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Human-Friendly Robotics 2021 : HFR: 14th International Workshop on Human-Friendly Robotics / edited by Gianluca Palli, Claudio Melchiorri, Roberto Meattini

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Springer Proceedings in Advanced Robotics ; 23Publisher: Cham : Springer International Publishing, 2022Publisher: Cham : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XII, 138 p. 64 illus., 59 illus. in color.)ISBN:
  • 9783030963590
Subject(s): Additional physical formats: 9783030963583 | 9783030963606 | 9783030963613 | Erscheint auch als: 9783030963583 Druck-Ausgabe | Erscheint auch als: 9783030963606 Druck-Ausgabe | Erscheint auch als: 9783030963613 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-96359-0Online resources: Summary: Combining Hybrid Genetic Algorithms and Feedforward Neural Net-works for Pallet Loading in Real- World Applications -- Complete and consistent payload identification during human-robot collaboration: a safety oriented procedure -- Deep Learning and OcTree-GPU-based ICP for Efficient 6D Model Registration of Large Objects.Summary: This book is a collection of research results in a wide range of topics related to human–robot interaction, both physical and cognitive, including theories, methodologies, technologies, and empirical and experimental studies. The works contained in the book have been presented at the 14th International Workshop on Human-Friendly Robotics (HFR 2021), organized by the University of Bologna (Bologna, Italy, October 28–29, 2021), and they describe the most original achievements in the field of human–robot interaction coming from the ideas of young researchers. The intended readership of the book is any researcher in the field of robotics interested to research problems related to human–robot coexistence, like robot interaction control, robot learning, and human–robot co-working.PPN: PPN: 179973384XPackage identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT
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