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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2842 result(s) for “Model Learning for Control” Page 1 of 57
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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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Real-Time Online Learning for Model Predictive Control Using a Spatio-Temporal Gaussian Process Approximation AI summary
Lars Bartels, Amon Lahr, Andrea Carron, Melanie N. Zeilinger
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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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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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Receding Horizon Reinforcement Learning with Autoregressive Model for Motion Control of Autonomous Vehicles AI summary
Xin Yin, Haotian CAO, Xinglong Zhang, Qingwen Ma, Xin Xu, Haibin Xie
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Safe Whole-Body Loco-Manipulation Via Combined Model and Learning-Based Control AI summary
Alexander Schperberg, Yeping Wang, Stefano Di Cairano
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Hybrid Model-Learning Decoupled Control for Tendon-Driven Multi-Segment Continuum Robotic Bronchoscope AI summary
Yawen Deng, Chao Guo, Wenhao He, Gui-Bin Bian
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Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation AI summary
Fabian Flürenbrock, Yanick Büchel, Johannes Köhler, Marianne Schmid Daners, Melanie N. Zeilinger
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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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Learning-Guided Force-Feedback Model Predictive Control with Obstacle Avoidance for Robotic Deburring AI summary
Krzysztof Wojciechowski, Ege Gursoy, Arthur Haffemayer, Sebastien Kleff, Vincent Bonnet, Florent Lamiraux, Nicolas Mansard
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Flexible Locomotion Learning with Diffusion Model Predictive Control AI summary
Runhan Huang, Haldun Balim, HENG YANG, Yilun Du
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SEEC: Stable End-Effector Control with Model-Enhanced Residual Learning for Humanoid Loco-Manipulation AI summary
Jaehwi Jang, Zhuoheng Wang, Ziyi Zhou, Feiyang Wu, Ye Zhao
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Risk-Aware Control of Tendon-Driven Continuum Robots Via CVaR-MPPI with Residual Learning for Hysteresis Compensation : A Pilot Study AI summary
Dongjun Lee, DongWook Kim
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CLF-RL: Control Lyapunov Function Guided Reinforcement Learning AI summary
Kejun Li, Zachary Olkin, Yisong Yue, Aaron Ames
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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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Data-Efficient Constrained Robot Learning with Probabilistic Lagrangian Control AI summary
Shiming He, Yuzhe Ding
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Safe and Optimal Variable Impedance Control Via Certified Reinforcement Learning AI summary
Shreyas Kumar, Ravi Prakash
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Unveiling the Impact of Data and Model Scaling on High-Level Control for Humanoid Robots AI summary
Yuxi Wei, Ziseoi Wong, Kangning Yin, Yue Hu, Jingbo Wang, Siheng Chen
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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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A Modular Residual Learning Framework to Enhance Model-Based Approach for Robust Locomotion AI summary
Min-Gyu Kim, Dongyun Kang, Hajun Kim, Hae-Won Park
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RAMBO: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation AI summary
Jin Cheng, Dongho Kang, Gabriele Fadini, Guanya Shi, Stelian Coros
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Deep Reinforcement Learning for Hip Exoskeleton Control Via Predictive Simulation of Reflex-Based Human Gait AI summary
Hossein Barati, Sangdo Kim, Thanh Xuan Nguyen, Jongwon Lee, Young Jin Park
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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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Hysteresis-Aware Neural Network Modeling and Whole-Body Reinforcement Learning Control of Soft Robots AI summary
Zongyuan Chen, Yan Xia, Jiayuan Liu, Jijia Liu, Wenhao Tang, Jiayu Chen, Feng Gao, Longfei Ma, Hongen Liao, Yu Wang, Chao Yu, Boyu Zhang, Fei Xing
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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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Learning-Based Robust Control: Unifying Exploration and Distributional Robustness for Reliable Robotics Via Free Energy AI summary
Hozefa Jesawada, Giovanni Russo, Abdalla Swikir, Fares Abu-Dakka
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Learning to Control the Whole-Body Shape of a Soft Robotic Arm in Unknown Situations AI summary
Zhiqiang Tang, Qianqian WANG, Daniela Rus, Cecilia Laschi
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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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Learning What Matters: Task Tailored Dynamics Models through Differentiable MPC AI summary
Jan Węgrzynowski, Piotr Kicki, Grzegorz Czechmanowski, Krzysztof, Tadeusz Walas
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Air Compressor Control Optimization in Commercial Vehicles Using Reinforcement Learning AI summary
Fabian Schuppert,,∗, Raul Gorek,, Bodo Rosenhahn and Timo von Marcard
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Reinforcement Learning Control Outperforms Iterative Learning in Exoskeleton-Assisted Gait Training AI summary
Andy Li, Haoran Li, Aytac Teker, Mariana Hernandez-Rocha, Biruk Gebre, Karen Nolan J., Kishore Pochiraju, Damiano Zanotto
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ARMOR: Attack-Resilient Reinforcement Learning Control for UAVs AI summary
Pritam Dash, Ethan Chan, Nathan P. Lawrence, Karthik Pattabiraman
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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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Moment Latent Reinforcement Learning for Pattern Control in Swarm Robotic Systems AI summary
Wei Zhang, Haoyu Quan, Jr-Shin Li
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Manipulating Elasto-Plastic Objects with 3D Occupancy and Learning-Based Predictive Control AI summary
Zhen ZHANG, Xiangyu CHU, Yunxi TANG, Lulu ZHAO, Jing HUANG, Zhongliang Jiang, K. W. Samuel Au
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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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Primal-Dual iLQR for GPU-Accelerated Learning and Control in Legged Robots AI summary
Lorenzo Amatucci, Joao Moreira de Sousa Pinto, Giulio Turrisi, Dominique Orban, Victor Barasuol, Claudio Semini
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High-Altitude Balloon Station-Keeping with First Order Model Predictive Control AI summary
Myles Pasetsky, Jiawei Lin, Bradley Guo, Sarah Dean
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What Matters in Learning a Zero-Shot Sim-To-Real RL Policy for Quadrotor Control? a Comprehensive Study AI summary
Jiayu Chen, Chao Yu, Yuqing Xie, Feng Gao, Yinuo Chen, Shu'ang Yu, Wenhao Tang, Shilong Ji, Mo Mu, Yi Wu, Huazhong Yang, Yu Wang
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MonoMPC: Monocular Vision Based Navigation with Learned Collision Model and Risk-Aware Model Predictive Control AI summary
Basant Sharma, Prajyot Jadhav, Pranjal Paul, Madhava Krishna, Arun Kumar Singh
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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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Deep Sensorimotor Control by Imitating Predictive Models of Human Motion AI summary
Himanshu Gaurav Singh, Pieter Abbeel, Jitendra Malik, Antonio Loquercio
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Neural Predictor for Flight Control with Payload AI summary
Ao Jin, Chenhao Li, Qinyi Wang, Ya Liu, Panfeng Huang, Fan Zhang
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Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning AI summary
Aditya Narendra, Mukhammadrizo Maribjonov, Dmitry Makarov, Dmitry Yudin, Aleksandr Panov
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Real-World Robot Control by Deep Active Inference With a Temporally Hierarchical World Model AI summary
Kentaro Fujii, Shingo Murata
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Efficiently Learning Robust Torque-Based Locomotion through Reinforcement with Model-Based Supervision AI summary
Yashuai Yan, Tobias Egle, Christian Ott, Dongheui Lee
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Modeling and Reinforcement Learning-Based Control of Simultaneous Positive and Negative Pressure Generation in Pneumatic Systems AI summary
Sang Hyeon Park, Myeongyun Doh, Chanyong Park, Tuan Luong, Hyouk Ryeol Choi, Ja Choon Koo, Hugo Rodrigue, Hyungpil Moon
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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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Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots Using Physics-Informed Neural Networks AI summary
Tim-Lukas Habich, Aran Mohammad, Simon F. G. Ehlers, Martin Bensch, Thomas Seel, Moritz Schappler
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RL-Augmented Adaptive Model Predictive Control for Bipedal Locomotion Over Challenging Terrain AI summary
Junnosuke Kamohara, Feiyang Wu, Chinmayee Wamorkar, Seth Hutchinson, Ye Zhao
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