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2252 result(s) for “Model Learning for Control” Page 1 of 46
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Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic
Mohamed-Khalil Bouzidi, Yue Yao, Joerg Reichardt, Daniel Goehring
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Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
Haoru Xue, Edward Zhu, John M. Dolan, Francesco Borrelli
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Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
Alessandro Saviolo, Jonathan Frey, Abhishek Rathod, Moritz Diehl, Giuseppe Loianno
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Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model Predictive Control Approach
Viet-Anh Le, Vaishnav Tadiparthi, Behdad Chalaki, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari, Andreas Malikopoulos
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Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving with Model Predictive Path Integral Control
Hojin Lee, Taekyung Kim, Jungwi Mun, Wonsuk Lee
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Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov
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Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-Ramp Merging
Jacob Knaup, Jovin D'sa, Behdad Chalaki, Tyler Naes, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Panagiotis Tsiotras
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Chance-Aware Lane Change with High-Level Model Predictive Control through Curriculum Reinforcement Learning
Yubin Wang, Yulin Li, Zengqi Peng, Hakim Ghazzai, Jun Ma
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Adaptive Contact-Implicit Model Predictive Control with Online Residual Learning
Wei-Cheng Huang, Alp Aydinoglu, WANXIN JIN, Michael Posa
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IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, ÜrÃ1⁄4n Dogan, Zheqing Zhu, Olivier Delalleau
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Learning-Based Model Predictive Control for an Autonomous Formula Student Racing Car
David Gomes, Miguel Botto, Pedro U. Lima
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Model Optimization in Deep Learning Based Robot Control for Autonomous Driving
Sergio Paniego, Nikhil Paliwal, José M. Cañas
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Efficient Model Learning and Adaptive Tracking Control of Magnetic Micro-Robots for Non-Contact Manipulation
Yongyi Jia, Shu Miao, junjian zhou, Niandong Jiao, Lianqing Liu, Xiang LI
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Integrating Robot Assignment and Maintenance Management: A Multi-Agent Reinforcement Learning Approach for Holistic Control
Kshitij Bhatta, Qing Chang
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Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine
Dvij Kalaria, Qin Lin, John M. Dolan
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Imitating and Finetuning Model Predictive Control for Robust and Symmetric Quadrupedal Locomotion
Donghoon Youm, Hyunyoung Jung, HyeongJun Kim, Jemin Hwangbo, Hae-Won Park, Sehoon Ha
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Iterative Learning Control for Deformable Open-Frame Cable-Driven Parallel Robots
Wuichung Cheng, Ngo Foon Chan, Darwin Lau
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Online-Learning-Based Distributionally Robust Motion Control with Collision Avoidance for Mobile Robots
Han Wang, Chao Ning, longyan Li, Weidong Zhang
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Learning-Based Efficient Phase-Amplitude Modulation and Hybrid Control for MRI-Guided Focused Ultrasound Treatment
JING DAI, Bohao Zhu, Xiaomei WANG, Zhiyi Jiang, Mengjie Wu, Liyuan Liang, Xiaochen Xie, James Lam, Hing-Chiu Chang, Ka-Wai Kwok
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MORPH: Design Co-Optimization with Reinforcement Learning Via a Differentiable Hardware Model Proxy
Zhanpeng He, Matei Ciocarlie
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Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi
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A Provably Stable Iterative Learning Controller for Continuum Soft Robots
Michele Pierallini, Francesco Stella, Franco Angelini, Bastian Deutschmann, Josie Hughes, Antonio Bicchi, Manolo Garabini, Cosimo Della Santina
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Actor-Critic Model Predictive Control
Angel Romero, Yunlong Song, Davide Scaramuzza
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From Unstable Electrode Contacts to Reliable Control: A Deep Learning Approach for HD-sEMG in Neurorobotics
Eion Tyacke, Kunal Gupta, Jay Patel, Raghav Katoch, S. Farokh Atashzar
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Robust Jumping with an Articulated Soft Quadruped Via Trajectory Optimization and Iterative Learning
Jiatao Ding, Mees Alexander van Löben Sels, Franco Angelini, Jens Kober, Cosimo Della Santina
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A probabilistic approach for learning and adapting shared control skills with the human in the loop
Gabriel Quere, Freek Stulp, David Filliat, João Silvério
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EVOLVER: Online Learning and Prediction of Disturbances for Robot Control
Jindou Jia, Wenyu Zhang, Kexin Guo, Jianliang Wang, Xiang Yu, Yang Shi, Lei Guo
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ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations
Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor
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HAGrasp: Hybrid Action Grasp Control in Cluttered Scenes Using Deep Reinforcement Learning
Kai-Tai Song, Hsiang-Hsi Chen
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EMG-Based Intention Detection Using Deep Learning for Shared Control in Upper-Limb Assistive Exoskeletons
Paniz Sedighi, Xingyu Li, Mahdi Tavakoli
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Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations
Kefei Wu, Xuming He, Yang Wang, Xiaopei Liu
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Reinforcement Learning for Reduced-Order Models of Legged Robots
Yu-Ming Chen, Hien Bui, Michael Posa
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Navigable Area Detection and Perception-Guided Model Predictive Control for Autonomous Navigation in Narrow Waterways
Jonghwi Kim, Changyu Lee, Dongha Chung, Jinwhan Kim
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Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning
Thomas Bi, Raffaello D'Andrea
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ReLU-QP: A GPU-Accelerated Quadratic Programming Solver for Model-Predictive Control
Arun Bishop, John Zhang, Swaminathan Gurumurthy, Kevin Tracy, Zachary Manchester
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Prompt, Plan, Perform: LLM-Based Humanoid Control Via Quantized Imitation Learning
Jingkai SUN, Qiang Zhang, YIQUN DUAN, Xiaoyang Jiang, Chong Cheng, Renjing Xu
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Self Model for Embodied Intelligence: Modeling Full-Body Human Musculoskeletal System and Locomotion Control with Hierarchical Low-Dimensional Representation
Chenhui Zuo, Kaibo He, Jing Shao, Yanan Sui
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A Deep Learning Framework for Non-Symmetrical Coulomb Friction Identification of Robotic Manipulators
Marcel Lahoud, Gabriele Marchello, Mariapaola D'Imperio, Andreas Mueller, Ferdinando Cannella
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Enhancing Task Performance of Learned Simplified Models Via Reinforcement Learning
Hien Bui, Michael Posa
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Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
Yu Zhang, Long Wen, Xiangtong Yao, Zhenshan Bing, Linghuan Kong, Wei He, Alois Knoll
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Receding-Constraint Model Predictive Control Using a Learned Approximate Control-Invariant Set
Gianni Lunardi, Asia La Rocca, Matteo Saveriano, Andrea Del Prete
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Towards Human-Robot Collaborative Surgery: Trajectory and Strategy Learning in Bimanual Peg Transfer
Zhaoyang Jacopo Hu, Ziwei Wang, yanpei huang, Aran Sena, Ferdinando Rodriguez y Baena, etienne burdet
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FT-Net: Learning Failure Recovery and Fault-Tolerant Locomotion for Quadruped Robots
Zeren Luo, Erdong Xiao, Peng Lu
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Extremum-Seeking Action Selection for Accelerating Policy Optimization
Ya-Chien Chang, Sicun Gao
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Optimal Control of Granular Material
Yuichiro Aoyama, Amin Haeri, Evangelos Theodorou
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Controlling FES of Arm Movements Using Physics-Informed Reinforcement Learning Via Co-Kriging Adjustment
Nat Wannawas, Clara Diaz-Pintado, Jyotindra Narayan, Aldo Faisal
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Sim-To-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing
Max Yang, Yijiong Lin, Alex Church, John Lloyd, Dandan Zhang, David A. W. Barton, Nathan Lepora
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LiDAR-Based Online Control Barrier Function Synthesis for Safe Navigation in Unknown Environments
Shaghayegh Keyumarsi, Made Widhi Surya Atman, Azwirman Gusrialdi
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Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road Driving
Sean J. Wang, Honghao Zhu, Aaron M. Johnson
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Visual-Tactile Learning of Garment Unfolding for Robot-Assisted Dressing
Fan Zhang, Yiannis Demiris
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