Human-friendly robotics 2021 HFR: 14th International Workshop on Human-Friendly Robotics
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 Registr...
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| Weitere Verfasser: | , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2022
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| Schriftenreihe: | Springer proceedings in advanced robotics
23 |
| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis |
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Tag hinzufügen | Zusammenfassung: | 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. 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. |
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| Beschreibung: | xii, 138 Seiten Illustrationen |
| ISBN: | 9783030963583 978-3-030-96358-3 |