Print Email Facebook Twitter Modeling Human Motor Skills to Enhance Robots’ Physical Interaction Title Modeling Human Motor Skills to Enhance Robots’ Physical Interaction Author Averta, Giuseppe (University of Pisa; Istituto Italiano di Tecnologia) Arapi, Visar (University of Pisa) Bicchi, Antonio (University of Pisa; Istituto Italiano di Tecnologia) Della Santina, C. (TU Delft Learning & Autonomous Control; Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)) Bianchi, Matteo (University of Pisa) Contributor Saveriano, Matteo (editor) Renaudo, Erwan (editor) Rodríguez-Sánchez, Antonio (editor) Piater, Justus (editor) Date 2021 Abstract The need for users’ safety and technology acceptability has incredibly increased with the deployment of co-bots physically interacting with humans in industrial settings, and for people assistance. A well-studied approach to meet these requirements is to ensure human-like robot motions and interactions. In this manuscript, we present a research approach that moves from the understanding of human movements and derives usefull guidelines for the planning of arm movements and the learning of skills for physical interaction of robots with the surrounding environment. Subject Human motor controlHuman-like robotic movementsLearning from humansMachine learning To reference this document use: http://resolver.tudelft.nl/uuid:876bac12-26ed-4893-8ec3-6b09503ef82c DOI https://doi.org/10.1007/978-3-030-71356-0_9 Publisher Springer Embargo date 2021-09-07 ISBN 978-3-030-71355-3 Source Human-Friendly Robotics 2020: Proceedings of the 13th International Workshop on Human-Friendly Robotics (HFR 2020) Event HFR 2020: 13th International Workshop on Human-Friendly Robotics, 2020-10-01 → 2020-10-02, Innsbruck, Austria Series Springer Proceedings in Advanced Robotics, 2511-1256, 18 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type book chapter Rights © 2021 Giuseppe Averta, Visar Arapi, Antonio Bicchi, C. Della Santina, Matteo Bianchi Files PDF Averta2021_Chapter_Modeli ... ToEnha.pdf 3.11 MB Close viewer /islandora/object/uuid:876bac12-26ed-4893-8ec3-6b09503ef82c/datastream/OBJ/view