Print Email Facebook Twitter A Provably Stable Iterative Learning Controller for Continuum Soft Robots Title A Provably Stable Iterative Learning Controller for Continuum Soft Robots Author Pierallini, M. (University of Pisa) Stella, F. (Swiss Federal Institute of Technology) Angelini, Franco (University of Pisa) Deutschmann, Bastian (Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)) Hughes, Josie (Swiss Federal Institute of Technology) Bicchi, Antonio (University of Pisa; Fondazione Istituto Italiano di Tecnologia) Garabini, Manolo (University of Pisa) Della Santina, C. (TU Delft Learning & Autonomous Control; Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)) Date 2023 Abstract Fully exploiting soft robots' capabilities requires devising strategies that can accurately control their movements with the limited amount of control sources available. This task is challenging for reasons including the hard-to-model dynamics, the system's underactuation, and the need of using a prominent feedforward control action to preserve the soft and safe robot behavior. To tackle this challenge, this letter proposes a purely feedforward iterative learning control algorithm that refines the torque action by leveraging both the knowledge of the model and data obtained from past experience. After presenting a 3D polynomial description of soft robots, we study their intrinsic properties, e.g., input-to-state stability, and we prove the convergence of the controller coping with locally Lipschitz nonlinearities. Finally, we validate the proposed approach through simulations and experiments involving multiple systems, trajectories, and in the case of external disturbances and model mismatches. Subject Feedforward systemsKinematicsModeling, Control, and Learning for Soft RobotsMotion ControlRobotsSoft roboticsSolid modelingThree-dimensional displaysTrajectoryUnderactuated Robots To reference this document use: http://resolver.tudelft.nl/uuid:96dff9ca-3aa1-4882-a29d-c232616904c4 DOI https://doi.org/10.1109/LRA.2023.3307007 ISSN 2377-3766 Source IEEE Robotics and Automation Letters, 8 (10), 6427-6434 Part of collection Institutional Repository Document type journal article Rights © 2023 M. Pierallini, F. Stella, Franco Angelini, Bastian Deutschmann, Josie Hughes, Antonio Bicchi, Manolo Garabini, C. Della Santina Files PDF A_Provably_Stable_Iterati ... Robots.pdf 2.26 MB Close viewer /islandora/object/uuid:96dff9ca-3aa1-4882-a29d-c232616904c4/datastream/OBJ/view