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2252 result(s) for “Model Learning for Control” Page 4 of 46
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Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions
Zheng Shen, Matteo Saveriano, Fares Abu-Dakka, Sami Haddadin
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Towards a Unified Approach for Continuously-Variable Impedance Control of Powered Prosthetic Legs Over Walking Speeds and Inclines
Albert Lee, Curt A. Laubscher, T. Kevin Best, Robert D. Gregg
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Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning
Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
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CoNi-MPC: Cooperative Non-Inertial Frame Based Model Predictive Control
Baozhe Zhang, Xinwei Chen, Zhehan Li, Giovanni Beltrame, Chao Xu, Fei Gao, Yanjun Cao
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Learning Adaptive Safety for Multi-Agent Systems
Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu
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Uncertainty-Aware Hybrid Paradigm of Nonlinear MPC and Model-Based RL for Offroad Navigation: Exploration of Transformers in the Predictive Model
Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Paul Meger, Gregory Dudek
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Learning Diverse Skills for Local Navigation under Multi-Constraint Optimality
Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius
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Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions
Ryan Cosner, Igor Sadalski, Jana Woo, Preston Culbertson, Aaron Ames
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Barrier Functions Inspired Reward Shaping for Reinforcement Learning
Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal, Aayush Jain, Pushpak Jagtap, Shishir Kolathaya
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Effective Representation Learning Is More Effective in Reinforcement Learning Than You Think
Jiawei Zheng, Yonghong Song
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SliceIt! - a Dual Simulator Framework for Learning Robot Food Slicing
Cristian Camilo Beltran-Hernandez, Nicolas Erbetti, Masashi Hamaya
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An Efficient Model Based Approach on Learning Agile Motor Skills without Reinforcement
Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q.-H. Meng
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Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles
Joonhee Lim, Kibeom Lee, Dongsuk Kum
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Multi-robot Human-in-the-loop Control under Spatiotemporal Specifications
Yixiao Zhang, Victor Nan Fernandez-Ayala, Dimos V. Dimarogonas
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Helical Control in Latent Space: Enhancing Robotic Craniotomy Precision in Uncertain Environments
Yuanyuan Jia, Jessica Qu, Tadahiro Taniguchi
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Distributionally Robust CVaR-Based Safety Filtering for Motion Planning in Uncertain Environments
Sleiman Safaoui, Tyler Summers
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NPC: Neural Predictive Control for Fuel-Efficient Autonomous Trucks
Jiaping Ren, Jiahao Xiang, Hongfei Gao, Jinchuan Zhang, Yiming Ren, Yuexin Ma, Yi Wu, Ruigang Yang, Wei Li
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Adaptive Whole-Body Robotic Tool-Use Learning on Low-Rigidity Plastic-Made Humanoids Using Vision and Tactile Sensors
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models
Alex LaGrassa, Moonyoung Lee, Oliver Kroemer
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Kinematic Modeling and Control of a Soft Robotic Arm with Non-Constant Curvature Deformation
Zhanchi Wang, Gaotian Wang, Xiaoping Chen, Nikolaos Freris
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Autonomous Field-Of-View Adjustment Using Adaptive Kinematic Constrained Control with Robot-Held Microscopic Camera Feedback
Hung-Ching Lin, Murilo Marques Marinho, Kanako Harada
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Learning Active Manipulation to Target Shapes with Model-Free, Long-Horizon Deep Reinforcement Learning
Matias Sivertsvik, Kirill Sumskiy, Ekrem Misimi
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Hierarchical Learned Risk-Aware Planning Framework for Human Driving Modeling
Nathan Ludlow, Yiwei Lyu, John M. Dolan
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CACTO: Continuous Actor-Critic with Trajectory Optimization---Towards Global Optimality
Gianluigi Grandesso, Elisa Alboni, Gastone Pietro Rosati Papini, Patrick M. Wensing, Andrea Del Prete
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Online Calibration of a Single-Track Ground Vehicle Dynamics Model by Tight Fusion with Visual-Inertial Odometry
Haolong Li, Joerg Stueckler
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Event-Triggered Image Moments Predictive Control for Tracking Evolving Features Using UAVs
Sotiris Aspragkathos, George Karras, Kostas Kyriakopoulos
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Longitudinal Control Volumes: A Novel Centralized Estimation and Control Framework for Distributed Multi-Agent Sorting Systems
James Maier, Prasanna Sriganesh, Matthew Travers
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Multi-Task Learning of Active Fault-Tolerant Controller for Leg Failures in Quadruped Robots
Taixian Hou, Jiaxin Tu, Xiaofei Gao, Zhiyan Dong, Peng Zhai, Lihua ZHang
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N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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Safe Deep Policy Adaptation
Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi
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A Generalized Motion Control Framework of Dielectric Elastomer Actuators: Dynamic Modeling, Sliding-Mode Control and Experimental Evaluation
Jiang Zou, Shakiru Olajide Kassim, Jieji Ren, Vahid Vaziri, Sumeet S. Aphale, Guoying Gu
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Model-Based Runtime Monitoring with Interactive Imitation Learning
Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu
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Robust Policy Iteration of Uncertain Interconnected Systems with Imperfect Data
Omar Qasem, Weinan Gao
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On Robust Control Laws Trade-Off Analysis for Space Manipulators with Uncertain Parameters and Flexible Appendages
Kostas Nanos, Efstathios Chachamis, Evangelos Papadopoulos
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Perception-And-Energy-Aware Motion Planning for UAV Using Learning-Based Model under Heteroscedastic Uncertainty
Reiya Takemura, Genya Ishigami
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Design and Visual Servoing Control of a Hybrid Dual-Segment Flexible Neurosurgical Robot for Intraventricular Biopsy
Jian Chen, Mingcong Chen, Qing xiang Zhao, Shuai Wang, yihe wang, Ying Xiao, Jian Hu, Tat-Ming Chan, Kam Tong Leo yeung, David Yuen Chung chan, Hongbin Liu
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HyperPPO: A Scalable Method for Finding Small Policies for Robotic Control
Shashank Hegde, Zhehui Huang, Gaurav Sukhatme
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A Semi-Autonomous Data Driven Shared Control Framework for Robotic Manipulation and Cutting of an Unknown Deformable Tissue
Nicholas Strohmeyer, Ji Hwan Park, Braden Murphy, Farshid Alambeigi
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Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
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OmniLRS: A Photorealistic Simulator for Lunar Robotics
Antoine Richard, Junnosuke Kamohara, Kentaro Uno, Shreya Santra, Dave van der Meer, Miguel A. Olivares-Mendez, Kazuya Yoshida
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Neural Radiance Fields for Unbounded Lunar Surface Scene
Xu Zhang, Linyan Cui, Jihao Yin
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An Intelligent Robotic Endoscope Control System Based on Fusing Natural Language Processing and Vision Models
Beili Dong, Junhong Chen, Zeyu Wang, Kaizhong Deng, Yiping Li, Benny Ping Lai Lo, George Mylonas
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Robust Autonomous Vehicle Pursuit without Expert Steering Labels
Jiaxin Pan, Changyao Zhou, Mariia Gladkova, Qadeer Khan, Daniel Cremers
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A Hybrid Admittance Control Algorithm for Automatic Robotic Cranium-Milling
Chen Qian, Zhen Li, Qiang Ye, Pei Cong Ge, Jizong Zhao, Gui-Bin Bian
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Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation
Michelle Guo, Ziang Liu, Stephen Tian, Zhaoming Xie, Jiajun Wu, Karen Liu
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BaSAL: Size Balanced Warm Start Active Learning for LiDAR Semantic Segmentation
Jiarong WEI, Yancong Lin, Holger Caesar
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Development of a Four-Wheel Steering Scale Vehicle for Research and Education on Autonomous Vehicle Motion Control
Christopher Rother, Zhaodong Zhou, Jun Chen
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Learning Agile Locomotion and Adaptive Behaviors Via RL-Augmented MPC
Yiyu Chen, Quan Nguyen
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Adapting to the �Open World�: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning
Pierrick Lorang, Horvath Helmut, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz
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LPNet: A Reaction-Based Local Planner for Autonomous Collision Avoidance Using Imitation Learning
Junjie Lu, Bailing Tian, Hongming Shen, Xuewei Zhang, Yulin Hui
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