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Sucker Attachment and Detachment Patterns in Octopus Vulgaris

Published: 01 August 2023 Publication History

Abstract

Octopus vulgaris has become an important model for motor control studies in soft robotics, due to its highly developed neural system and complexity in motion. For the past ten years, research on octopus arm motor system has provided advancements in understanding the control system of these hyper-redundant and flexible structures with further implementation in the field of soft robotics. In this work, we performed a correlation study of the sucker size and structure with their pattern of “attachment and detachment” using morphological and in-vivo behavior observational approaches.
Three main patterns of sucker attachment and detachment were identified and coded as ‘Contraction Attachment/Detachment‘ (CA/CD), ‘Orientation-Contraction Attachment‘ (OCA), and ‘Wave-Like Attachment/Detachment’ (WLA/WLD). The first two were more frequently used in attachment and the third one in detachment. Suckers involved in these motions showed a similar morphology and no correlation between the use of a specific strategy and their size was found.
We interestingly found indications of a possible association between the sucker strategy of attachment/detachment and overall arm movement. This suggests that the control of the sucker motion pattern may be linked to the suckers’ functional use and interpreted within the framework of the animal behavior.

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Information

Published In

cover image Guide Proceedings
Biomimetic and Biohybrid Systems: 12th International Conference, Living Machines 2023, Genoa, Italy, July 10–13, 2023, Proceedings, Part I
Jul 2023
476 pages
ISBN:978-3-031-38856-9
DOI:10.1007/978-3-031-38857-6
  • Editors:
  • Fabian Meder,
  • Alexander Hunt,
  • Laura Margheri,
  • Anna Mura,
  • Barbara Mazzolai

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 August 2023

Author Tags

  1. Sucker
  2. Octopus
  3. Attachment
  4. Detachment
  5. Soft robotics
  6. Behavior
  7. Motion
  8. Neural control

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