Lecture Notes in Artificial Intelligence

Interactive Collaborative Robotics

Chronologie aller Bände (1 - 2)

Die Reihenfolge beginnt mit dem eBook "Interactive Collaborative Robotics". Wer alle eBookz der Reihe nach lesen möchte, sollte mit diesem Band von Andrey Ronzhin beginnen. Der zweite Teil der Reihe "Biomimetic and Biohybrid Systems" ist am 29.10.2024 erschienen. Die Reihe umfasst derzeit 2 Bände. Der neueste Band trägt den Titel "Biomimetic and Biohybrid Systems".

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  • Start der Reihe: 04.09.2023
  • Neueste Folge: 29.10.2024

Diese Reihenfolge enthält 2 unterschiedliche Autoren.

Cover: Interactive Collaborative Robotics
  • Autor: Ronzhin, Andrey
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  • Medium: E-Book
  • Veröffentlicht: 04.09.2023
  • Genre: Roman

Interactive Collaborative Robotics

This book constitutes the refereed proceedings of the 8th International Conference on Interactive Collaborative Robotics, ICR 2023, held in Baku, Azerbaijan, during October 25–29, 2023.
The 33 full papers included in this book were carefully reviewed and selected from 56 submissions. They were organized in topical sections as follows: focused the foundations and means of collaborative behavior of one or more robots physically interacting with hu-mans in operational environments configured with embedded sensor networks and cloud services under uncertainty and environmental variability.
Cover: Biomimetic and Biohybrid Systems
  • Autor: Szczecinski, Nicholas S
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  • Medium: E-Book
  • Veröffentlicht: 29.10.2024
  • Genre: Sonstiges

Biomimetic and Biohybrid Systems

This proceeding constitutes the 13th International Conference on Biomimetic and Biohybrid Systems, held in Chicago, IL, USA, during July 8–11, 2024.

The 27 full papers and 4 short papers were carefully reviewed and selected from 35 submissions. They were categorized under the following topics: Brain Network Modeling; Tools for Studying Behaviors; Sensors and Sensing, Navigational Systems; Control and Mechanics of Soft and Continuum Systems; System Design; Neural Networks for Computation; Bio Inspired Neural Networks for Control; Biohybrid Systems; and Biomechanics.

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