المؤلفون: Priyanka Rao, Quentin Peyron, Jessica Burgner-Kahrs

المساهمون: Continuum Robotics Laboratory (CRL), Departement of Computer Science, University of Toronto (DCS-UT), Deformable Robots Simulation Team (DEFROST ), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Deformable Robots Simulation Team [DEFROST ]

المصدر: IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters, 2022, 7 (3), pp.8114-8121. ⟨10.1109/LRA.2022.3185377⟩

مصطلحات موضوعية: Control and Optimization, Kinematics, Mechanical Engineering, Biomedical Engineering, Modeling, Modeling Control and Learning for Soft Robots Flexible Robotics Kinematics, Control, and Learning for Soft Robots, Flexible Robotics, Computer Science Applications, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Human-Computer Interaction, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition

وصف الملف: application/octet-stream

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55a447a6ab41038678004de9d4bd7ead
https://hal.science/hal-03899902