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Biomimetic and Biohybrid Systems

13th International Conference, Living Machines 2024, Chicago, IL, USA, July 8–11, 2024, Proceedings

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Nicholas S. Szczecinski

    1. West Virginia University, Morgantown, USA

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  2. Victoria Webster-Wood

    1. Carnegie Mellon University, Pittsburgh, USA

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  3. Matthew Tresch

    1. Northwestern University, Evanston, USA

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  4. William R. P. Nourse

    1. Case Western Reserve University, Cleveland, USA

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  5. Anna Mura

    1. Radboud University, Nijmegen, The Netherlands

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  6. Roger D. Quinn

    1. Case Western Reserve University, Cleveland, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14930)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: Living Machines 2024.

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About this book

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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Table of contents (31 papers)

  1. Front Matter

    Pages i-xiv
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  2. Brain Network Modeling

    1. Front Matter

      Pages 1-1
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    2. BrainX3 3.0: Advancing Neuroinformatics and Artificial Brains for Living Machines

      • Man Yang, Bas J. N. M. Drost, Dante Aviñó, Benedetta Felici, Francisco Páscoa dos Santos, Raimon Bullich Vilarrubias et al.
      Pages 3-17

    3. Towards Biophysical Network Simulation of Stochastically-Formed Neurospheres

      • Michael J. Bennington, Victoria A. Webster-Wood
      Pages 18-33

  3. Tools for Studying Behaviors

    1. Front Matter

      Pages 35-35
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    2. FlyWheel: A Robotic Platform for Modeling Fly Visual Behavior

      • William R. P. Nourse, Roger D. Quinn
      Pages 37-51

    3. A Coupled-Oscillator Model of Human Attachment Dynamics Evaluated in a Robot Dyadic Interaction

      • Aung Htet, Alejandro Jimenez-Rodriguez, Marcantonio Gagliardi, Tony J. Prescott
      Pages 52-67

    4. Creating an Artificial No-Fly Zone with Sensory Disruptions

      • Andrew Taylor Giang, Brian K. Taylor
      Pages 68-79

  4. Sensors and Sensing

    1. Front Matter

      Pages 81-81
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    2. Maximizing Robotic Limb Rigidity and Strain Sensing Capabilities Through Localized Kevlar Fiber Reinforcement

      • Gesa F. Dinges, Isabella Kudyba, Sasha N. Zill, Nicholas S. Szczecinski
      Pages 83-93

    3. Flexible Strain Gauge Sensors as Real-Time Stretch Receptors for Use in Biomimetic BPA Muscle Applications

      • Rochelle Jubert, Alexander Hunt, Michael Hopkins
      Pages 94-108

    4. Sensory Feedback Cancellation: Developing Resonator Networks to Mimic A. leptorhynchu’s Cerebellar Processing of Sensory Feedback

      • Sheldon P. Johnson, Gary Marsat, Nicholas S. Szczecinski
      Pages 109-118

  5. Navigational Systems

    1. Front Matter

      Pages 119-119
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    2. Binocular Vision and Vector-Summation Based Integration of Bilateral Innate and Learned Visual Cues in Insect Navigation

      • Qin Sun, Xuelong Sun, Haiyang Li
      Pages 121-134

    3. Bioinspired Magnetic Navigation for Exploring Celestial Bodies

      • Renzhi Li, Thao Quynh Ngo, Jeffrey P. Gill, Catherine Kehl, Brian K. Taylor
      Pages 135-147

    4. Bioinspired Navigation Based on Distributed Sensing in the Leech Using Dynamic Neural Fields

      • Sebastian T. Nichols, Jeffrey P. Gill, Bruno Mota, Cynthia M. Harley, Brian K. Taylor
      Pages 148-162

    5. A Comparative Study of Reinforcement Learning and Insect-Inspired Visual Navigation Methods

      • Xiaoting Zhong, Xuelong Sun, Haiyang Li
      Pages 163-175

  6. Control and Mechanics of Soft and Continuum Systems

    1. Front Matter

      Pages 177-177
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    2. Erodium Awn’s Water Transport Insights for Controlled Swelling Agent Rearrangement in Anisotropic Structures

      • Yauheni Sarokin, Alvo Aabloo, Indrek Must
      Pages 179-192

    3. Simulated Control of an Aquatic Serpentine Robot with Stable Heteroclinic Channels

      • Nathaniel Mengers, Natasha Rouse, Kathryn A. Daltorio
      Pages 193-207
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Other volumes

  1. Biomimetic and Biohybrid Systems

Editors and Affiliations

  • West Virginia University, Morgantown, USA

    Nicholas S. Szczecinski

  • Carnegie Mellon University, Pittsburgh, USA

    Victoria Webster-Wood

  • Northwestern University, Evanston, USA

    Matthew Tresch

  • Case Western Reserve University, Cleveland, USA

    William R. P. Nourse, Roger D. Quinn

  • Radboud University, Nijmegen, The Netherlands

    Anna Mura

Bibliographic Information

  • Book Title: Biomimetic and Biohybrid Systems

  • Book Subtitle: 13th International Conference, Living Machines 2024, Chicago, IL, USA, July 8–11, 2024, Proceedings

  • Editors: Nicholas S. Szczecinski, Victoria Webster-Wood, Matthew Tresch, William R. P. Nourse, Anna Mura, Roger D. Quinn

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-72597-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Softcover ISBN: 978-3-031-72596-8Published: 13 December 2024

  • eBook ISBN: 978-3-031-72597-5Published: 12 December 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 462

  • Number of Illustrations: 18 b/w illustrations, 183 illustrations in colour

  • Topics: Artificial Intelligence

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