Human-Friendly Robotics 2021

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Details

This book is a collection of research results in a wide range of topics related to humanrobot 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 2829, 2021), and they describe the most original achievements in the field of humanrobot 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 humanrobot coexistence, like robot interaction control, robot learning, and humanrobot co-working.


Includes proceedings of the 14th International Workshop on Human-Friendly Robotics (HFR 2021) held in Bologna Brings together academic scientists, researchers, and research scholars to exchange and share their experiences Covers a wide range of topics related to humanrobot interaction, both physical and cognitive

Inhalt
Combining Hybrid Genetic Algorithms and Feedforward Neural Net-works for Pallet Loading in Real- World Applications.- Complete and consistent payload identification during human-robotcollaboration: a safety oriented procedure.- Deep Learning and OcTree-GPU-based ICP for Efficient 6D Model Registration of Large Objects.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030963613
    • Lesemotiv Verstehen
    • Genre Electrical Engineering
    • Auflage 1st edition 2022
    • Editor Gianluca Palli, Roberto Meattini, Claudio Melchiorri
    • Sprache Englisch
    • Anzahl Seiten 152
    • Herausgeber Springer International Publishing
    • Größe H235mm x B155mm x T9mm
    • Jahr 2023
    • EAN 9783030963613
    • Format Kartonierter Einband
    • ISBN 3030963616
    • Veröffentlichung 17.04.2023
    • Titel Human-Friendly Robotics 2021
    • Untertitel HFR: 14th International Workshop on Human-Friendly Robotics
    • Gewicht 242g

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