chao Yu, Yu Wang, Yi Wu
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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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Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments AI summary
Woonsang Kang, Joohyung Lee, Seungjun Kim, Jungchan Cho, Yoonseon Oh
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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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Learning Semantic Priorities for Autonomous Target Search AI summary
Max Lodel, Nils Wilde, Robert Babuska, Javier Alonso-Mora
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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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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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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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Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning AI summary
Runze Tang, Penny Sweetser
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Learning Quadrupedal Locomotion for a Heavy Hydraulic Robot Using an Actuator Model AI summary
Minho Lee, Hyeonseok Kim, Jin Tak Kim, Sangshin Park, Jeong Hyun Lee, Jungsan Cho, Jemin Hwangbo
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Agile Collision Avoidance for Deformable-Tethered Multi-Robot Systems Via Zone-Aware Hierarchical Learning and VLM-Guided Control AI summary
Zeyu Zhou, Jingwei Zhang, Hui Zhi, Yun Hao, Wei Tang, David Navarro-Alarcon
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R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations AI summary
Connor Mattson, Varun Raveendra, Ellen Novoseller, Nicholas Waytowich, Vernon Lawhern, Daniel Brown
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BEV-Patch-PF: Particle Filtering with BEV-Aerial Feature Matching for Off-Road Geo-Localization AI summary
Dongmyeong Lee, Jesse Quattrociocchi, Christian Ellis, Rwik Rana, Amanda Adkins, Adam Uccello, Garrett Warnell, Joydeep Biswas
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CLOVER: Context-Aware Long-Term Object Viewpoint and Environment Invariant Representation Learning AI summary
Amanda Adkins, Dongmyeong Lee, Joydeep Biswas
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Multi-Robot Trajectory Planning Via Constrained Bayesian Optimization and Local Cost Map Learning with STL-Based Conflict Resolution AI summary
Sourav Raxit, Abdullah Al Redwan Newaz, Jose Fuentes, Paulo Padrao, Ana Cavalcanti, Leonardo Bobadilla
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Enhancing Robot Learning through Cognitive Reasoning Trajectory Optimization under Unknown Dynamics AI summary
Qingwei Dong, Tingting Wu, Peng Zeng, Chuanzhi Zang, Guangxi Wan, Shijie Cui
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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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DeepSkate: Reinforcement Learning of a Robust Controller for Energy Efficient Quadruped Skating AI summary
James Florin Petri, Gerard Lacey
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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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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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Decentralized Triangulation Formation without Communication: A Vision Transformer Based Learning Approach AI summary
Xinchi Huang, Guang YANG, Yi Guo
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Vision-Guided Outdoor Flight and Obstacle Evasion Via Reinforcement Learning AI summary
Shiladitya Dutta, Aayush Gupta, Varun Saran, Avideh Zakhor
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Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight AI summary
Angel Romero, Ashwin Shenai, Ismail Geles, Elie Aljalbout, Davide Scaramuzza
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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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